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Standard Chartered PLC — Audit Report / Information 2017
Feb 27, 2018
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Audit Report / Information
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Pillar 3 Disclosures 2017
Driving commerce and prosperity through our unique diversity
Contents
| 1. Introduction | 1 |
|---|---|
| 1.1 Purpose and basis of preparation | 1 |
| 1.2 Highlights | 1 |
| 1.3 Regulatory disclosure framework | 2 |
| 1.4 Risk management | 3 |
| 1.5 Enhancements and future developments of Pillar 3 | 4 |
| 1.6 Accounting and regulatory consolidation | 4 |
| 1.7 Signifi cant subsidiaries | 6 |
| 1.8 Comparison of accounting balance sheet and exposure at default |
6 |
| 2. Capital | 11 |
| 2.1 Capital management | 11 |
| 2.2 Capital resources | 11 |
| 2.3 Countercyclical capital buffer | 14 |
| 2.4 Capital requirements | 16 |
| 2.5 Leverage ratio | 19 |
| 3. Credit risk | 23 |
| 3.1 Internal Ratings Based Approach to credit risk | 23 |
| 3.2 Standardised Approach to credit risk | 23 |
| 3.3 Internal Ratings Based models | 23 |
| 3.4 Exposure values | 33 |
| 3.5 Regulatory expected loss vs. impairment charge | 44 |
| 3.6 Risk grade profi le | 44 |
| 3.7 Credit risk mitigation | 57 |
| 3.8 Standardised risk weight profi le | 60 |
| 3.9 Counterparty credit risk | 63 |
| 3.10 Securitisation | 72 |
| 4. Market risk | 76 |
| 5. Interest rate risk in the banking book | 82 |
| 6. Liquidity risk | 83 |
| 6.1 Encumbered and unencumbered assets | 86 |
| 7. Forward looking statements | 88 |
| Annex 1 Standard Chartered Signifi cant Subsidiaries | 89 |
| Acronyms | 95 |
| Glossary | 96 |
| Prudential disclosure reference table | 101 |
| Summary of differences between the Pillar 3 Disclosures and the Risk and capital review sections of the Annual Report |
109 |
Tables
| 1. Key metrics for Group (KM1) | 2 |
|---|---|
| 2. Regulatory consolidation | 5 |
| 3. Outline of the differences in the scopes of consolidation (L13) | 5 |
| 4. Differences between accounting and regulatory scopes of consolidation and the mapping of fi nancial statement categories with regulatory risk categories (LI1) |
7 |
| 5. Main sources of differences between regulatory exposure amounts and carrying values in fi nancial statements (LI2) |
9 |
| 6. Prudent valuation adjustments (PVA) (PV1) | 10 |
| 7. Reconciliation between fi nancial total equity and regulatory CET1 before regulatory adjustments |
11 |
| 8. Capital base | 12 |
| 9. Capital ratios and buffers | 13 |
| 10. Geographical distribution of credit exposures relevant for the calculation of the countercyclical capital buffer |
14 |
| 11. Amount of institution specifi c countercyclical capital buffer | 16 |
| 12. Overview of RWA (OV1) | 17 |
| 13. Movement analysis for RWA | 18 |
| 14. RWA fl ow statements of credit risk exposures under IRB (CR8) |
18 |
| 15. RWA fl ow statements of market risk exposures under an IMA (MR2-B) |
19 |
| 16. UK Leverage and CRR Leverage Ratio | 20 |
| 17. Summary reconciliation of accounting assets and leverage ratio exposures |
20 |
| 18. Leverage ratio common disclosure | 21 |
| 19. Leverage ratio: Split-up of on-balance sheet exposures (excluding derivatives, SFTs and exempted exposures) |
22 |
| 20. CIC model results | 25 |
| 21. Retail model results | 25 |
| 22. IRB – Backtesting of probability of default (PD) for central governments or central banks (CR9) |
25 |
| 23. IRB – Backtesting of probability of default (PD) for institutions (CR9) |
26 |
| 24. IRB – Backtesting of probability of default (PD) for corporates (CR9) |
27 |
| 25. IRB – Backtesting of probability of default (PD) for corporates – specialised lending (CR9) |
28 |
| 26. IRB – Backtesting of probability of default (PD) for corporates – SME (CR9) |
29 |
| 27. IRB – Backtesting of probability of default (PD) for retail (CR9) | 30 |
| 28. IRB – Backtesting of probability of default (PD) for retail SME (CR9) |
31 |
| 29. IRB – Backtesting of probability of default (PD) for retail – Secured by real estate property (CR9) |
32 |
| 30. IRB – Backtesting of probability of default (PD) for retail – qualifying revolving (CR9) |
33 |
| 31. Total and average exposure at default (CRB-B) | 34 |
| 32. Exposure at default by geography (CRB-C) | 35 |
| 33. Exposure at default by industry (CRB-D) | 37 |
|---|---|
| 34. Exposure at default by maturity (CRB-E) | 39 |
| 35. Credit quality of exposures by exposure class and instrument (CR1-A) |
41 |
| 36. Credit quality of exposures by industry or counterparty types (CR1-B) |
42 |
| 37. Credit quality of exposures by geography (CR1-C) | 42 |
| 38. Ageing of past-due exposures (CR1-D) | 42 |
| 39. Non-performing and forborne exposures (CR1-E) | 43 |
| 40. Changes in the stock of general and specifi c credit risk adjustments (CR2-A) |
43 |
| 41. Changes in the stock of defaulted and impaired loans and debt securities (CR2-B) |
43 |
| 42. Regulatory expected loss | 44 |
| 43. Exposure weighted average PD% and LGD% by geography | 45 |
| 44. IRB – Credit risk exposures by exposure class | 46 |
| 45. Internal ratings mapping to external ratings | 48 |
| 46. IRB credit exposure by internal PD grade for central governments or central banks (CR6) |
49 |
| 47. IRB credit exposure by internal PD grade for institutions (CR6) | 50 |
| 48. IRB credit exposure by internal PD grade for Corporates (CR6) |
51 |
| 49. IRB credit exposure by internal PD grade for corporates specialised lending (CR6) |
52 |
| 50. IRB credit risk exposure by internal PD grade for corporates SME (CR6) |
53 |
| 51. IRB credit exposure by internal PD grade for retail (CR6) | 54 |
| 52. IRB credit exposure by internal PD grade for retail - secured by real estate property (CR6) |
55 |
| 53. IRB credit exposure by internal PD grade for retail - qualifying revolving (CR6) |
56 |
| 54. IRB credit exposure by internal PD grade for retail - SME (CR6) |
57 |
| 55. CRM techniques – Overview (CR3) | 58 |
| 56. Effect of guarantees and collateral | 58 |
| 57. Standardised approach – credit risk exposure and Credit Risk Mitigation (CRM) effects (CR4) |
59 |
| 58. Standardised approach – exposures by asset classes and risk weights (pre CRM pre CCF) (CR5) |
60 |
| 59. Standardised approach – exposures by asset classes and risk weights (post CRM post CCF) (CR5) |
62 |
| 60. Impact of netting and collateral held on exposure values (CCR5-A) |
64 |
| 61. Analysis of CCR exposure by approach (CCR1) | 64 |
| 62. Exposures to central counterparties (CCPs) (CCR8) | 65 |
| 63. Credit derivatives exposures (CCR6) | 65 |
| 64. Credit valuation adjustment (CVA) capital charge (CCR2) | 65 |
| 65. Standardised approach – CCR exposures by regulatory portfolio and risk (CCR3) |
66 |
|---|---|
| 66. IRB – CCR exposures by exposure class | 67 |
| 67. IRB – CCR exposures by PD scale for central governments or central banks (CCR4) |
67 |
| 68. IRB – CCR exposures by PD scale for institutions (CCR4) | 68 |
| 69. IRB – CCR exposures by PD scale for corporates (CCR4) | 69 |
| 70. IRB – CCR exposures by PD scale for corporates - specialised lending (CCR4) |
70 |
| 71. IRB – CCR exposures by PD scale for corporates - SME (CCR4) |
71 |
| 72. Securitisation: ABS purchased or retained | 72 |
| 73. Securitisation programmes (as originator) | 74 |
| 74. Securitisation positions by risk-weight category | 74 |
| 75. Securitisation positions by region | 75 |
| 76. Daily value at risk (VaR at 97.5%, one day) | 78 |
| 77. Daily value at risk (VaR at 97.5%, one day) by products | 78 |
| 78. Market risk regulatory capital requirements | 79 |
| 79. Market risk under standardised approach (MR1) | 79 |
| 80. IMA values for trading portfolios (MR3) | 80 |
| 81. Market risk under internal models approach (MR2-A) | 80 |
| 82. 2017 Backtesting chart for Internal Model Approach regulatory trading book at Group level with hypothetical profi t and loss (P&L) versus VaR (99%, one day) (MR4)) |
81 |
| 83. 2017 Backtesting chart for Internal Model Approach regulatory trading book at Group level with actual profi t and loss (P&L) versus VaR (99%, one day) (MR4) |
81 |
| 84. Treasury Markets PV01 by currency | 82 |
| 85. Liquidity Coverage Ratio (LCR) (LIQ1) | 84 |
| 86. Total eligible high-quality liquid assets (HQLA) | 85 |
| 87. Encumbered and unencumbered assets | 86 |
| 88. Encumbered assets/collateral received and associate liabilities |
86 |
| 89. Median value versus annual disclosure comparative | 87 |
Standard Chartered PLC (SC PLC) is headquartered in London where it is authorised by the UK's Prudential Regulation Authority (PRA), and Standard Chartered PLC Group and Standard Chartered Bank are regulated by the Financial Conduct Authority (FCA) and the PRA. Within this document 'the Group' refers to Standard Chartered PLC together with its subsidiary undertakings. The regions of Greater China, North East (NE) Asia, South Asia, ASEAN, MENAP, are defi ned in the Glossary on pages 96 to 100. Throughout this document unless specifi ed the disclosures are at Group level. Throughout this document, unless another currency is specifi ed, the word 'dollar' or symbol \$ means United States dollar. Throughout this document IRB refers to internal ratings based models. The Group does not use the Foundation IRB approach.
1. Introduction
1.1 Purpose and basis of preparation
The Pillar 3 Disclosures comprise detailed information on the underlying drivers of risk-weighted assets (RWA), capital, leverage and liquidity ratios as at 31 December 2017 in accordance with the European Union's (EU) Capital Requirements Regulation (CRR) and the Prudential Regulation Authority's (PRA) Rulebook.
The disclosures have been prepared in line with the disclosure templates introduced by the European Banking Authority's (EBA) guidelines on disclosure requirements (EBA/ GL/2016/11) published in December 2016.
This report presents the annual Pillar 3 disclosures of Standard Chartered PLC ('the Group') as at 31 December 2017 and should be read in conjunction with the Group's Annual Report and Accounts.
The information presented in this Pillar 3 report is not required to be, and has not been, subjected to external audit.
1.2 Highlights
- ¼ The Group's capital and leverage position is managed within the Board-approved Risk Appetite. The Group is well capitalised with low leverage and high levels of loss-absorbing capacity
- ¼ The Group is well capitalised with an end point Common Equity Tier 1 (CET1) ratio of 13.6 per cent that is well ahead of the current requirement of 8.1 per cent and the currently expected 2019 minimum requirement of 10.0 per cent
- ¼ The Group is not highly leveraged and its leverage ratio of 6.0 per cent is well ahead of the currently expected 2019 leverage requirement of 3.7 per cent
- ¼ The Group continues to manage its balance sheet proactively, with a particular focus on the effi cient management of RWA
RWA by risk type 2017 \$million
RWA by risk type 2016 \$million
Table 1: Key metrics for the Group (KM1)
| 2017 | 2016 | |
|---|---|---|
| Available capital amounts1 | \$million | \$million |
| Common Equity Tier 1 (CET1) | 38,162 | 36,608 |
| Tier 1 | 44,861 | 42,292 |
| Total capital | 58,758 | 57,438 |
| Risk-weighted asset amounts | ||
| Total risk-weighted assets (RWA) | 279,748 | 269,445 |
| Risk-based capital ratios as a percentage of RWA1 | ||
| Common Equity Tier 1 ratio (%) | 13.6% | 13.6% |
| Tier 1 ratio (%) | 16.0% | 15.7% |
| Total capital ratio (%) | 21.0% | 21.3% |
| Additional CET1 buffer requirements as a percentage of RWA1 | ||
| Capital conservation buffer requirement (2.5% from 2019) (%) | 1.25% | 0.63% |
| Countercyclical buffer requirement (%) | 0.2% | 0.1% |
| Bank G-SIB and/or D-SIB additional requirements (%) | 0.5% | 0.3% |
| Total of bank CET1 specifi c buffer requirements (%) | 1.9% | 1.0% |
| CET1 available after meeting the bank's minimum capital requirements (%) | 7.5% | 7.5% |
| UK leverage ratio | ||
| Total UK leverage ratio exposure measure | 717,344 | 674,327 |
| UK leverage ratio (%) | 6.0% | 6.0% |
| Liquidity Coverage Ratio2 | ||
| Total HQLA | 144,280 | N/A |
| Total net cash outfl ow | 97,438 | N/A |
| LCR ratio (%) | 148.2% | N/A |
1 Capital requirements are presented using transitional positions
2 In line with the EBA guidelines (EBA/GL/2016/11) requirements on new disclosures, there are no comparatives provided for LCR
1.3 Regulatory disclosure framework
The Group complies with the Basel III framework as implemented in the United Kingdom (UK). The Basel III framework is built on the three pillars of the Basel II framework.
Pillar 1: Sets the minimum capital requirements for credit risk, market risk and operational risk.
Pillar 2: Considers through the Supervisory Review and Evaluation Process whether further capital is required in addition to Pillar 1 calculations.
Pillar 3: Aims to provide a consistent and comprehensive disclosure framework that enhances comparability between banks and further promotes improvements in risk management. Pillar 3 requires all material risks to be disclosed, enabling a comprehensive view of the bank's risk profi le.
The Pillar 3 Disclosures 2017 comprise all information required to be included in the UK and are prepared at the Group consolidated level. Where disclosure has been withheld as proprietary or non-material, as permitted by the rules, appropriate comment has been
included. It is the Group's intention that the Pillar 3 Disclosures be viewed as an integral, albeit separately reported, element of the Annual Report and Accounts. The Group considers a number of factors in determining where disclosure is made between the Annual Report and Accounts and Pillar 3, including International Financial Reporting Standards (IFRS), regulatory requirements and industry best practice. Pages 109 to 110 of this document provide a summary of differences and cross references between the Annual Report and Accounts and the Pillar 3 Disclosures.
Remuneration
The qualitative and quantitative Pillar 3 remuneration disclosures for the 2017 performance year are set out on pages 83 to 102 of the Directors' remuneration report in the 2017 Annual Report and Accounts. Information is provided on the key components of our remuneration approach and how we develop our approach. The disclosures follow the requirements set out in Part 8 of the Capital Requirements Regulation and the Basel Committee on Banking Supervision standards issued in March 2017.
G-SIB
The Group has been identifi ed as a Global Systemically Important Bank (G-SIB) by the Financial Stability Board (FSB) since November 2012. The Group's score from the Basel Committee on Banking Supervision's methodology for assessing and identifying G-SIBs has resulted in an additional loss-absorbency requirement of 1 per cent of CET1. This requirement is being phased in over the period 1 January 2016 to 1 January 2019. The EU's Capital Requirements Directive (CRD IV) mandates the Group to publicly disclose the value of its Global Systemically Important Institution (G-SII) indicators on an annual basis. The terms 'G-SIB' and 'G-SII' are interchangeable – 'G-SIB' is used by the FSB and Basel Committee, whereas CRD IV refers to 'G-SII'. The Standard Chartered PLC 2016 G-SII disclosure is published on investors.sc.com/ fullyearresults
Frequency
In accordance with Group policy, the Pillar 3 Disclosures are made quarterly as at 31 March, 30 June, 30 September and 31 December in line with the EBA guidelines on materiality, proprietary and confi dentiality and on disclosure frequency, and the guidelines on disclosure requirements (EBA/ GL/2014/14 and EBA/GL/2016/11). Disclosures are published on the Standard Chartered PLC website aligning with the publication date of the Group's Interim, Half Year and Annual Report and Accounts.
Verifi cation
Whilst the Pillar 3 Disclosures 2017 are not required to be externally audited, the document has been verifi ed internally in accordance with the Group's policies on disclosure and its fi nancial reporting and governance processes. Controls comparable to those for the 2017 Annual Report and Accounts have been applied to confi rm compliance with PRA regulations.
- ¼ Items excluded on the grounds of materiality:
- Quantitative disclosures of specialised lending exposures where the simple risk-weight approach is used, nondeducted participations in insurance undertakings, composition of collateral for exposures to derivatives and securities fi nancing transactions, and off-balance sheet collateral received
- Qualitative and quantitative disclosures on exposures to equities not included in the trading book
- ¼ Comparatives: The EBA guidelines do not require comparatives to be presented on implementation, therefore comparatives have not been presented for all tables
1.4 Risk management
The management of risk is a key component of the Group's business. One of the main risks we incur arises from extending credit to customers through our trading and lending operations. Beyond credit risk, we are also exposed to a range of other risk types such as country, market, capital and liquidity, operational, reputational, compliance, conduct, information and cyber security and fi nancial crime risks that are inherent in our strategy, product range and geographical coverage.
In the Risk management approach section of the 2017 Annual Report and Accounts we describe our approach and strategy for managing risk. We discuss our risk management objectives, scope and main content of risk reporting, and policies in relation to our main activities and signifi cant risks.
The Group is exposed to ten key risks:
- ¼ Credit risk (refer to section Credit risk in pages 165 to 167 of the 2017 Annual Report and Accounts)
- ¼ Country risk (refer to section Country risk on page 168 of the 2017 Annual Report and Accounts)
- ¼ Market risk (refer to section Market risk on pages 169 to 170 of the 2017 Annual Report and Accounts)
- ¼ Capital and liquidity risk (refer to section Capital and liquidity risk on pages 171 to 172 of the 2017 Annual Report and Accounts)
- ¼ Operational risk (refer to section Operational risk on page 173 of the 2017 Annual Report and Accounts)
- ¼ Reputational risk (refer to section Reputational risk on page 174 of the 2017 Annual Report and Accounts)
- ¼ Compliance risk (refer to section Compliance risk on page 175 of the 2017 Annual Report and Accounts)
- ¼ Conduct risk (refer to section Conduct risk on page 176 of the 2017 Annual Report and Accounts)
- ¼ Information and cyber security risk (refer to section Information and cyber security risk on page 177 of the 2017 Annual Report and Accounts)
- ¼ Financial crime risk (refer to section Financial crime risk on page 178 of the 2017 Annual Report and Accounts)
Credit risk
Credit risk is the potential for loss due to the failure of a counterparty to meet its obligations to pay the Group. Credit exposures arise from both the banking and trading books.
Credit risk is managed through a framework that sets out policies and procedures covering the measurement and management of credit risk. The Credit Risk Function, as a second line control function, performs independent challenge, monitoring and oversight of the credit risk management practices of the Business and Functions engaged in or supporting revenue generating activities which constitute the First Line of defence. Risk appetite is defi ned by the Group and approved by the Board. It is the maximum amount and type of risk that the Group is willing to assume in pursuit of its strategies. Credit exposure limits are approved within a defi ned credit approval authority framework.
The Group manages its credit exposures following the principle of diversifi cation across products, geographies, client segments and industry sectors.
The Group uses the Advanced Internal Ratings Based (IRB) approach to calculate credit risk capital requirements with the approval of our relevant regulators. This approach builds on the Group's risk management practices and is the result of a continuing investment in data warehouses and risk models.
For portfolios where the Group does not have IRB approval, or where the exposures are permanently exempt from the IRB approach, the Standardised Approach is used.
Refer to Credit risk (pages 165 to 167) in the 2017 Annual Report and Accounts where we describe the main components of credit risk management, including our credit risk profi le, credit risk measurement and policies set in line with risk appetite. For the scope and main content of reporting to senior management, refer to page 166 in the 2017 Annual Report and Accounts.
Market risk
Market risk is the potential for loss of economic value due to adverse changes in fi nancial market rates or prices. The Group's exposure to market risk arises predominantly from these sources:
- ¼ Trading book:
- The Group provides clients access to fi nancial markets, facilitation of which entails the Group taking moderate market risk positions. All trading teams support client activity; there are no proprietary trading teams. Income earned from market risk-related activities is primarily driven by the volume of client activity rather than risk-taking
- ¼ Non-trading book:
- The Treasury Markets (TM) desk is required to hold a liquid assets buffer, much of which is held in high-quality marketable debt securities
- The Group has capital invested and related income streams denominated in currencies other than US dollars. To the extent that these are not hedged, the Group is subject to structural FX risk, the impact of which is refl ected in reserves
The primary categories of market risk for the Group are interest rate risk, currency exchange rate risk, commodity price risk and credit valuation adjustment (CVA) credit spread risk.
We use a value at risk (VaR) model for the measurement of the market risk capital requirements for part of the trading book exposures where permission to use such models has been granted by the PRA. Where our market risk exposures are not approved for inclusion in VaR models, the capital requirements are determined using standard rules set by the regulatory framework.
Operational risk
We defi ne operational risk as the potential for loss resulting from inadequate or failed internal processes, and systems, human error, or from the impact of external events (including legal risk). Operational risk exposures are managed through a set of management processes that drive risk identifi cation, assessment, control and monitoring consistently across the Group. The Group aims to control operational risks to ensure that operational losses (fi nancial or reputational), do not cause material damage to the Group's franchise. The Group applies the Standardised Approach for measuring the capital requirements for operational risk. For risk-weighted assets and capital requirements resultant from operational risk, refer to Table 12 on page 17 and to pages 187 of the 2017 Annual Report and Accounts.
1.5 Enhancements and future developments of Pillar 3
The Basel Committee on Banking Supervision (BCBS), EU and UK authorities release Pillar 3 disclosure standards and guidelines. We refi ne our disclosures to meet the requirements under the regulatory and accounting standards as they evolve.
In January 2015, the BCBS issued the requirements for the fi rst phase of the Committee's review of the Pillar 3 disclosure framework. The focus of the fi rst phase was on disclosure requirements in the areas of credit, market, counterparty credit, equity and securitisation risks. The revised BCBS Pillar 3 framework has been implemented in the EU by Guidelines issued by the European Banking Authority (EBA) that were fi nalised in December 2016 and have come into effect from 31 December 2017.
In March 2017, the BCBS issued the fi nal standard for the second phase of its review of the Pillar 3 disclosure framework. The
standard consolidates existing Basel Committee disclosure requirements into the Pillar 3 framework, covering the composition of capital and TLAC, the leverage ratio, the liquidity ratios, the indicators for determining global systemically important banks, the countercyclical capital buffer, interest rate risk in the banking book and remuneration. The disclosure requirements as set out in the standard are being phased in from year-end 2017. Although the additional disclosure requirements arising from the BCBS standards have yet to be implemented in the EU, our 2017 year-end disclosure document incorporates various templates as summarised below.
The Basel Committee has commenced the third phase of its Pillar 3 review covering disclosure requirements for hypothetical risk-weighted assets calculated based on the standardised approaches, asset encumbrance, operational risk and any amendments resulting from the fi nalisation of the regulatory framework. The Basel Committee has not yet concluded the third phase of the review. Final standards are expected for later in 2018. The Pillar 3 Disclosures 2017 do not refl ect any of the proposed additional requirements arising from the third phase of the review.
The principal changes to our Pillar 3 Disclosures 2017 compared with the prior year are:
- ¼ Full implementation of EBA Guidelines (EBA/GL/2016/11)
- ¼ Early adoption of parts of BCBS Phase 2 Standards (BCBS 400), the key metrics (KM1), Prudential valuation adjustments (PV1), Liquidity risk management (LIQA) and IRRBB risk management objectives and policies (IRRBBA) templates
- ¼ Implementation of EBA Guidelines on LCR disclosures issued in March 2017 (EBA/ GL/2017/01)
1.6 Accounting and regulatory consolidation
The Pillar 3 Disclosures are prepared at the Group consolidated level. The accounting policy for fi nancial consolidation is provided in the notes to the fi nancial statements in the 2017 Annual Report and Accounts. All banking subsidiaries are fully consolidated for both regulatory and accounting purposes. For associates and joint ventures, the regulatory treatment may differ from the accounting policy, which applies the equity accounting method.
The regulatory consolidation approaches used by the Group are shown in the following table, which identifi es the principal undertakings, including investments, associates and joint ventures, which are all principally engaged in the business of banking and provision of other fi nancial services.
The primary difference between fi nancial consolidation and regulatory consolidation is PT Bank Permata Tbk, which is equity accounted for fi nancial and fully consolidated for regulatory purposes. PT Bank Permata Tbk's Annual Report and Accounts in compliance with their local regulations is published on their website https:// www.permatabank.com/en/About/ Investor-Relations/
Table 2: Regulatory consolidation
| Type | Description | Regulatory consolidation | Principal undertakings within each category |
|---|---|---|---|
| Investment (non signifi cant) |
The Group holds no more than 10% of the issued share capital |
The Group risk-weights the investment subject to the CRD IV threshold calculation |
– |
| Associate | The Group holds more than 10% and less than 20% of the issued share capital |
The Group risk-weights the investment subject to the CRD IV threshold calculation |
China Bohai Bank |
| Joint Venture | The Group enters into a contractual | Where the Group's liability to the | PT Bank Permata Tbk |
| arrangement to exercise joint control over an undertaking |
joint venture is greater than the capital held, full consolidation is |
Canas Leasing Limited1 | |
| undertaken. Otherwise joint ventures are proportionately consolidated |
Elviria Leasing Limited1 | ||
| Subsidiary | The Group holds more than 50% of the issued share capital of a fi nancial entity |
The Group fully consolidates the | Standard Chartered Bank |
| undertaking | Standard Chartered Bank Korea Limited | ||
| Standard Chartered Bank Malaysia Berhad | |||
| Standard Chartered Bank (Pakistan) Limited | |||
| Standard Chartered Bank (Taiwan) Limited | |||
| Standard Chartered Bank (Hong Kong) Limited | |||
| Standard Chartered Bank (China) Limited | |||
| Standard Chartered Bank (Singapore) Limited | |||
| Standard Chartered Bank (Thai) Public Company Limited | |||
| Standard Chartered Bank Nigeria Limited | |||
| Standard Chartered Bank Kenya Limited | |||
| Standard Chartered Private Equity Limited, Hong Kong | |||
| Excluded | Insurance or industrial entities | The Group risk-weights the | Standard Chartered Assurance Ltd |
| entities | excluded from the scope of banking prudential consolidation |
investment subject to the CRD IV threshold calculation |
Standard Chartered Insurance Ltd |
1 Aircraft leasing company
Table 3: Outline of the differences in the scopes of consolidation (LI3)
| 2017 | |||||||
|---|---|---|---|---|---|---|---|
| Method of regulatory consolidation | |||||||
| Name of the entity | Description of the entity | Method of accounting consolidation |
Full consolidation |
Proportional consolidation |
Neither consolidated nor deducted |
Deducted | |
| PT Bank Permata Tbk | Joint venture credit institution | Equity accounting | √ | ||||
| Canas Leasing Limited | Leasing joint venture | Equity accounting | √ | ||||
| Elviria Leasing Limited | Leasing joint venture | Equity accounting | √ | ||||
| Standard Chartered Assurance Ltd | Insurance entity | Full consolidation | √ | ||||
| Standard Chartered Insurance Ltd | Insurance entity | Full consolidation | √ |
1.7 Signifi cant subsidiaries
CRR Article 13 requires the application of disclosure requirements to signifi cant subsidiaries of EU parent institutions and subsidiaries which are of material signifi cance to their local market.
Standard Chartered Bank is the main operating subsidiary of the Group. The Group has two other signifi cant subsidiaries,
Standard Chartered Bank (Hong Kong) Limited (regulated by the Hong Kong Monetary Authority) and Standard Chartered Bank Korea Limited (regulated by the Financial Supervisory Service (FSS) in Korea). Standard Chartered Bank Singapore Limited (regulated by the Monetary Authority of Singapore) and Standard Chartered Bank Uganda Limited (regulated by the Bank of Uganda) are subsidiaries that are of material
signifi cance to their local market. Standard Chartered Bank (Hong Kong) Limited and Standard Chartered Bank Korea Limited disclose separate Pillar 3 reports in compliance with their local regulations. Annex 1 provides a summary of the disclosure for the signifi cant subsidiaries.
The chart below represents a simplifi ed regulatory structure of the Group, including the subsidiaries covered by CRR Article 13e.
Simplifi ed structure of the Group
1.8 Comparison of accounting balance sheet and exposure at default
The differences between the fi nancial and prudential consolidated balance sheets arise primarily from differences in the basis of consolidation and the requirement to fully consolidate for prudential purposes PT Bank Permata Tbk, a joint venture credit institution which is equity accounted for fi nancial purposes. The more signifi cant difference
between the two bases is the treatment of capital, which is presented in Table 4 based on the Group regulatory balance sheet and not the fi nancial accounting balance sheet.
The following table splits the regulatory balance sheet measured under IFRS into each regulatory risk category. The regulatory risk category drives the approach applied in the calculation of regulatory exposures and RWAs.
Table 4: Differences between accounting and regulatory scopes of consolidation and the mapping of fi nancial statement categories with regulatory risk categories (LI1)
| 2017 | |||||||
|---|---|---|---|---|---|---|---|
| Carrying values as reported in published fi nancial statements \$million |
Carrying values under the scope of regulatory consolidation \$million |
Subject to credit risk framework \$million |
Subject to counterparty credit risk framework \$million |
Subject to securitisation framework \$million |
Subject to market risk framework \$million |
Not subject to capital requirements or subject to deduction from capital \$million |
|
| Assets | |||||||
| Cash and balances at central banks | 58,864 | 59,651 | 59,651 | – | – | – | – |
| Financial assets held at fair value through profi t or loss | 27,564 | 27,633 | 3,649 | 2,995 | 885 | 20,279 | – |
| Derivative fi nancial instruments | 47,031 | 47,045 | – | 47,045 | – | 47,045 | – |
| Loans and advances to banks | 57,494 | 58,003 | 53,946 | – | – | 19,305 | – |
| Loans and advances to customers | 248,707 | 255,954 | 241,858 | – | 14,979 | 33,707 | – |
| Reverse repurchase agreements and other similar lending |
54,275 | 54,275 | – | 54,274 | – | – | – |
| Investment securities | 117,025 | 118,644 | 113,101 | – | 5,543 | – | – |
| Other assets | 33,490 | 33,874 | 8,516 | 9,513 | – | 15,845 | – |
| Current tax assets | 491 | 491 | 491 | – | – | – | – |
| Prepayments and accrued income | 2,307 | 2,392 | 2,392 | – | – | – | – |
| Interests in associates and joint ventures | 2,307 | 1,524 | 1,524 | – | – | – | – |
| Goodwill and intangible assets | 5,013 | 5,158 | – | – | – | – | 5,158 |
| Property, plant and equipment | 7,211 | 7,268 | 7,268 | – | – | – | – |
| Deferred tax assets | 1,177 | 1,357 | 1,232 | – | – | – | 125 |
| Asset classifi ed as held for sale | 545 | 545 | 545 | – | – | – | – |
| Total assets | 663,501 | 673,814 | 494,173 | 113,827 | 21,407 | 136,181 | 5,283 |
| Liabilities | |||||||
| Deposits by banks | 30,945 | 31,107 | – | – | – | – | 31,107 |
| Customer accounts | 370,509 | 378,914 | – | – | – | – | 378,914 |
| Repurchase agreements and other similar secured borrowing |
39,783 | 39,783 | – | 39,783 | – | – | – |
| Financial liabilities held at fair value through profi t or loss |
16,633 | 16,633 | – | – | – | 3,637 | 12,996 |
| Derivative fi nancial instruments | 48,101 | 48,102 | – | 48,102 | – | 48,102 | – |
| Debt securities in issue | 46,379 | 46,609 | – | – | – | – | 46,609 |
| Other liabilities | 35,257 | 35,573 | 1,063 | 9,825 | – | 13,713 | 20,798 |
| Current tax liabilities | 376 | 372 | – | – | – | – | 372 |
| Accruals and deferred income | 5,493 | 5,569 | – | – | – | – | 5,569 |
| Subordinated liabilities and other borrowed funds | 17,176 | 17,596 | – | – | – | – | 17,595 |
| of which: considered as Additional Tier 1 capital | – | 264 | – | – | – | – | 264 |
| of which: considered as Tier 2 capital | – | 14,280 | – | – | – | – | 14,280 |
| Deferred tax liabilities | 404 | 400 | – | – | – | – | 400 |
| Provisions for liabilities and charges | 183 | 186 | – | – | – | – | 186 |
| Retirement benefi t obligation | 455 | 467 | – | – | – | – | 467 |
| Liabilities included in disposal groups held for sale | – | – | – | – | – | – | – |
| Total liabilities | 611,694 | 621,311 | 1,063 | 97,710 | – | 65,452 | 515,013 |
| Equity | |||||||
| Share capital and share premium account | 7,097 | 7,097 | – | – | – | – | – |
| Other reserves | 12,767 | 12,767 | – | – | – | – | – |
| Retained earnings | 26,641 | 26,541 | – | – | – | – | – |
| Other equity instruments | 4,961 | 4,961 | – | – | – | – | – |
| Non-controlling interest | 341 | 1,137 | – | – | – | – | – |
| Total equity | 51,807 | 52,503 | – | – | – | – | – |
| Total equity and liabilities | 663,501 | 673,814 | 1,063 | 97,710 | – | 65,451 | 515,013 |
Table 4: Differences between accounting and regulatory scopes of consolidation and the mapping of fi nancial statement categories with regulatory risk categories (LI1) continued
| 2016 | |||||||
|---|---|---|---|---|---|---|---|
| Carrying values as reported in published fi nancial statements \$million |
Carrying values under the scope of regulatory consolidation \$million |
Subject to credit risk framework \$million |
Subject to counterparty credit risk framework \$million |
Subject to securitisation framework \$million |
Subject to market risk framework \$million |
Not subject to capital requirements or subject to deduction from capital \$million |
|
| Assets | |||||||
| Cash and balances at central banks | 70,706 | 71,658 | 71,658 | – | – | – | – |
| Financial assets held at fair value through profi t or loss | 20,077 | 20,201 | 3,388 | 1,902 | 172 | 15,062 | – |
| Derivative fi nancial instruments | 65,509 | 65,525 | – | 65,526 | – | 65,164 | – |
| Loans and advances to banks | 54,538 | 55,209 | 51,495 | – | – | 17,885 | – |
| Loans and advances to customers | 226,693 | 234,536 | 213,821 | – | 16,373 | 28,289 | – |
| Reverse repurchase agreements and other similar lending |
44,097 | 44,097 | – | 44,097 | – | – | – |
| Investment securities | 108,972 | 110,945 | 103,678 | 1,447 | 5,820 | – | – |
| Other assets | 36,940 | 37,475 | 20,527 | – | – | 21,430 | 49 |
| Current tax assets | 474 | 474 | 474 | – | – | – | – |
| Prepayments and accrued income | 2,238 | 2,302 | 2,302 | – | – | – | – |
| Interests in associates and joint ventures | 1,929 | 1,216 | 1,216 | – | – | – | – |
| Goodwill and intangible assets | 4,719 | 4,930 | – | – | – | – | 4,930 |
| Property, plant and equipment | 7,252 | 7,329 | 7,329 | – | – | – | – |
| Deferred tax assets | 1,294 | 1,491 | 1,294 | – | – | – | 197 |
| Asset classifi ed as held for sale | 1,254 | 1,254 | 1,254 | – | – | – | – |
| Total assets | 646,692 | 658,642 | 478,436 | 112,972 | 22,365 | 147,830 | 5,176 |
| Liabilities | |||||||
| Deposits by banks | 32,872 | 32,997 | – | – | – | – | 32,997 |
| Customer accounts | 338,185 | 348,056 | – | – | – | – | 348,054 |
| Repurchase agreements and other similar secured borrowing |
37,692 | 37,692 | – | 37,692 | – | – | – |
| Financial liabilities held at fair value through profi t or loss |
16,598 | 16,599 | – | – | – | 3,763 | 12,836 |
| Derivative fi nancial instruments | 65,712 | 65,715 | – | 65,715 | – | 65,259 | – |
| Debt securities in issue | 46,700 | 46,974 | – | – | – | – | 46,974 |
| Other liabilities | 33,146 | 33,569 | 713 | – | – | 12,162 | 20,694 |
| Current tax liabilities | 327 | 329 | – | – | – | – | 329 |
| Accruals and deferred income | 5,223 | 5,329 | – | – | – | – | 5,329 |
| Subordinated liabilities and other borrowed funds | 19,523 | 19,945 | – | – | – | – | 19,945 |
| of which: considered as Additional Tier 1 capital | – | 241 | – | – | – | – | 241 |
| of which: considered as Tier 2 capital | – | 15,774 | – | – | – | – | 15,774 |
| Deferred tax liabilities | 353 | 354 | – | – | – | – | 354 |
| Provisions for liabilities and charges | 213 | 220 | – | – | – | – | 220 |
| Retirement benefi t obligation | 525 | 521 | – | – | – | – | 521 |
| Liabilities included in disposal groups held for sale | 965 | 965 | – | – | – | 965 | – |
| Total liabilities | 598,034 | 609,265 | 713 | 103,407 | – | 82,149 | 488,253 |
| Equity | |||||||
| Share capital and share premium account | 7,091 | 7,091 | – | – | – | – | – |
| Other reserves | 11,524 | 11,524 | – | – | – | – | – |
| Retained earnings | 25,753 | 25,753 | – | – | – | – | – |
| Other equity instruments | 3,969 | 3,969 | – | – | – | – | – |
| Non-controlling interest | 321 | 1,040 | – | – | – | – | – |
| Total equity | 48,658 | 49,377 | – | – | – | – | – |
| Total equity and liabilities | 646,692 | 658,642 | 713 | 103,407 | – | 82,149 | 488,253 |
The table below shows the effect of regulatory adjustments required to derive the Group's exposure at default (EAD) for the purposes of calculating its credit risk capital requirements. The differences between the carrying values under regulatory scope of consolidation and amounts considered for regulatory purposes shown in Table 5 are mainly due to derivatives netting benefi ts,
provisions, collateral and off-balance sheet exposures. The total EAD for credit and counterparty credit risk is further split by geography, industry and maturity in Tables 32 to 34; standardised credit risk before and after the effect of CRM is presented in Table 57; standardised credit and counterparty credit risk by risk weight is presented in Tables 58 to 59 and IRB credit and
counterparty credit risk before and after the effect of Credit Risk Mitigation (CRM) is presented in Table 44. Information on the standardised and IRB counterparty credit risk exposures can be found in section 3.9. Further detail on the EAD under the securitisation framework can be found in Table 72.
Table 5: Main sources of differences between regulatory exposure amounts and carrying values in fi nancial statements (LI2)
| 2017 | |||
|---|---|---|---|
| Subject to Credit risk framework \$million |
Subject to CCR framework \$million |
Subject to Securitisation framework \$million |
|
| Total assets amount under regulatory scope of consolidation1 | 494,172 | 113,827 | 21,407 |
| Derivatives netting benefi t2 | – | (29,830) | – |
| Differences due to consideration of provisions | 5,100 | – | – |
| Differences due to consideration of collateral | – | – | – |
| Differences due to capital deductions | – | – | – |
| Differences due to off-balance sheet amounts recognised in regulatory exposures | 81,636 | 94,153 | 985 |
| Differences due to the impact of the use of own-models in exposures | – | – | – |
| Other | 337 | 327 | 41 |
| Regulatory exposure at default pre credit risk mitigation | 581,245 | 178,477 | 22,433 |
| 2016 | ||||
|---|---|---|---|---|
| Subject to Credit risk framework \$million |
Subject to CCR framework \$million |
Subject to Securitisation framework \$million |
||
| Total assets amount under regulatory scope of consolidation1 | 478,436 | 112,972 | 22,365 | |
| Derivatives netting benefi t2 | – | (38,737) | – | |
| Differences due to consideration of provisions | 5,800 | – | – | |
| Differences due to consideration of collateral | – | (25,979) | – | |
| Differences due to capital deductions | – | – | – | |
| Differences due to off-balance sheet amounts recognised in regulatory exposures | 78,433 | 100,065 | 1,084 | |
| Differences due to the impact of the use of own-models in exposures | – | – | – | |
| Other | 107 | 458 | 52 | |
| Regulatory exposure at default pre credit risk mitigation | 562,776 | 148,780 | 23,501 |
1 Regulatory balance sheet primarily includes full consolidation of PT Bank Permata Tbk a joint venture (JV)
2 Refl ects the effect of master netting agreements in addition to the netting permitted under International Accounting Standard (IAS) 32
The CRR provisions on prudential valuation require banks to quantify several valuation uncertainties pertaining to the valuation of assets and liabilities recorded at fair value for accounting purposes. The amounts by which the resulting Prudent Valuation Adjustments
exceed any associated Fair Value Adjustments are referred to as the Additional Valuation Adjustments (AVAs) and their aggregate is deducted from CET1 capital. AVAs arise from uncertainties related to market prices, close-out costs, model risk,
unearned credit spreads, investing and funding costs, concentrated positions, future administrative costs, early terminations and operational risks.
Table 6: Prudent valuation adjustment (PVA) (PV1)
| 2017 | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| Equity \$million |
Interest rates \$million |
FX \$million |
Credit \$million |
Commodities \$million |
Total \$million |
Of which: In the trading book \$million |
Of which: In the banking book \$million |
||
| Closeout uncertainty | 173 | 127 | 43 | 44 | 9 | 374 | 122 | 252 | |
| Of which Mid-market value | 85 | 96 | 11 | 42 | 4 | 239 | 81 | 157 | |
| Of which Closeout cost | – | 32 | 8 | 1 | 3 | 45 | 38 | 7 | |
| Of which Concentration | 87 | – | 1 | – | 1 | 90 | 3 | 87 | |
| Early termination | – | – | – | – | – | – | – | – | |
| Model risk | – | – | – | – | – | – | – | – | |
| Operational risk | 10 | 16 | 2 | 7 | 1 | 36 | 15 | 21 | |
| Investing and funding costs | – | – | – | – | – | 15 | 15 | – | |
| Unearned credit spreads | – | – | – | – | – | 129 | 129 | – | |
| Future administrative costs | – | 6 | 9 | 3 | 3 | 21 | 8 | 13 | |
| Other | – | – | – | – | – | – | – | – | |
| Total adjustment | 183 | 149 | 32 | 54 | 13 | 574 | 288 | 286 |
2. Capital
2.1 Capital management
The Group's capital and leverage positions are managed within the Board-approved risk appetite. The Group is well capitalised with low leverage and high levels of loss-absorbing capacity.
The Risk management approach section of the 2017 Annual Report and Accounts sets out our approach to capital management (pages 171 to 172).
2.2 Capital resources
All capital instruments included in the capital base meet the requirements set out in the CRR for their respective tier of capital, except for those that are subject to a grandfathering period. Grandfathered capital instruments will be fully phased out of their respective tier of capital by 1 January 2022.
Table 7 below summarises the consolidated capital position of the Group.
Table 7: Reconciliation between fi nancial total equity and regulatory CET1 before regulatory adjustments
| 2017 \$million |
2016 \$million |
|
|---|---|---|
| Total equity per balance sheet (fi nancial view) | 51,807 | 48,658 |
| Regulatory adjustments | 696 | 719 |
| Total equity per balance sheet (regulatory view) | 52,503 | 49,377 |
| Foreseeable dividend net of scrip | (399) | (212) |
| Other equity instruments (included in AT1) | (6,455) | (5,463) |
| Non-controlling interests | (286) | (231) |
| Common Equity Tier 1 capital before regulatory adjustments | 45,363 | 43,471 |
2.2 Capital resources continued
Table 8: Capital base
| 2017 Transitional position \$million |
2017 End point adjustment \$million |
2017 End point position \$million |
2016 Transitional position \$million |
|
|---|---|---|---|---|
| Common Equity Tier 1 (CET1) capital: instruments and reserves | ||||
| Capital instruments and the related share premium accounts | 5,603 | – | 5,603 | 5,597 |
| Of which: Share premium accounts | 3,957 | – | 3,957 | 3,957 |
| Retained earnings | 25,316 | – | 25,316 | 26,000 |
| Accumulated other comprehensive income (and other reserves) | 12,766 | – | 12,766 | 11,524 |
| Non-controlling interests (amount allowed in consolidated CET1) | 850 | – | 850 | 809 |
| Independently reviewed interim and year-end profi ts/(loss)1 | 1,227 | – | 1,227 | (247) |
| Foreseeable dividends net of scrip2 | (399) | – | (399) | (212) |
| Common Equity Tier 1 capital before regulatory adjustments3 | 45,363 | – | 45,363 | 43,471 |
| Common Equity Tier 1 capital: regulatory adjustments | ||||
| Additional value adjustments | (574) | – | (574) | (660) |
| Intangible assets | (5,112) | – | (5,112) | (4,856) |
| Deferred tax assets that rely on future profi tability | (125) | – | (125) | (197) |
| Fair value reserves related to gains or losses on cash fl ow hedges | 45 | – | 45 | 85 |
| Negative amounts resulting from the calculation of expected loss amounts | (1,142) | – | (1,142) | (740) |
| Gains or losses on liabilities at fair value resulting from changes in own credit | (53) | – | (53) | (289) |
| Defi ned-benefi t pension fund assets | (40) | – | (40) | (18) |
| Fair value gains and losses from own credit risk related to derivative liabilities | (59) | – | (59) | (20) |
| Exposure amounts which could qualify for risk weight of 1250% | (141) | – | (141) | (168) |
| Of which: securitisation positions | (125) | – | (125) | (134) |
| Of which: free deliveries | (16) | – | (16) | (34) |
| Total regulatory adjustments to Common Equity Tier 1 capital | (7,201) | – | (7,201) | (6,863) |
| Common Equity Tier 1 capital | 38,162 | – | 38,162 | 36,608 |
| Additional Tier 1 (AT1) capital: instruments | ||||
| Capital Instruments and the related share premium accounts | 6,719 | (1,758) | 4,961 | 5,704 |
| Of which: classifi ed as equity under applicable accounting standards | 6,455 | (1,494) | 4,961 | 5,463 |
| Of which: classifi ed as liabilities under applicable accounting standards | 264 | (264) | – | 241 |
| Additional Tier 1 (AT1) capital before regulatory adjustments | 6,719 | (1,758) | 4,961 | 5,704 |
| Additional Tier 1 capital: regulatory adjustments | ||||
| Direct and indirect holdings by an institution of own Additional Tier 1 (AT1) instruments and subordinated loans |
(20) | – | (20) | (20) |
| Total regulatory adjustments to Additional Tier 1 capital | (20) | – | (20) | (20) |
| Additional Tier 1 capital | 6,699 | (1,758) | 4,941 | 5,684 |
| Tier 1 capital (T1 = CET1 + AT1) | 44,861 | (1,758) | 43,103 | 42,292 |
| Tier 2 (T2) capital: instruments and provisions | ||||
| Capital instruments and the related share premium accounts | 12,668 | – | 12,668 | 13,587 |
| Qualifying items and the related share premium accounts subject to phase out from T2 |
647 | (647) | – | 471 |
| Qualifying own funds instruments included in consolidated T2 issued by subsidiaries and held by third parties |
612 | (91) | 521 | 1,118 |
| Tier 2 capital before regulatory adjustments | 13,927 | (738) | 13,189 | 15,176 |
| Tier 2 capital: regulatory adjustments | ||||
| Direct and indirect holdings by an institution of own Tier 2 instruments and subordinated loans |
(30) | – | (30) | (30) |
| Total regulatory adjustments to Tier 2 capital | (30) | – | (30) | (30) |
| Tier 2 capital | 13,897 | (738) | 13,159 | 15,146 |
| Total capital (TC = T1 + T2) | 58,758 | (2,496) | 56,262 | 57,438 |
| Total risk-weighted assets4 | 279,748 | – | 279,748 | 269,445 |
2.2 Capital resources continued
Table 9: Capital ratios and buffers
| 2017 Transitional position \$million |
2017 End point adjustment \$million |
2017 End point position \$million |
2016 Transitional position \$million |
|
|---|---|---|---|---|
| Amounts below the thresholds for deduction (before risk weighting) | ||||
| Direct and indirect holdings of the capital of fi nancial sector entities where the institution does not have a signifi cant investment in those entities (amount below 10% threshold and net of eligible short positions) |
641 | – | 641 | 954 |
| Direct and indirect holdings by the institution of the CET1 instruments of fi nancial sector entities where the institution has a signifi cant investment in those entities (amount below 10% threshold and net of eligible short positions) |
1,818 | – | 1,818 | 1,347 |
| Deferred tax assets arising from temporary differences (amount below 10% threshold, net of related tax liability where the conditions in Article 38 (3) are met) |
1,105 | – | 1,105 | 1,173 |
| Risk-weighted assets | ||||
| Credit risk | 225,727 | – | 225,727 | 211,585 |
| Credit valuation adjustment risk | 503 | – | 503 | 2,290 |
| Operational risk | 30,478 | – | 30,478 | 33,693 |
| Market risk | 23,040 | – | 23,040 | 21,877 |
| Total risk-weighted assets4 | 279,748 | – | 279,748 | 269,445 |
| Capital ratios | ||||
| Common Equity Tier 1 capital | 13.6% | 0.0% | 13.6% | 13.6% |
| Tier 1 capital | 16.0% | (0.6)% | 15.4% | 15.7% |
| Total capital | 21.0% | (0.9)% | 20.1% | 21.3% |
| Capital buffers | ||||
| Institution specifi c buffer requirement (CET1 requirement in accordance with article 92 (1) (a) plus capital conservation and countercyclical buffer requirement, plus systematic risk buffer, plus systemically important intuition buffer expressed as a percentage of risk exposure amount) |
8.1% | 1.9% | 10.0% | 7.1% |
| Of which: capital conservation buffer requirement | 1.25% | 1.25% | 2.5% | 0.6% |
| Of which: countercyclical buffer requirement | 0.17% | 0.13% | 0.3% | 0.1% |
| Of which: systemic risk buffer requirement | 0.0% | 0.0% | 0.0% | 0.0% |
| Of which: Global systematically important institution (G-SII) or Other Systematically important institution (O-SII) buffer |
0.5% | 0.5% | 1.0% | 0.3% |
| Common Equity Tier 1 available to meet buffers (as percentage of risk exposure amount) |
7.4% | (0.3)% | 7.1% | 7.5% |
1 Independently reviewed year-end profi ts are in accordance with regulatory consolidation rules
- 2 Foreseeable dividends as at 2017 year-end represent ordinary dividends and preference dividends
- 3 CET1 capital before regulatory adjustments is prepared on the regulatory scope of consolidation
- 4 The risk-weighted assets are not covered by the scope of the Audit
The transitional position of institution specifi c buffer requirement increased by approximately 100bps due to the impact of transitional rules on G-SII (0.25 per cent), Countercyclical capital buffer (0.1 per cent) and Capital conservation buffer (0.63 per cent).
For regulatory purposes, capital is categorised into two tiers, depending on the degree of permanence and loss absorbency exhibited. These are Tier 1 and Tier 2 capital which are described below.
Tier 1 capital
¼ Tier 1 capital is going concern capital and is available for use to cover risks and losses whilst enabling the organisation to continue trading
- ¼ Tier 1 capital comprises permanent share capital, profi t and loss account and other eligible reserves, equity non-controlling interests and Additional Tier 1 instruments, after the deduction of certain regulatory adjustments
- ¼ Permanent share capital is an item of capital issued by an organisation to an investor, which is fully paid-up and where the proceeds of issue are immediately and fully available. It can only be redeemed on the winding-up of the organisation. Profi t and loss account and other eligible reserves are accumulated resources included in shareholders' funds in an organisation's balance sheet, with certain regulatory adjustments applied
- ¼ Equity non-controlling interests represent the equity stakes held by non-controlling shareholders in the Group's undertakings
- ¼ Additional Tier 1 securities are deeply subordinated instruments which have loss-absorbing qualities such as discretionary coupons, principal writedown or conversion to equity and can therefore be included as Tier 1 capital
2.2 Capital resources continued
Tier 2 capital
Tier 2 capital is gone concern capital to help ensure senior creditors and depositors can be repaid if the organisation fails. Tier 2 capital consists of capital instruments which are normally of medium to long-term maturity with an original maturity of at least fi ve years. For regulatory purposes, it is a requirement that these instruments be amortised on a straight-line basis in their fi nal fi ve years of maturity.
Details of the Group's capital instruments (both Tier 1 and 2 capital) are set out in the Standard Chartered PLC Main Features of
Capital Instruments document available on the Group's website at investors.sc.com/ capitalandsecurities
2.3 Countercyclical capital buffer
The Group's countercyclical capital buffer (CCyB) requirement is determined by applying various country-specifi c CCyB rates to the Group's qualifying credit exposures in the relevant country (based on the jurisdiction of the obligor) on a weighted average basis.
As at 31 December 2017, the Group's CCyB requirement was 0.2 per cent. The majority of this CCyB requirement related to exposures to Hong Kong counterparties, with exposures to other jurisdictions being an immaterial part of the Group's CCyB.
Table 10 represents the disclosure requirement of the Commission delegated regulation (EU) 2015/1555 for own funds, which requires disclosure for countries to which we have exposure. Information is also required for countries where no countercyclical capital buffer rate has yet been implemented.
Countries are included in the table if the relevant own funds requirements of that country are greater than 1 per cent of the Group's total relevant own funds requirements for CCyB calculation.
Table 10: Geographical distribution of credit exposures relevant for the calculation of the countercyclical capital buffer
| 2017 | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Breakdown by country | Bangla desh \$million |
China \$million |
Czech Republic \$million |
Hong Kong \$million |
Iceland \$million |
India \$million |
Indo nesia \$million |
Korea \$million |
Malaysia \$million |
Nether lands \$million |
Nigeria \$million |
|
| General credit | Exposure value for SA | 1,341 | 6,328 | – | 5,038 | – | 5,931 | 8,613 | 1,425 | 901 | 2 | 622 |
| exposures | Exposure value for IRB | 3,003 | 13,038 | 10 | 62,985 | – | 20,086 | 3,903 | 41,790 | 9,468 | 3,406 | 3,058 |
| Trading book exposures |
Sum of long and short positions of trading book exposures for SA |
77 | 3,174 | – | 275 | – | 1,344 | 243 | 403 | 487 | 22 | 727 |
| Value of trading book exposures for internal models |
– | – | – | – | – | – | – | – | – | – | – | |
| Securitisation | Exposure value for SA | – | – | – | – | – | – | – | – | – | – | – |
| exposures | Exposure value for IRB | – | – | – | – | – | – | – | – | – | – | – |
| Own funds | General credit exposures | 243 | 1,110 | – | 1,870 | – | 1,478 | 871 | 979 | 488 | 172 | 201 |
| requirements | Trading book exposures | 6 | 80 | – | 16 | – | 56 | 20 | 14 | 16 | 2 | 82 |
| Securitisation exposures | – | – | – | – | – | – | – | – | – | – | – | |
| Total | 249 | 1,190 | – | 1,886 | – | 1,534 | 891 | 993 | 504 | 174 | 283 | |
| Own funds requirements weights | 1.7% | 8.2% | 0.0% | 12.9% | 0.0% | 10.5% | 6.1% | 6.8% | 3.5% | 1.2% | 1.9% | |
| CCyB rate as at 31 Dec 2017 | 0.0% | 0.0% | 0.5% | 1.25% | 1.25% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | |
| CCyB rate as at 1 Jan 2018 | 0.0% | 0.0% | 0.5% 1.875% | 1.25% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% |
2.3 Countercyclical capital buffer continued
Table 10: Geographical distribution of credit exposures relevant for the calculation of the countercyclical capital buffer continued
| 2017 | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Breakdown by country | Norway \$million |
Pakistan \$million |
Singapore \$million |
Slovakia \$million |
Sweden \$million |
Taiwan \$million |
United Arab Emirates \$million |
United Kingdom \$million |
United States \$million |
Vietnam \$million |
Other countries \$million |
|
| General credit | Exposure value for SA | 1 | 704 | 5,684 | – | 1 | 1,962 | 3,404 | 1,949 | 364 | 757 | 8,761 |
| exposures | Exposure value for IRB | 219 | 2,108 | 36,753 | 4 | 442 | 7,799 | 13,759 | 24,179 | 17,813 | 1,334 | 67,030 |
| Trading book exposures |
Sum of long and short positions of trading book exposures for SA |
– | 7 | 296 | – | 5 | 302 | 186 | 585 | 280 | 43 | 2,851 |
| Value of trading book exposures for internal models |
– | – | – | – | – | – | – | – | – | – | – | |
| Securitisation exposures |
Exposure value for SA | – | – | – | – | – | – | – | – | – | – | – |
| Exposure value for IRB | – | – | – | – | – | – | – | 20,699 | – | – | – | |
| Own funds requirements |
General credit exposures |
6 | 167 | 1,290 | – | 19 | 241 | 844 | 548 | 479 | 147 | 2,625 |
| Trading book exposures |
– | 8 | 17 | – | – | 3 | 15 | 39 | 4 | 4 | 200 | |
| Securitisation exposures |
– | – | – | – | – | – | – | 215 | – | – | – | |
| Total | 6 | 175 | 1,307 | – | 19 | 244 | 859 | 802 | 483 | 151 | 2,825 | |
| Own funds requirements weights | 0.0% | 1.2% | 9.0% | 0.0% | 0.1% | 1.7% | 5.9% | 5.5% | 3.3% | 1% | 19.4% | |
| CCyB rate as at 31 Dec 2017 | 2% | 0.0% | 0.0% | 0.5% | 2% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | |
| CCyB rate as at 1 Jan 2018 | 2% | 0.0% | 0.0% | 0.5% | 2% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| India Indonesia \$million \$million 4,476 8,915 |
|---|
| 18,744 3,954 |
| 1,414 264 |
| – – |
| – – |
| – – |
| 1,347 963 |
| 43 23 |
| – – |
| 1,390 986 |
| 10.1% 7.1% |
| 0.0% 0.0% |
| 0.0% 0.0% |
2.3 Countercyclical capital buffer continued
Table 10: Geographical distribution of credit exposures relevant for the calculation of the countercyclical capital buffer continued
| 2016 | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Breakdown by country | Singapore \$million |
China \$million |
Korea \$million |
United Arab Emirates \$million |
United States \$million |
Malaysia \$million |
Pakistan \$million |
Bangla desh \$million |
Nigeria \$million |
Other countries \$million |
|
| General credit | Exposure value for SA | 4,788 | 5,978 | 1,307 | 3,267 | 773 | 822 | 609 | 1,076 | 542 | 12,196 |
| exposures | Exposure value for IRB | 32,965 | 10,425 | 35,031 | 13,337 | 20,107 | 8,662 | 1,803 | 2,702 | 2,852 | 68,878 |
| Trading book exposures |
Sum of long and short positions of trading book exposures for SA |
324 | 1,216 | 1,148 | 133 | 948 | 1,060 | 9 | 73 | 515 | 1,983 |
| Value of trading book exposures for internal models |
– | – | – | – | – | – | – | – | – | – | |
| Securitisation | Exposure value for SA | – | – | – | – | – | – | – | – | – | – |
| exposures | Exposure value for IRB | – | – | – | – | – | – | – | – | – | – |
| Own funds | General credit exposures | 1,197 | 916 | 908 | 826 | 414 | 478 | 136 | 227 | 200 | 3,360 |
| requirements | Trading book exposures | 6 | 38 | 3 | 4 | – | 11 | 2 | 7 | 45 | 101 |
| Securitisation exposures | – | – | – | – | – | – | – | – | – | – | |
| Total | 1,203 | 954 | 911 | 830 | 414 | 489 | 138 | 234 | 245 | 3,461 | |
| Own funds requirements weights | 8.7% | 6.9% | 6.6% | 6.0% | 3.0% | 3.5% | 1.0% | 1.7% | 1.8% | 25.0% | |
| CCyB rate as at 31 Dec 2016 | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | ||
| CCyB rate as at 1 Jan 2017 | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% |
Table 11: Amount of institution specifi c countercyclical capital buffer
| 2017 \$million |
2016 \$million |
|
|---|---|---|
| Total risk exposure amount (see Table 12: Overview of RWA (OV1) | 279,748 | 269,445 |
| Institution specifi c countercyclical capital buffer rate | 0.17% | 0.1% |
| Institution specifi c countercyclical capital buffer requirement | 462 | 202 |
2.4 Capital requirements
Based on the Group's understanding of the rules, its current expected CET1 requirement for 2019 is 10.0 per cent, comprising:
- ¼ A minimum Pillar 1 CET1 requirement of 4.5 per cent
- ¼ A Pillar 2A CET1 requirement of around 1.7 per cent (subject to ongoing PRA assessment) being 56 per cent of the total Pillar 2A requirement
- ¼ A capital conservation buffer of 2.5 per cent by 1 January 2019
- ¼ A G-SII buffer of 1.0 per cent by 1 January 2019
- ¼ A countercyclical capital buffer of around 0.3 per cent, effective from 2018
Any further countercyclical capital buffer applied to the Group would increase the Group's CET1 requirement.
The Combined Buffer comprises the Group's capital conservation buffer, G-SII buffer and the countercyclical capital buffer.
Pillar 1 and Pillar 2A CET1 requirements and the Combined Buffer requirement together represent the Group's Maximum Distributable Amount threshold. The Group will be subject to restrictions on discretionary distributions if the CET1 ratio goes below this threshold. The Group expects to continue to operate with a prudent management buffer above this threshold.
Over time, the Group may also be subject to a PRA buffer. The PRA buffer is intended to ensure the Group remains well capitalised during periods of stress. When setting the Group's PRA buffer, it is understood that the PRA considers results from the Bank of England (BoE) stress test, the biennial exploratory scenario, bank-specifi c scenarios undertaken as part of Internal
Capital Adequacy Assessment Processes (ICAAPs) as well as other relevant information. The PRA buffer is additional to the existing CRD IV buffer requirements, and is applied if and to the extent that the PRA considers the existing CRD IV buffers do not adequately address the Group risk profi le. The PRA buffer is not disclosed.
The table below presents the Group's RWA and capital requirements (calculated as 8 per cent of RWA).
Further information on credit RWAs can be found in Table 44 for credit risk exposures under IRB (which include counterparty credit risk); Table 14 for the RWA fl ow statements for credit risk exposures under IRB (which includes securitisation balances below); Table 57 for exposures under the standardised approach (which include amounts below the threshold for deduction) and section 3.9 for exposures subject to counterparty credit risk.
2.4 Capital requirements continued
Table 12: Overview of RWA (OV1)
| 31.12.17 | 30.09.17 | 31.12.16 | ||||
|---|---|---|---|---|---|---|
| Risk weighted assets \$million |
Regulatory capital requirement1 \$million |
Risk weighted assets \$million |
Regulatory capital requirement1 \$million |
Risk weighted assets \$million |
Regulatory capital requirement1 \$million |
|
| Credit risk (excluding counterparty credit risk)2 | 200,702 | 16,056 | 196,570 | 15,726 | 187,275 | 14,983 |
| Of which advanced IRB approach (Table 44) | 156,602 | 12,528 | 152,359 | 12,189 | 144,317 | 11,546 |
| Of which standardised approach (Table 57) | 44,100 | 3,528 | 44,211 | 3,537 | 42,958 | 3,437 |
| Counterparty credit risk3 | 15,517 | 1,241 | 14,088 | 1,127 | 17,353 | 1,388 |
| Of which mark to market method | 11,952 | 956 | 11,136 | 891 | 12,800 | 1,024 |
| Of which risk exposure amount for contributions to the default fund of a CCP |
81 | 6 | 192 | 15 | 338 | 27 |
| Of which CVA (Table 64) | 503 | 40 | 535 | 43 | 2,290 | 183 |
| Settlement risk | 18 | 1 | 1 | – | 15 | 1 |
| Securitisation exposures in the banking book | 2,687 | 215 | 2,994 | 240 | 2,933 | 235 |
| Of which IRB ratings-based approach | 2,205 | 176 | 2,482 | 199 | 2,406 | 193 |
| Of which IRB supervisory formula approach | 482 | 39 | 512 | 41 | 527 | 42 |
| Of which standardised approach | – | – | – | – | – | – |
| Market risk (Table 78) | 23,040 | 1,843 | 22,964 | 1,837 | 21,877 | 1,750 |
| Of which internal model approaches | 12,776 | 1,022 | 11,575 | 926 | 13,147 | 1,052 |
| Of which standardised approach | 10,264 | 821 | 11,389 | 911 | 8,730 | 698 |
| Large exposures | – | – | – | – | – | – |
| Operational risk | 30,478 | 2,438 | 30,478 | 2,438 | 33,693 | 2,695 |
| Of which standardised approach | 30,478 | 2,438 | 30,478 | 2,438 | 33,693 | 2,695 |
| Amounts below the thresholds for deduction (subject to 250% risk weight) |
7,306 | 584 | 7,068 | 565 | 6,299 | 504 |
| Floor Adjustment | – | – | – | – | – | – |
| Total | 279,748 | 22,380 | 274,163 | 21,933 | 269,445 | 21,556 |
1 The regulatory capital requirement is calculated as 8 per cent of the risk-weighted assets, and represents the minimum total capital ratio in accordance with CRR Article 92 (1)
2 Credit risk (excluding counterparty credit risk) includes non-credit obligation assets
3 Counterparty credit risk includes assets which are assessed under IRB and Standardised approaches
4 To calculate operational risk standardised risk-weighted assets, a regulatory defi ned beta co-effi cient is applied to average gross income for the previous three years, across each of the eight business lines prescribed in the CRR
RWA increased by \$10.3 billion from 31 December 2016 to \$279.7 billion. This was due to a \$12.4 billion increase in credit risk including counterparty credit risk RWA and a \$1.2 billion increase in market risk partly offset by a \$3.2 billion decrease in operational risk RWA.
- ¼ Credit risk including counterparty credit risk increases were driven by a \$7.6 billion increase due to PRA approved IRB model changes in fi nancial institutions relating to LGD fl oors and \$5.1 billion increase from foreign currency translation
- ¼ Market risk RWA increased \$1.2 billion with increases in debt security holdings being offset by lower market volatility and methodology and policy changes
- ¼ Operational risk RWA reduced by \$3.2 billion due to a decrease in the average income over a rolling three-year time horizon, as lower 2016 income replaced higher 2013 income
2.4 Capital requirements continued
Table 13 shows the signifi cant drivers of credit risk, market risk and operational risk RWA movements from 1 January 2017.
Table 13: Movement analysis for RWA
| Credit risk IRB \$million |
Credit risk SA \$million |
Credit risk Total \$million |
Counterparty Credit risk \$million |
Total Credit & Counterparty Credit risk \$million |
Operational risk \$million |
Market risk \$million |
Total \$million |
|
|---|---|---|---|---|---|---|---|---|
| As at 1 January 2017 | 147,250 | 49,272 | 196,522 | 17,353 | 213,875 | 33,693 | 21,877 | 269,445 |
| Asset size | 2,448 | 2,208 | 4,656 | (1,641) | 3,015 | – | – | 3,015 |
| Asset quality | 237 | – | 237 | 8 | 245 | – | – | 245 |
| Model updates | 5,632 | – | 5,632 | 1,613 | 7,245 | – | – | 7,245 |
| Methodology and policy | (185) | – | (185) | (21) | (206) | – | (2,178) | (2,384) |
| Acquisitions and disposals | – | – | – | – | – | – | – | – |
| Foreign exchange movements | 2,651 | 647 | 3,298 | 295 | 3,593 | – | – | 3,593 |
| Other, including non-credit risk movements1 |
– | – | – | (1,898) | (1,898) | (3,215) | 3,943 | (1,170) |
| As at 30 September 2017 | 158,033 | 52,127 | 210,160 | 15,709 | 225,869 | 30,478 | 23,642 | 279,989 |
| Asset size | (2,527) | 52 | (2,475) | (306) | (2,781) | – | – | (2,781) |
| Asset quality | 2,997 | – | 2,997 | 411 | 3,408 | – | – | 3,408 |
| Model updates | (44) | – | (44) | – | (44) | – | – | (44) |
| Methodology and policy | – | (576) | (576) | – | (576) | – | – | (576) |
| Acquisitions and disposals | (392) | (318) | (710) | – | (710) | – | – | (710) |
| Foreign exchange movements | 1,222 | 139 | 1,361 | 100 | 1,461 | – | – | 1,461 |
| Other, including non-credit risk movements1 |
– | – | – | (397) | (397) | – | (602) | (999) |
| As at 31 December 2017 | 159,289 | 51,424 | 210,713 | 15,517 | 226,230 | 30,478 | 23,040 | 279,748 |
1 RWA effi ciencies are disclosed against 'Other, including non-credit risk movements'
2 See Table 12: Overview of RWA (OV1). To note that 'Securitisation', 'Settlement risk' and 'Amounts below the threshold for deduction (subject to 250% risk-weight)' are included in credit risk
Table 14 below shows the signifi cant drivers of credit risk, IRB RWA movements (excluding counterparty credit risk and standardised credit risk) from 1 January 2017.
Table 14: RWA fl ow statements of credit risk exposures under IRB (CR8)
| Risk-weighted assets1 \$million |
Regulatory capital requirement1 \$million |
|
|---|---|---|
| As at 1 January 2017 | 147,250 | 11,780 |
| Asset size | 2,448 | 196 |
| Asset quality | 237 | 19 |
| Model updates | 5,632 | 451 |
| Methodology and policy | (185) | (15) |
| Foreign exchange movements | 2,651 | 212 |
| As at 30 September 2017 | 158,033 | 12,643 |
| Asset size | (2,527) | (202) |
| Asset quality | 2,997 | 240 |
| Model updates | (44) | (4) |
| Methodology and policy | – | – |
| Disposals | (392) | (32) |
| Foreign exchange movements | 1,222 | 98 |
| As at 31 December 2017 | 159,289 | 12,743 |
1 Includes securitisation and non-credit obligation assets, but excludes counterparty credit risk
2 See Table 12: Overview of RWA (OV1). Comprises advanced IRB credit risk \$156,602 million and securitisation of \$2,687 million
IRB credit RWAs increased \$12 billion year-on-year driven by
¼ \$5.6 billion increase includes \$6 billion due to model updates as a result of PRA approved IRB model changes in fi nancial institutions relating to LGD fl oors
¼ \$3.9 billion increase from foreign currency translation
2.4 Capital requirements continued
Table 15 below shows the RWA fl ow statements of market risk RWA exposures under the internal model approach (IMA) from 1 January 2017.
Table 15: RWA fl ow of market risk exposures under an IMA approach (MR2-B)
| VaR \$million |
SVaR \$million |
IRC \$million |
CRM \$million |
Other1 \$million |
Total RWA \$million |
Total capital requirement \$million |
|
|---|---|---|---|---|---|---|---|
| At 1 January 2017 | 3,161 | 7,931 | – | – | 2,055 | 13,147 | 1,052 |
| Regulatory adjustment | – | – | – | – | – | – | – |
| RWAs post adjustment at 1 January 2017 | 3,161 | 7,931 | – | – | 2,055 | 13,147 | 1,052 |
| Movement in risk levels | (954) | 90 | – | – | 758 | (106) | (9) |
| Model updates/changes | – | – | – | – | – | – | – |
| Methodology and policy | – | – | – | – | – | – | – |
| At 30 June 2017 | – | – | – | – | – | – | – |
| Regulatory adjustment | – | – | – | – | – | – | – |
| At 30 September 2017 | (954) | 90 | – | – | 758 | (106) | (9) |
| Regulatory adjustment | – | – | – | – | – | – | – |
| RWAs post adjustment at 30 September 2017 | 2,207 | 8,021 | – | – | 2,813 | 13,041 | 1,043 |
| Movement in risk levels | (229) | 62 | – | – | (98) | (265) | (21) |
| Model updates/changes | – | – | – | – | – | – | – |
| Methodology and policy | – | – | – | – | – | – | – |
| Acquisitions and disposals | – | – | – | – | – | – | – |
| Foreign exchange movements | – | – | – | – | – | – | – |
| Other | – | – | – | – | – | – | – |
| At 31 December 2017 | 1,978 | 8,083 | – | – | 2,715 | 12,776 | 1,022 |
| Regulatory adjustment | – | – | – | – | – | – | – |
| RWAs post adjustment at 31 December 2017 | 1,978 | 8,083 | – | – | 2,715 | 12,776 | 1,022 |
1 Other IMA capital add-ons for market risks not fully captured in either VaR or SVar. More details on Risks not in VaR can be found in the 2017 Annual Report and Accounts on page 148
Market Risk RWAs under an IMA approach decreased \$0.4 billion driven by lower market volatility.
2.5 Leverage ratio
During the period, the PRA adopted the Bank of England's Financial Policy Committee (FPC) proposed changes to the UK leverage ratio framework. UK banks are now subject to a minimum leverage ratio of 3.25 per cent, an increase of 0.25 per cent from the previous 3.0 per cent minimum. In addition, a supplementary leverage ratio buffer is applicable, set at 35 per cent of the corresponding G-SII capital buffer and the countercyclical capital buffer, as those buffers are applicable to individual banks and are phased in.
The FPC also made a recommendation to the PRA to exclude qualifying claims on central bank exposures from the leverage exposure measure in the UK leverage ratio framework and to compensate for the resulting reduction in capital required by increasing the minimum leverage requirement from 3.0 per cent to 3.25 per cent.
Following the waiver granted by the PRA, the Group has been reporting the leverage ratio on a UK basis (excluding qualifying claims on central banks exposures) from March 2017 and does not expect any material impact arising from the proposed increase in minimum requirements.
At 31 December 2017, the Group's current minimum requirement was 3.5 per cent. The Group's expected future requirement of 3.7 per cent from 2019 comprises:
- (i) The minimum 3.25 per cent
- (ii) A 0.35 per cent G-SII leverage ratio buffer
- (iii) A 0.1 per cent countercyclical capital leverage ratio buffer, based on currently known pending countercyclical capital buffer rates and assuming a constant proportion of exposures to the relevant jurisdictions
The Group's current UK leverage ratio of 6.0 per cent is above the current minimum requirement. The leverage ratio in the period remained fl at mainly due to an increase in Tier 1 capital offset by an increase in the leverage exposure measure.
2.5 Leverage ratio continued
Table 16 below presents both the Group's UK leverage ratio, and CRR leverage ratio. The UK leverage ratio is approximately 30 basis points higher than on a CRR basis as at 31 December 2017 due to the exclusion of qualifying claims on central banks exposures from the UK exposure measure.
Table 16: UK and CRR leverage ratio
| 2017 \$million |
2016 \$million |
|
|---|---|---|
| Tier 1 capital (end point)1 | 43,103 | 40,557 |
| UK leverage exposure | 717,344 | 674,327 |
| UK leverage ratio | 6.0% | 6.0% |
| CRR leverage exposure | 759,518 | 717,768 |
| CRR leverage ratio | 5.7% | 5.7% |
| UK leverage exposure quarterly average | 723,508 | N/A |
| UK leverage ratio quarterly average | 6.0% | N/A |
| Countercyclical leverage ratio buffer | 0.1% | 0.0% |
| G-SII additional leverage ratio buffer | 0.2% | 0.1% |
1 Represented on the UK leverage ratio basis, excluding qualifying claims on central banks exposures from the leverage exposure measure
The UK leverage ratio in the period remained fl at as the increase in Tier 1 capital (end point) was offset by an increase in the UK leverage exposure measure.
CRR leverage ratio
Tables 17, 18 and 19 present the leverage ratio based on CRR requirements.
Table 17: Summary reconciliation of accounting assets and leverage exposure
| 2017 \$million |
2016 \$million |
|
|---|---|---|
| Total assets as per published fi nancial statements | 663,501 | 646,692 |
| Adjustment difference between the accounting scope of consolidation and the regulatory scope of consolidation | 10,462 | 11,950 |
| Adjustments for derivative fi nancial instruments | (16,854) | (5,268) |
| Adjustments for securities fi nancing transactions (SFTs) | 13,238 | 10,412 |
| Adjustment for off-balance sheet items (i.e. conversion to credit equivalent amounts of off-balance sheet exposures) | 96,260 | 60,535 |
| Other adjustments | (7,089) | (6,553) |
| Total leverage ratio exposure | 759,518 | 717,768 |
2.5 Leverage ratio continued
Table 18: Leverage ratio common disclosure
| 2017 \$million |
2016 \$million |
|
|---|---|---|
| On-balance sheet exposures (excluding derivatives and SFTs) | ||
| On-balance sheet items (excluding derivatives, SFTs and fi duciary assets, but including collateral) | 571,730 | 548,201 |
| (Asset amounts deducted in determining Tier 1 capital) | (7,089) | (6,553) |
| Total on-balance sheet exposures (excluding derivatives, SFTs and fi duciary assets) | 564,641 | 541,648 |
| Derivative exposures | ||
| Replacement cost associated with all derivatives transactions (i.e. net of eligible cash variation margin) | 7,391 | 17,164 |
| Add-on amounts for PFE associated with all derivatives transactions (mark-to-market method) | 30,027 | 49,607 |
| Exposure determined under Original Exposure Method | – | – |
| Gross-up for derivatives collateral provided where deducted from the balance sheet assets pursuant to the applicable accounting framework |
– | – |
| (Deductions of receivables assets for cash variation margin provided in derivatives transactions) | (8,586) | (13,825) |
| (Exempted CCP leg of client-cleared trade exposures) | – | – |
| Adjusted effective notional amount of written credit derivatives | 12,680 | 10,184 |
| (Adjusted effective notional offsets and add-on deductions for written credit derivatives) | (11,320) | (2,873) |
| Total derivative exposures | 30,192 | 60,257 |
| Securities fi nancing transaction exposures | ||
| Gross SFT assets (with no recognition of netting), after adjusting for sales accounting transactions | 55,187 | 44,916 |
| (Netted amounts of cash payables and cash receivables of gross SFT assets) | – | – |
| Counterparty credit risk exposure for SFT assets | 13,238 | 10,412 |
| Derogation for SFTs: Counterparty credit risk exposure in accordance with Article 429b (4) and 222 of Regulation (EU) No 575/2013 |
– | – |
| Agent transaction exposures | – | – |
| (Exempted CCP leg of client-cleared SFT exposure) | – | – |
| Total securities fi nancing transaction exposures | 68,425 | 55,328 |
| Other off-balance sheet exposures | ||
| Off-balance sheet exposures at gross notional amount | 288,076 | 216,052 |
| (Adjustments for conversion to credit equivalent amounts) | (191,816) | (155,517) |
| Other off-balance sheet exposures | 96,260 | 60,535 |
| Exempted exposures in accordance with CRR Article 429 (7) and (14) of Regulation (EU) No. 575/2013 (on and-off balance sheet) |
||
| (Intragroup exposures (solo basis) in accordance with Article 429(7) of Regulation (EU) No 575/2013 (on and off-balance sheet)) |
– | – |
| (Exposures exempted in accordance with Article 429 (14) of Regulation (EU) No 575/2013 (on and off-balance sheet)) | – | – |
| Capital and total exposures | – | – |
| Tier 1 capital (end point) | 43,103 | 40,557 |
| Leverage ratio total exposure measure | 759,518 | 717,768 |
| Leverage ratio | 5.7% | 5.7% |
| Choice on transitional arrangements and amount of derecognised fi duciary items | ||
| Choice on transitional arrangements for the defi nition of the capital measure | Fully phased in |
Fully phased in |
| Amount of derecognised fi duciary items in accordance with Article 429(11) of Regulation (EU) NO 575/2013 | – | – |
2.5 Leverage ratio continued
Table 19: Leverage ratio: Split-up of on-balance sheet exposures (excluding derivatives, SFTs and exempted exposures)
| 2017 \$million |
2016 \$million |
|
|---|---|---|
| Total on-balance sheet exposures (excluding derivatives, SFTs, and exempted exposures), of which: | 571,730 | 548,201 |
| Trading book exposures | 49,456 | 39,700 |
| Banking book exposures, of which: | 522,275 | 508,501 |
| Covered bonds | 3,428 | 5,004 |
| Exposures treated as sovereigns | 167,012 | 173,174 |
| Exposures to regional governments, MDB, international organisations and PSE not treated as sovereigns | 42 | 26 |
| Institutions | 72,555 | 64,547 |
| Secured by mortgages of immovable properties | 79,259 | 73,790 |
| Retail exposures | 25,577 | 22,789 |
| Corporates | 129,504 | 123,670 |
| Exposures in default | 9,106 | 10,083 |
| Other exposures (e.g. equity, securitisations, and other non-credit obligation assets) | 35,792 | 35,418 |
3. Credit risk
Our approach to credit risk can be found in the Risk management approach section in the 2017 Annual Report and Accounts on pages 165 to 167.
3.1. Internal Ratings Based Approach (IRB) to credit risk
The Group uses the Advanced IRB approach to measure credit risk for the majority of its portfolios. This allows the Group to use its own internal estimates of Probability of Default (PD), Loss Given Default (LGD), Residual Maturity, and Exposure at Default (EAD) to determine an asset risk-weighting. The IRB models cover 77 per cent of the Group's credit RWA (2016: 77 per cent).
PD is the likelihood that an obligor will default on an obligation within the next 12 months. Banks utilising the IRB approach must assign an internal PD to all borrowers. EAD is the expected amount of exposure to a particular facility at the point of default; it is modelled based on historical experience to determine the amount that is expected to be further drawn down from the undrawn portion of a facility. LGD is the percentage of EAD that a lender expects to lose in the event of obligor default. EAD and LGD are measured based on expectation in economic downturn periods, if these are more conservative than the long-run average.
All assets under the IRB approach have internal PD, LGD and EAD models developed to support the credit decision making process. RWA under the IRB approach is determined by regulatory specifi ed formulae dependent on the Group's estimates of residual maturity, PD, LGD and EAD. The development, use and governance of Corporate and Institutional Banking (CIB), Commercial Banking (CB) and Retail Banking models under the IRB approach are covered in more detail in Section 3.3 Internal Ratings Based models.
3.2. Standardised Approach to credit risk
The Standardised Approach is applied to portfolios that are classifi ed as permanently exempt from the IRB approach, and those portfolios for which an IRB approach has yet to be developed, for instance due to insuffi cient data availability.
CRR Article 150 allows IRB banks to elect to permanently exclude certain exposures from the IRB approach and use the Standardised Approach. These are known as permanent exemptions.
The permanent exemptions apply to:
- ¼ Africa all retail portfolios
- ¼ Private Banking
- ¼ Private Equity
- ¼ Development organisations
- ¼ Jordan
- ¼ Purchased receivables
- ¼ Hedge funds
Exposures to, or guaranteed by, central governments and central banks of EEA States, provided they are eligible for a 0 per cent risk weighting under the Standardised Approach.
The Standardised Approach measures credit risk pursuant to fi xed risk-weights and is the least sophisticated of the capital requirement calculation methodologies under Basel III. The risk-weight applied under the Standardised Approach is prescribed within the CRR and is based on the asset class to which the exposure is assigned.
3.3 Internal Ratings Based models
Model Governance
All IRB models are developed by Group Risk Measurement (GRM). Both new and existing models, as well as changes to the existing models, are subject to independent validation by Group Model Validation (GMV) and are reviewed and approved by the Credit Model Assessment Committee (CMAC) and the Stress Testing Committee (based on materiality). GRM and GMV are separate departments within Group Risk.
The performance of existing IRB models, including actual against predicted metrics, is monitored regularly by GRM and reported to CMAC on a quarterly basis. In addition, existing models are subject to annual independent validation by GMV. The CMAC sets out internal standards for model development, validation and performance monitoring. The Board Risk Committee is updated on the status and performance of IRB models on an annual basis. Rating overrides are tracked and threshold breaches are escalated to the relevant risk management committees, and model issues are tracked at CMAC. An annual selfassessment of IRB models' regulatory compliance is carried out as part of the Senior Management Function attestation.
Group Internal Audit is responsible for carrying out independent audit reviews of IRB models development, validation, approval and monitoring.
Probability of Default
PDs are estimated based on one of three industry standard approaches, namely the good-bad approach where a suffi cient number of internal defaults is available, the shadow-bond approach where there are no suffi cient internal defaults but there are external ratings for a large number of obligors, or the constrained expert judgement approach where neither internal defaults nor external ratings are available.
In CIB and CB, the largest portfolios are rated based on the shadow bond approach (Sovereigns, Banks, Large Corporates) or the good-bad approach (Mid Corporates). Central governments and central banks are rated using the sovereign model. Non-bank fi nancial institutions are rated using one of six constrained expert judgement models depending on their line of business, with the largest being Funds, Finance & Leasing, and Broker Dealers. Corporate clients are differentiated by their annual sales turnover and rated using one of the corporate models, unless they are commodity traders (for which a separate model has been developed) or are classifi ed under specialised lending. CIB and CB IRB PD models are subject to the 0.03 per cent regulatory fl oor.
Within CIB and CB, each client is assigned a credit grade and exposures to each client or client group are aggregated consistently with the regulatory Large Exposures requirements.
CIB and CB PD models are calibrated following a through-the-cycle rating philosophy based on historical data that includes a full economic cycle.
Estimates of PD are computed as of 1 January 2017 and are compared with default observations through 31 December 2017.
Our historical default experience for institutions, central governments or central banks is minimal, so the predicted PD refl ects a particularly low number of defaults. We experienced no defaults for central governments or central banks during 2017.
The actual default rates for institutions and corporate exposures in 2017 remained below IRB model predictions as at the beginning of 2017, based on the arithmetic average PD by obligors.
PD models for retail clients under each asset class are developed based on a combination of product and geography following the good-bad approach.
The same PD modelling approach is taken across the four key retail client product types: Residential Mortgages, Credit Cards (Qualifying Revolving Retail), Personal Instalment Loans (Other Retail) and Retail SME (Other Retail). The approach is based on using the country and product specifi c application scores for new to bank clients and behaviour scores for existing clients. The scorecards are built using demographic information, fi nancial information, observed client performance data (for behaviour scores), and where available, credit bureau data. Statistical techniques are used to develop a relationship between this information and the probability of default. The scorecards are used to make credit decisions. In addition, the PD models are segmented by delinquency status. All retail client PD models are built and validated using internal default data and are subject to the 0.03 per cent regulatory fl oor.
The actual default rates for the 'Residential mortgages', 'Qualifying revolving retail' and 'Other retail' asset classes remained below the model predictions, based on the arithmetic average PD by obligors, but actual default rates were above model predictions for the 'Retail SME' asset class. The higher actual default rate for 'Retail SME' was a result of increased defaults in the Korean and Hong Kong business clients segments.
Loss Given Default
The CIB and CB LGD model is a parameterbased model refl ecting the Bank's recovery and workout process, which takes into account risk drivers such as portfolio segment, product, credit grade of the obligor and collateral attached to the exposure. The model is calibrated based on downturn experience, if that is more conservative than the long-run experience. Regulatory fl oors are applied to unsecured LGD for sovereign and fi nancial institutions exposures, and to fully secured facilities (except if secured by cash). This is in accordance with the PRA's low-default framework which states that where there are insuffi cient defaults to estimate a parameter at granular level an LGD fl oor must be applied.
The calculation of realised versus predicted LGD is affected by the fact that it may take a number of years for the workout process to be completed. As such, an observed recovery value cannot be assigned to the majority of the 2017 defaults, making it
meaningless to compare realised versus predicted outcomes in a manner similar to that for PD and EAD.
To address this for corporate and institutions we have adopted an approach based on a four-year rolling period of predicted and realised LGD, which for the current reporting year includes 2014 to 2017 defaults that have completed their workout process as at the end of 2017. This approach compares the four-year rolling predicted LGD, providing the predicted outcome of these resolved defaults one year prior to default, against the realised LGD for the same set of defaults. These two fi gures are fully comparable, thereby providing a meaningful assessment of the LGD model's performance.
Under this approach, realised LGD values for corporates are lower than the predicted. This is explained by the regulatory guidance to calibrate LGD models to downturn conditions. There were no defaults in the previous four years for central governments and central banks. LGD for institutions refl ects one completed workout during the four-year rolling period for which actual loss was signifi cantly below predicted loss.
LGDs for retail portfolios follow two approaches:
- (i) LGDs for unsecured products are based on historical loss experience of defaults during a downturn; these are portfoliospecifi c LGD estimates segmented by default status (including restructuring).
- (ii) LGDs for secured products are parameter-based estimates mainly driven by how the default is resolved (cure, sale or charge-off). Key LGD parameters are differentiated by segments such as loan-to-value, property type and default status. These parameters are calibrated based on the portfolio's downturn experience.
Retail LGD model development considers defaults from a cohort and the actual recoveries up to the end of the workout window which is typically two to three years. For retail asset classes, the observed LGD from the December 2014 cohort (existing defaults and those defaulted in the next 12 months) was calculated based on actual recoveries observed from January 2015 until December 2017. This is compared to the predicted outcome of the same set of defaults.
Under this approach, realised LGD values for all retail asset classes are lower than predicted, primarily due to the regulatory
guidance to calibrate LGD models to downturn conditions. This is most evident in the mortgage portfolios, where predicted LGD values include a signifi cant assumed reduction in property values.
Exposure at Default
EAD takes into consideration the potential drawdown of a commitment as an obligor moves towards default by estimating the Credit Conversion Factor (CCF) of undrawn commitments.
EAD for corporate and institutional clients is determined on a global basis, while the commercial and retail EAD is dependent on the combination of country and product.
The corporate and institutional EAD model has adopted the momentum approach to estimate the CCF, with the type of facility and the level of utilisation being key drivers of CCF. The model is calibrated based on the Bank's internal downturn experience and fl oored at 0 per cent.
EAD for retail products differs between revolving products and term products. For revolving products, EAD is computed by estimating the CCF of undrawn commitments, with a fl oor at 0 per cent. For term products, EAD is set at the outstanding balance plus any undrawn portion. All the retail client EAD models are built and validated using internal default data.
The comparison of realised versus predicted EAD is summarised in the ratio of EAD of assets that defaulted in 2017 to the outstanding amount at time of default. The ratios for all models are larger than one, indicating that the predicted EAD is higher than the realised outstanding amount at default. This is explained by the regulatory guidance to assign conservatism to the CCF of certain exposure types and to calibrate the models to downturn conditions, as well as by the impact of management action leading to a reduction in actual exposure prior to default.
The Group has a strong monitoring and governance framework in place to identify and mitigate model performance issues. While most models are conservative and over predict PD, LGD and EAD, in cases where the models under predict, a post model adjustment may be taken to ensure adequate capitalisation, in addition to having a remediation plan in place.
The estimates provided in the table are before the application of any conservative adjustment.
Table 20: CIC model results
| PD Predicted 1 January 2017 % |
PD Observed 31 December 2017 % |
LGD Predicted (2014-2017) % |
LGD Realised (2014-2017) % |
EAD Predicted/ Realised % |
Proportion of total IRB portfolio % |
|
|---|---|---|---|---|---|---|
| Corporate, institutions and commercial | ||||||
| Central governments or central banks | 1.09 | 0.00 | N/A | N/A | N/A | 23 |
| Institutions | 0.46 | 0.02 | 41.20 | 1.60 | 3.57 | 21 |
| Corporates | 2.10 | 0.86 | 38.99 | 32.60 | 1.23 | 38 |
| Corporate SME | 3.44 | 2.33 | 56.15 | 39.92 | 1.19 | 1 |
Table 21: Retail model results
| PD Predicted 1 January 2017 % |
PD Observed 31 December 2017 % |
LGD Predicted (2014-2017) % |
LGD Realised (2014-2017) % |
EAD Predicted/ Observed % |
Proportion of total IRB portfolio % |
|
|---|---|---|---|---|---|---|
| Retail | ||||||
| Qualifying revolving retail | 3.52 | 1.40 | 81.12 | 70.15 | 1.23 | 2 |
| Other retail | 2.76 | 2.36 | 80.75 | 72.19 | 1.15 | 2 |
| Residential mortgages | 0.57 | 0.32 | 15.60 | 3.89 | 1.02 | 12 |
| Retail SME | 2.15 | 2.55 | 60.61 | 51.14 | 1.54 | – |
Table 22: IRB – Backtesting of probability of default (PD) for central governments or central banks (CR9)
| 2017 | ||||||||
|---|---|---|---|---|---|---|---|---|
| Arithmetic | Number of obligors | Average | ||||||
| PD Range % |
External Rating equivalent (S&P) |
Weighted average PD (prior year) % |
average PD by obligors (prior year) % |
31 December 2016 |
31 December 2017 |
Defaulted obligors in the year |
of which: new defaulted obligors in the year |
historical annual default rate % |
| 0.17 | 1.09 | 380 | 322 | – | – | – | ||
| 0.00 to <0.15 | AAA to BBB- | 248 | 180 | |||||
| 0.15 to <0.25 | BBB,BBB- | 16 | 17 | |||||
| 0.25 to <0.50 | BBB-,BB+, BB | 14 | 13 | |||||
| 0.50 to <0.75 | BB+,BB | 5 | 5 | |||||
| 0.75 to <2.50 | BB,BB-,B+,B | 64 | 72 | |||||
| 2.50 to <10.00 | B,B-,CCC, C | 25 | 22 | |||||
| 10.00 to <100.00 | CCC, C | 8 | 12 | |||||
| 100.00 (default) | D | – | 1 |
| 2016 | ||||||||
|---|---|---|---|---|---|---|---|---|
| Arithmetic | Number of obligors | Average | ||||||
| PD Range % |
External Rating equivalent (S&P) |
Weighted average PD (prior year) % |
average PD by obligors (prior year) % |
31 December 2015 |
31 December 2016 |
Defaulted obligors in the year |
of which: new defaulted obligors in the year |
historical ` annual default rate % |
| 0.14 | 1.04 | 434 | 380 | – | – | – | ||
| 0.00 to <0.15 | AAA to BBB- | 313 | 248 | |||||
| 0.15 to <0.25 | BBB,BBB- | 13 | 16 | |||||
| 0.25 to <0.50 | BBB-,BB+, BB | 9 | 14 | |||||
| 0.50 to <0.75 | BB+,BB | 4 | 5 | |||||
| 0.75 to <2.50 | BB,BB-,B+,B | 57 | 64 | |||||
| 2.50 to <10.00 | B,B-,CCC, C | 30 | 25 | |||||
| 10.00 to <100.00 | CCC, C | 8 | 8 | |||||
| 100.00 (default) | D | – | – | |||||
Table 23: IRB – Backtesting of probability of default (PD) for institutions (CR9)
| 2017 | ||||||||
|---|---|---|---|---|---|---|---|---|
| Arithmetic | Number of obligors | Average | ||||||
| PD Range % |
External Rating equivalent (S&P) |
Weighted average PD (prior year) % |
average PD by obligors (prior year) % |
31 December 2016 |
31 December 2017 |
Defaulted obligors in the year |
of which: new defaulted obligors in the year |
historical annual default rate % |
| 0.17 | 0.46 | 2,047 | 2,010 | 1 | – | 0.03 | ||
| 0.00 to <0.15 | AAA to BBB- | 991 | 993 | |||||
| 0.15 to <0.25 | BBB,BBB- | 177 | 155 | |||||
| 0.25 to <0.50 | BBB-,BB+, BB | 241 | 226 | |||||
| 0.50 to <0.75 | BB+,BB | 69 | 67 | |||||
| 0.75 to <2.50 | BB,BB-,B+,B | 431 | 462 | |||||
| 2.50 to <10.00 | B,B-,CCC, C | 78 | 56 | |||||
| 10.00 to <100.00 | CCC, C | 53 | 47 | |||||
| 100.00 (default) | D | 7 | 4 |
| 2016 | |||||||
|---|---|---|---|---|---|---|---|
| Average | Number of obligors | Arithmetic | |||||
| of which: historical new defaulted annual obligors in default rate the year % |
Defaulted obligors in the year |
31 December 2016 |
31 December 2015 |
average PD by obligors (prior year) % |
Weighted average PD (prior year) % |
External Rating equivalent (S&P) |
PD Range % |
| – 0.05 |
3 | 2,047 | 2,130 | 0.62 | 0.18 | ||
| 991 | 1,064 | AAA to BBB- | 0.00 to <0.15 | ||||
| 177 | 189 | BBB,BBB- | 0.15 to <0.25 | ||||
| 241 | 211 | BBB-,BB+, BB | 0.25 to <0.50 | ||||
| 69 | 70 | BB+,BB | 0.50 to <0.75 | ||||
| 431 | 413 | BB,BB-,B+,B | 0.75 to <2.50 | ||||
| 78 | 103 | B,B-,CCC, C | 2.50 to <10.00 | ||||
| 53 | 68 | CCC, C | 10.00 to <100.00 | ||||
| 7 | 12 | D | 100.00 (default) | ||||
Table 24: IRB – Backtesting of probability of default (PD) for corporates (CR9)
| 2017 | ||||||||
|---|---|---|---|---|---|---|---|---|
| PD Range % |
External Rating equivalent (S&P) |
Weighted average PD (prior year) % |
Arithmetic average PD by obligors (prior year) % |
Number of obligors 31 December 2016 |
31 December 2017 |
Defaulted obligors in the year |
of which: new defaulted obligors in the year |
Average historical annual default rate % |
| 1.29 | 2.51 | 64,617 | 56,017 | 391 | 19 | 1.56 | ||
| 0.00 to <0.15 | AAA to BBB- | 5,450 | 5,367 | |||||
| 0.15 to <0.25 | BBB,BBB- | 2,648 | 2,867 | |||||
| 0.25 to <0.50 | BBB-,BB+, BB | 5,872 | 3,236 | |||||
| 0.50 to <0.75 | BB+,BB | 10,856 | 1,830 | |||||
| 0.75 to <2.50 | BB,BB-,B+,B | 25,059 | 29,302 | |||||
| 2.50 to <10.00 | B,B-,CCC, C | 7,478 | 5,968 | |||||
| 10.00 to <100.00 | CCC, C | 2,293 | 2,337 | |||||
| 100.00 (default) | D | 4,961 | 5,110 |
| Arithmetic | Number of obligors | Average | ||||||
|---|---|---|---|---|---|---|---|---|
| PD Range | External Rating equivalent % (S&P) |
Weighted average PD (prior year) % |
average PD by obligors (prior year) % |
31 December 2015 |
31 December 2016 |
Defaulted obligors in the year |
of which: new defaulted obligors in the year |
historical annual default rate % |
| 2.00 | 2.95 | 71,892 | 64,617 | 489 | 30 | 1.55 | ||
| 0.00 to <0.15 | AAA to BBB- | 5,425 | 5,450 | |||||
| 0.15 to <0.25 | BBB,BBB- | 2,475 | 2,648 | |||||
| 0.25 to <0.50 | BBB-,BB+, BB | 6,572 | 5,872 | |||||
| 0.50 to <0.75 | BB+,BB | 11,110 | 10,856 | |||||
| 0.75 to <2.50 | BB,BB-,B+,B | 30,483 | 25,059 | |||||
| 2.50 to <10.00 | B,B-,CCC, C | 9,076 | 7,478 | |||||
| 10.00 to <100.00 | CCC, C | 3,004 | 2,293 | |||||
| 100.00 (default) | D | 3,747 | 4,961 |
Table 25: IRB – Backtesting of probability of default (PD) for corporates – specialised lending (CR9)
| 2017 | ||||||||
|---|---|---|---|---|---|---|---|---|
| Arithmetic | Number of obligors | Average | ||||||
| PD Range % |
External Rating equivalent (S&P) |
Weighted average PD (prior year) % |
average PD by obligors (prior year) % |
31 December 2016 |
31 December 2017 |
Defaulted obligors in the year |
of which: new defaulted obligors in the year |
historical annual default rate % |
| 1.40 | 1.40 | 258 | 1,108 | 8 | – | 1.10 | ||
| 0.00 to <0.15 | AAA to BBB- | 55 | 151 | |||||
| 0.15 to <0.25 | BBB,BBB- | 17 | 149 | |||||
| 0.25 to <0.50 | BBB-,BB+ BB | 23 | 181 | |||||
| 0.50 to <0.75 | BB+,BB | 12 | 62 | |||||
| 0.75 to <2.50 | BB,BB-,B+,B | 109 | 361 | |||||
| 2.50 to <10.00 | B,B-,CCC, C | 27 | 85 | |||||
| 10.00 to <100.00 | CCC, C | 4 | 58 | |||||
| 100.00 (default) | D | 11 | 61 |
| Arithmetic | Number of obligors | Average | ||||||
|---|---|---|---|---|---|---|---|---|
| PD Range % |
External Rating equivalent (S&P) |
Weighted average PD (prior year) % |
average PD by obligors (prior year) % |
31 December 2015 |
31 December 2016 |
Defaulted obligors in the year |
of which: new defaulted obligors in the year |
historical annual default rate % |
| 0.99 | 1.07 | 221 | 258 | 1 | – | 1.05 | ||
| 0.00 to <0.15 | AAA to BBB- | 42 | 55 | |||||
| 0.15 to <0.25 | BBB,BBB- | 25 | 17 | |||||
| 0.25 to <0.50 | BBB-,BB+ BB | 38 | 23 | |||||
| 0.50 to <0.75 | BB+,BB | 11 | 12 | |||||
| 0.75 to <2.50 | BB,BB-,B+,B | 77 | 109 | |||||
| 2.50 to <10.00 | B,B-,CCC, C | 17 | 27 | |||||
| 10.00 to <100.00 | CCC, C | 1 | 4 | |||||
| 100.00 (default) | D | 10 | 11 |
Table 26: IRB – Backtesting of probability of default (PD) for corporates – SME (CR9)
| 2017 | ||||||||
|---|---|---|---|---|---|---|---|---|
| Arithmetic | Number of obligors | Average | ||||||
| PD Range % |
External Rating equivalent (S&P) |
Weighted average PD (prior year) % |
average PD by obligors (prior year) % |
31 December 2016 |
31 December 2017 |
Defaulted obligors in the year |
of which: new defaulted obligors in the year |
historical annual default rate % |
| 3.09 | 3.44 | 44,575 | 36,312 | 238 | 19 | 2.84 | ||
| 0.00 to <0.15 | AAA to BBB- | 78 | 57 | |||||
| 0.15 to <0.25 | BBB,BBB- | 197 | 189 | |||||
| 0.25 to <0.50 | BBB-,BB+, BB | 2,820 | 160 | |||||
| 0.50 to <0.75 | BB+,BB | 9,711 | 612 | |||||
| 0.75 to <2.50 | BB,BB-,B+,B | 20,723 | 25,496 | |||||
| 2.50 to <10.00 | B,B-,CCC, C | 5,906 | 4,402 | |||||
| 10.00 to <100.00 | CCC, C | 1,077 | 1,127 | |||||
| 100.00 (default) | D | 4,063 | 4,269 |
| Arithmetic | Number of obligors | Average | ||||||
|---|---|---|---|---|---|---|---|---|
| PD Range % |
External Rating equivalent (S&P) |
Weighted average PD (prior year) % |
average PD by obligors (prior year) % |
31 December 2015 |
31 December 2016 |
Defaulted obligors in the year |
of which: new defaulted obligors in the year |
historical annual default rate % |
| 3.66 | 3.45 | 50,048 | 44,575 | 351 | 30 | 3.05 | ||
| 0.00 to <0.15 | AAA to BBB- | 58 | 78 | |||||
| 0.15 to <0.25 | BBB,BBB- | 216 | 197 | |||||
| 0.25 to <0.50 | BBB-,BB+, BB | 3,709 | 2,820 | |||||
| 0.50 to <0.75 | BB+,BB | 9,958 | 9,711 | |||||
| 0.75 to <2.50 | BB,BB-,B+,B | 24,813 | 20,723 | |||||
| 2.50 to <10.00 | B,B-,CCC, C | 7,144 | 5,906 | |||||
| 10.00 to <100.00 | CCC, C | 1,244 | 1,077 | |||||
| 100.00 (default) | D | 2,906 | 4,063 |
Table 27: IRB – Backtesting of probability of default (PD) for retail (CR9)
| 2017 | |||||||
|---|---|---|---|---|---|---|---|
| Arithmetic | Number of obligors | Average | |||||
| PD Range % |
Weighted average PD (prior year) % |
average PD by obligors (prior year) % |
31 December 2016 |
31 December 2017 |
Defaulted obligors in the year |
of which: new defaulted obligors in the year |
historical annual default rate % |
| 0.68 | 3.11 | 4,258,796 | 3,994,453 | 58,897 | 2,172 | 1.95 | |
| 0.00 to <0.15 | 1,486,876 | 1,291,254 | |||||
| 0.15 to <0.25 | 390,002 | 345,813 | |||||
| 0.25 to <0.50 | 368,764 | 308,761 | |||||
| 0.50 to <0.75 | 110,405 | 204,315 | |||||
| 0.75 to <2.50 | 676,968 | 657,708 | |||||
| 2.50 to <10.00 | 838,692 | 788,593 | |||||
| 10.00 to <100.00 | 275,682 | 319,073 | |||||
| 100.00 (default) | 111,407 | 78,936 |
| 2016 | |||||||
|---|---|---|---|---|---|---|---|
| Arithmetic | Number of obligors | Average | |||||
| PD Range % |
Weighted average PD (prior year) % |
average PD by obligors (prior year) % |
31 December 2015 |
31 December 2016 |
Defaulted obligors in the year |
of which: new defaulted obligors in the year |
historical annual default rate % |
| 0.81 | 3.25 | 4,327,822 | 4,258,796 | 93,620 | 2,065 | 2.27 | |
| 0.00 to <0.15 | 1,316,632 | 1,486,876 | |||||
| 0.15 to <0.25 | 417,938 | 390,002 | |||||
| 0.25 to <0.50 | 375,644 | 368,764 | |||||
| 0.50 to <0.75 | 122,440 | 110,405 | |||||
| 0.75 to <2.50 | 701,454 | 676,968 | |||||
| 2.50 to <10.00 | 932,977 | 838,692 | |||||
| 10.00 to <100.00 | 334,426 | 275,682 | |||||
| 100.00 (default) | 126,311 | 111,407 |
Table 28: IRB – Backtesting of probability of default (PD) for retail – SME (CR9)
| 2017 | ||||||||
|---|---|---|---|---|---|---|---|---|
| Arithmetic | Number of obligors | Average | ||||||
| PD Range % |
Weighted average PD (prior year) % |
average PD by obligors (prior year) % |
31 December 2016 |
31 December 2017 |
Defaulted obligors in the year |
of which: new defaulted obligors in the year |
historical annual default rate % |
|
| 1.61 | 2.15 | 7,476 | 9,481 | 770 | 44 | 2.66 | ||
| 0.00 to <0.15 | 447 | 424 | ||||||
| 0.15 to <0.25 | 726 | 724 | ||||||
| 0.25 to <0.50 | 73 | 83 | ||||||
| 0.50 to <0.75 | 189 | 47 | ||||||
| 0.75 to <2.50 | 3,803 | 3,700 | ||||||
| 2.50 to <10.00 | 1,297 | 3,293 | ||||||
| 10.00 to <100.00 | 766 | 910 | ||||||
| 100.00 (default) | 175 | 300 | ||||||
| 2016 |
| Arithmetic | Number of obligors | Average | ||||||
|---|---|---|---|---|---|---|---|---|
| PD Range % |
Weighted average PD (prior year) % |
average PD by obligors (prior year) % |
31 December 2015 |
31 December 2016 |
Defaulted obligors in the year |
of which: new defaulted obligors in the year |
historical annual default rate % |
|
| 1.90 | 2.20 | 10,561 | 7,476 | 1,323 | 64 | 3.01 | ||
| 0.00 to <0.15 | 492 | 447 | ||||||
| 0.15 to <0.25 | 720 | 726 | ||||||
| 0.25 to <0.50 | 110 | 73 | ||||||
| 0.50 to <0.75 | 191 | 189 | ||||||
| 0.75 to <2.50 | 5,098 | 3,803 | ||||||
| 2.50 to <10.00 | 2,718 | 1,297 | ||||||
| 10.00 to <100.00 | 1,035 | 766 | ||||||
| 100.00 (default) | 197 | 175 |
Table 29: IRB – Backtesting of probability of default (PD) for retail – secured by real estate property (CR9)
| Arithmetic | Number of obligors | Average | ||||||
|---|---|---|---|---|---|---|---|---|
| PD Range % |
Weighted average PD (prior year) % |
average PD by obligors (prior year) % |
31 December 2016 |
31 December 2017 |
Defaulted obligors in the year |
of which: new defaulted obligors in the year |
historical annual default rate % |
|
| 0.30 | 0.57 | 363,674 | 363,906 | 1,289 | 37 | 0.47 | ||
| 0.00 to <0.15 | 262,558 | 251,864 | ||||||
| 0.15 to <0.25 | 32,569 | 43,108 | ||||||
| 0.25 to <0.50 | 24,946 | 25,386 | ||||||
| 0.50 to <0.75 | 12,418 | 11,948 | ||||||
| 0.75 to <2.50 | 18,610 | 19,071 | ||||||
| 2.50 to <10.00 | 5,699 | 5,860 | ||||||
| 10.00 to <100.00 | 3,034 | 3,161 | ||||||
| 100.00 (default) | 3,840 | 3,508 |
| 2016 | |||||||
|---|---|---|---|---|---|---|---|
| Arithmetic | Number of obligors | Average | |||||
| PD Range % |
Weighted average PD (prior year) % |
average PD by obligors (prior year) % |
31 December 2015 |
31 December 2016 |
Defaulted obligors in the year |
of which: new defaulted obligors in the year |
historical annual default rate % |
| 0.34 | 0.67 | 305,072 | 363,674 | 1,266 | 16 | 0.53 | |
| 0.00 to <0.15 | 205,072 | 262,558 | |||||
| 0.15 to <0.25 | 28,450 | 32,569 | |||||
| 0.25 to <0.50 | 23,053 | 24,946 | |||||
| 0.50 to <0.75 | 13,057 | 12,418 | |||||
| 0.75 to <2.50 | 22,342 | 18,610 | |||||
| 2.50 to <10.00 | 6,289 | 5,699 | |||||
| 10.00 to <100.00 | 3,276 | 3,034 | |||||
| 100.00 (default) | 3,533 | 3,840 |
Table 30: IRB – Backtesting of probability of default (PD) for retail – qualifying revolving (CR9)
| 2017 | |||||||
|---|---|---|---|---|---|---|---|
| PD Range % |
Weighted average PD (prior year) % |
Arithmetic average PD by obligors (prior year) % |
Number of obligors 31 December 2016 |
31 December 2017 |
Defaulted obligors in the year |
of which: new defaulted obligors in the year |
Average historical annual default rate % |
| 1.29 | 3.52 | 3,300,089 | 3,099,167 | 43,869 | 1,789 | 1.87 | |
| 0.00 to <0.15 | 1,203,817 | 1,017,822 | |||||
| 0.15 to <0.25 | 280,363 | 248,526 | |||||
| 0.25 to <0.50 | 261,669 | 195,125 | |||||
| 0.50 to <0.75 | 70,845 | 168,530 | |||||
| 0.75 to <2.50 | 508,372 | 467,513 | |||||
| 2.50 to <10.00 | 671,114 | 655,029 | |||||
| 10.00 to <100.00 | 241,615 | 304,563 | |||||
| 100.00 (default) | 62,294 | 42,059 |
| 2016 | |||||||
|---|---|---|---|---|---|---|---|
| Arithmetic | Number of obligors | Average | |||||
| PD Range % |
Weighted average PD (prior year) % |
average PD by obligors (prior year) % |
31 December 2015 |
31 December 2016 |
Defaulted obligors in the year |
of which: new defaulted obligors in the year |
historical annual default rate % |
| 1.44 | 3.40 | 3,366,313 | 3,300,089 | 59,977 | 1,555 | 1.97 | |
| 0.00 to <0.15 | 1,097,553 | 1,203,817 | |||||
| 0.15 to <0.25 | 326,418 | 280,363 | |||||
| 0.25 to <0.50 | 266,916 | 261,669 | |||||
| 0.50 to <0.75 | 76,571 | 70,845 | |||||
| 0.75 to <2.50 | 520,894 | 508,372 | |||||
| 2.50 to <10.00 | 721,772 | 671,114 | |||||
| 10.00 to <100.00 | 287,002 | 241,615 | |||||
| 100.00 (default) | 69,187 | 62,294 |
3.4 Exposure values
The following tables detail the Group's EAD (including counterparty risk) before the effect of collateral but after the effect of substitution, broken down by exposure class and further split by geography, industry and maturity. For credit risk exposures, EAD is based on the current outstanding exposure and accrued interest and fees, which are recognised in the Group's balance sheet in accordance with IFRS, and a proportion of the undrawn component of the facility. The amount of the undrawn facility included is dependent on the product type and for IRB exposure classes this amount is modelled internally.
Exposure classes are presented in accordance with the CRR rules and are based on counterparty type. This differs from the product-based approach applied in the Annual Report and Accounts.
Geographical analysis is based on the residency of the counterparty. Maturity analysis is based on the residual maturity of the exposure in line with the maturity analysis in the 2017 Annual Report and Accounts on pages 142 to 143.
EAD increased by \$48.2 billion (Tables 31 to 34) mainly due to:
- ¼ IRB central governments and central banks EAD increased \$13.6 billion driven by an increase in repo exposures mainly in ASEAN and GCNA regions
-
¼ IRB institutions EAD increased \$5.9 billion due to \$11 billion of exposure increases in GCNA partially offset by decreases in exposures in Europe and Americas
-
¼ IRB corporates EAD increased \$9.8 billion across multiple product lines, principally in GCNA and ASEAN offset by reductions in exposures in Europe and Americas
- ¼ IRB retail exposures EAD increased \$5.3 billion mainly due to increases in residential mortgages within ASEAN and GCNA
- ¼ Standardised institutions EAD increased \$18 billion mainly in SFTs, with consequentially small impacts on EAD post CRM and RWAs
Offset by:
¼ Standardised central governments and central banks EAD decreased \$7.2 billion mainly due to reduced nostro balances in Europe and Americas
Table 31: Total and average exposure at default (CRB-B)
| 2017 | 2016 | ||||
|---|---|---|---|---|---|
| EAD before the effect of CRM1 \$million |
Average EAD before the effect of CRM2 \$million |
EAD before the effect of CRM1 \$million |
Average EAD before the effect of CRM2 \$million |
||
| IRB Exposure Class | |||||
| Central governments or central banks | 139,258 | 133,292 | 125,654 | 133,003 | |
| Institutions | 125,044 | 123,999 | 119,128 | 123,421 | |
| Corporates | 231,617 | 221,639 | 221,817 | 222,438 | |
| Of which specialised lending | 17,798 | 9,211 | 6,411 | 6,640 | |
| Of which SME | 6,822 | 7,561 | 7,819 | 9,220 | |
| Retail | 99,269 | 97,380 | 93,895 | 94,713 | |
| Secured by real estate collateral | 71,476 | 69,361 | 66,639 | 66,954 | |
| Of which SME | 262 | 257 | 252 | 281 | |
| Of which Non SME | 71,214 | 69,104 | 66,387 | 66,673 | |
| Qualifying revolving retail | 14,276 | 15,715 | 15,866 | 16,303 | |
| Other retail | 13,517 | 12,304 | 11,390 | 11,456 | |
| Of which SME | 1,493 | 1,038 | 875 | 881 | |
| Of which Non SME | 12,024 | 11,266 | 10,515 | 10,575 | |
| Non-credit obligation assets3 | 1,300 | 1,571 | – | – | |
| Total IRB4 | 596,488 | 577,881 | 560,495 | 573,574 | |
| Standardised Exposure Class | |||||
| Central governments or central banks | 37,155 | 46,183 | 44,311 | 33,646 | |
| Multilateral development banks | 13,951 | 14,175 | 14,922 | 16,139 | |
| Institutions | 39,461 | 33,709 | 21,414 | 15,486 | |
| Corporates | 34,611 | 36,324 | 35,352 | 33,314 | |
| Of which SME | 14,995 | 14,670 | 13,146 | 14,435 | |
| Retail | 13,053 | 12,459 | 11,974 | 12,328 | |
| Of which SME | 3,093 | 3,071 | 3,049 | 3,179 | |
| Secured on real estate property | 10,419 | 10,456 | 9,986 | 11,530 | |
| Of which SME | 3,750 | 3,521 | 3,233 | 3,646 | |
| Past due items | 398 | 363 | 334 | 317 | |
| Items belonging to regulatory high risk categories | 2,044 | 2,454 | 2,614 | 3,021 | |
| Equity5 | 1,818 | 1,557 | – | – | |
| Other items6 | 10,324 | 9,921 | 10,157 | 10,181 | |
| Total Standardised | 163,234 | 167,601 | 151,064 | 135,962 | |
| Total | 759,722 | 745,482 | 711,559 | 709,537 |
1 EAD before the effect of collateral but after substitution
2 Averages are calculated using past fi ve quarters
3 Non-credit obligation assets are excluded for 2016
4 Excludes securitisation exposures
5 Equity holdings are included under other items in 2016
6 Other items include cash, fi xed assets, prepayments and accrued income
Table 32: Exposure at default by geography (CRB-C)
| 2017 | |||||
|---|---|---|---|---|---|
| Greater China & North Asia \$million |
ASEAN & South Asia \$million |
Africa & Middle East \$million |
Europe & Americas \$million |
Period End Total \$million |
|
| IRB Exposure Class | |||||
| Central governments or central banks | 71,538 | 24,073 | 15,349 | 28,298 | 139,258 |
| Institutions | 49,931 | 19,944 | 14,284 | 40,885 | 125,044 |
| Corporates | 61,161 | 51,809 | 39,045 | 79,602 | 231,617 |
| Of which specialised lending | 4,060 | 6,440 | 4,033 | 3,265 | 17,798 |
| Of which SME | 3,638 | 1,536 | 1,190 | 458 | 6,822 |
| Retail | 72,622 | 25,701 | 923 | 23 | 99,269 |
| Secured by real estate collateral | 52,204 | 19,272 | – | – | 71,476 |
| Of which SME | 22 | 240 | – | – | 262 |
| Of which Non SME | 52,182 | 19,032 | – | – | 71,214 |
| Qualifying revolving retail | 9,814 | 4,090 | 358 | 14 | 14,276 |
| Other retail | 10,604 | 2,339 | 565 | 9 | 13,517 |
| Of which SME | 738 | 755 | – | – | 1,493 |
| Of which Non SME | 9,866 | 1,584 | 565 | 9 | 12,024 |
| Non-credit obligation assets1 | 395 | 352 | 233 | 320 | 1,300 |
| Total IRB2 | 255,647 | 121,879 | 69,834 | 149,128 | 596,488 |
| Standardised Exposure Class | |||||
| Central governments or central banks | 406 | 3,390 | 643 | 32,716 | 37,155 |
| Multilateral development banks | – | 1,693 | 1,791 | 10,467 | 13,951 |
| Institutions | 828 | 3,055 | 75 | 35,503 | 39,461 |
| Corporates | 6,172 | 11,726 | 2,974 | 13,739 | 34,611 |
| Of which SME | 3,083 | 5,713 | 2,112 | 4,087 | 14,995 |
| Retail | 3,211 | 6,776 | 3,039 | 27 | 13,053 |
| Of which SME | 645 | 2,328 | 119 | 1 | 3,093 |
| Secured on real estate property | 3,113 | 3,657 | 2,563 | 1,086 | 10,419 |
| Of which SME | 426 | 1,863 | 406 | 1,055 | 3,750 |
| Past due items | 61 | 242 | 93 | 2 | 398 |
| Items belonging to regulatory high risk categories | 1,041 | 627 | 314 | 62 | 2,044 |
| Equity3 | 1,489 | 277 | – | 52 | 1,818 |
| Other items4 | 3,470 | 4,109 | 1,340 | 1,405 | 10,324 |
| Total Standardised | 19,791 | 35,552 | 12,832 | 95,059 | 163,234 |
| Total5 | 275,438 | 157,431 | 82,666 | 244,187 | 759,722 |
1 Non-credit obligation assets are excluded for 2016
2 Excludes Securitisation exposures
3 Equity holdings are included under other items in 2016
4 Other items include cash, fi xed assets, prepayments and accrued income
5 Refer to Table 31 (CRB-B) for EAD before the effect of CRM
Table 32: Exposure at default by geography (CRB-C) continued
| 20161 | |||||
|---|---|---|---|---|---|
| Greater China & North Asia \$million |
ASEAN & South Asia \$million |
Africa & Middle East \$million |
Europe & Americas \$million |
Period End Total \$million |
|
| IRB Exposure Class | |||||
| Central governments or central banks | 64,233 | 20,165 | 12,334 | 28,922 | 125,654 |
| Institutions | 36,986 | 20,966 | 15,534 | 45,642 | 119,128 |
| Corporates | 48,018 | 46,917 | 37,806 | 89,076 | 221,817 |
| Of which specialised lending | 1,044 | 2,114 | 2,454 | 799 | 6,411 |
| Of which SME | 4,042 | 1,601 | 1,102 | 1,074 | 7,819 |
| Retail | 69,497 | 23,239 | 1,153 | 7 | 93,896 |
| Secured by real estate collateral | 49,414 | 17,225 | – | – | 66,639 |
| Of which SME | 21 | 231 | – | – | 252 |
| Of which Non SME | 49,393 | 16,994 | – | – | 66,387 |
| Qualifying revolving retail | 11,050 | 4,239 | 578 | – | 15,867 |
| Other retail | 9,033 | 1,775 | 575 | 7 | 11,390 |
| Of which SME | 610 | 265 | – | – | 875 |
| Of which Non SME | 8,423 | 1,510 | 575 | 7 | 10,515 |
| Total IRB2 | 218,734 | 111,287 | 66,827 | 163,647 | 560,495 |
| Standardised Exposure Class | |||||
| Central governments or central banks | 295 | 4,111 | 460 | 39,445 | 44,311 |
| Multilateral development banks | – | 1,967 | 1,671 | 11,284 | 14,922 |
| Institutions | 424 | 1,445 | 66 | 19,479 | 21,414 |
| Corporates | 5,404 | 11,418 | 2,686 | 15,844 | 35,352 |
| Of which SME | 2,251 | 5,108 | 1,755 | 4,032 | 13,146 |
| Retail | 2,833 | 6,230 | 2,880 | 31 | 11,974 |
| Of which SME | 689 | 2,244 | 116 | – | 3,049 |
| Secured on real estate property | 3,042 | 3,858 | 2,320 | 766 | 9,986 |
| Of which SME | 486 | 1,775 | 334 | 638 | 3,233 |
| Past due items | 78 | 129 | 65 | 62 | 334 |
| Items belonging to regulatory high risk categories | 1,040 | 1,130 | 363 | 81 | 2,614 |
| Other items3 | 4,467 | 2,910 | 1,242 | 1,538 | 10,157 |
| Total Standardised | 17,583 | 33,198 | 11,753 | 88,530 | 151,064 |
| Total | 236,317 | 144,485 | 78,580 | 252,177 | 711,559 |
1 The 2016 comparatives were re-presented to use the residency of the counterparty (previously booking location) to align with the requirements of the EBA guidelines (EBA/ GL/2016/11)
2 Excludes Securitisation exposures and Non-credit obligation assets
3 Other items include cash, fi xed assets, prepayments and accrued income and equity
Table 33: Exposure at default by industry (CRB-D)
| 2017 | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Loans to Individuals Mortgage \$million |
Loans to Individuals Other \$million |
SME \$million |
Comm erce \$million |
Manufac turing \$million |
Commer cial Real Estate \$million |
Govern ment \$million |
Financing Insurance & Business Services \$million |
Transport & Storage & Communi cation \$million |
Other \$million |
Total \$million |
|
| IRB Exposure Class | |||||||||||
| Central governments or central banks |
– | – | – | – | 102 | 348 132,407 | 6,307 | 94 | – 139,258 | ||
| Institutions | – | – | – | 152 | – | 9 | 2,924 | 121,884 | 75 | – 125,044 | |
| Corporates | – | 14 | 7,517 | 30,686 | 50,836 | 12,475 | 1,094 | 82,900 | 13,828 | 32,267 | 231,617 |
| Of which specialised lending | – | – | 694 | 7,105 | 823 | 1,503 | – | 528 | 2,914 | 4,231 | 17,798 |
| Of which SME | – | – | 6,822 | – | – | – | – | – | – | – | 6,822 |
| Retail | 71,214 | 26,300 | 1,755 | – | – | – | – | – | – | – | 99,269 |
| Secured by real estate collateral |
71,214 | – | 262 | – | – | – | – | – | – | – | 71,476 |
| Of which SME | – | – | 262 | – | – | – | – | – | – | – | 262 |
| Of which Non SME | 71,214 | – | – | – | – | – | – | – | – | – | 71,214 |
| Qualifying revolving retail | – | 14,276 | – | – | – | – | – | – | – | – | 14,276 |
| Other retail | – | 12,024 | 1,493 | – | – | – | – | – | – | – | 13,517 |
| Of which SME | – | – | 1,493 | – | – | – | – | – | – | – | 1,493 |
| Of which Non SME | – | 12,024 | – | – | – | – | – | – | – | – | 12,024 |
| Non-credit obligation assets1 | – | – | – | 6 | – | – | – | – | 1,275 | 19 | 1,300 |
| Total IRB2 | 71,214 | 26,314 | 9,272 | 30,844 | 50,938 | 12,832 136,425 | 211,091 | 15,272 | 32,286 596,488 | ||
| Standardised Exposure Class | |||||||||||
| Central governments or central banks |
– | – | – | – | – | – | 28,551 | 1,965 | – | 6,639 | 37,155 |
| Multilateral development banks | – | – | – | – | – | – | 568 | 4,512 | – | 8,871 | 13,951 |
| Institutions | – | – | – | – | – | – | – | 38,032 | – | 1,429 | 39,461 |
| Corporates | – | 2 | 14,995 | 914 | 1,413 | 469 | 9 | 12,326 | 324 | 4,159 | 34,611 |
| Of which SME | – | – | 14,995 | – | – | – | – | – | – | – | 14,995 |
| Retail | – | 9,960 | 3,093 | – | – | – | – | – | – | – | 13,053 |
| Of which SME | – | – | 3,093 | – | – | – | – | – | – | – | 3,093 |
| Secured on real estate property | 5,910 | – | 3,750 | 77 | 50 | 76 | – | 29 | 3 | 524 | 10,419 |
| Of which SME | – | – | 3,750 | – | – | – | – | – | – | – | 3,750 |
| Past due items | 46 | 104 | 203 | 8 | 9 | – | – | 2 | 1 | 25 | 398 |
| Items belonging to regulatory high risk categories |
6 | 150 | 163 | 156 | 136 | 456 | – | 282 | 161 | 534 | 2,044 |
| Equity3 | – | – | – | – | – | – | – | – | – | 1,818 | 1,818 |
| Other items4 | – | 1 | – | – | – | 32 | – | 107 | – | 10,184 | 10,324 |
| Total Standardised | 5,962 | 10,217 | 22,204 | 1,155 | 1,608 | 1,033 | 29,128 | 57,255 | 489 | 34,183 163,234 | |
| Total5 | 77,176 | 36,531 | 31,476 | 31,999 | 52,546 | 13,865 165,553 | 268,346 | 15,761 | 66,469 | 759,722 |
1 Non-credit obligation assets are excluded for 2016
2 Excludes Securitisation exposures
3 Equity holdings are included in other items in 2016
4 Other items include cash, fi xed assets, prepayments and accrued income
5 Refer to Table 31 (CRB-B) for EAD before the effect of CRM
Table 33: Exposure at default by industry (CRB-D) continued
| 2016 | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Loans to Individuals Mortgage \$million |
Loans to Individuals Other \$million |
SME \$million |
Comm erce \$million |
Manu facturing \$million |
Commer cial Real Estate \$million |
Govern ment \$million |
Financing Insurance & Business Services \$million |
Transport & Storage & Communi cation \$million |
Other \$million |
Total \$million |
|
| IRB Exposure Class | |||||||||||
| Central governments or central banks |
– | – | – | – | – | – | 121,219 | 3,988 | 83 | 364 | 125,654 |
| Institutions | – | – | – | – | 21 | – | 204 | 118,903 | – | – | 119,128 |
| Corporates | – | 15 | 8,281 | 28,177 | 46,160 | 8,776 | 576 | 75,043 | 13,161 | 41,628 | 221,817 |
| Of which specialised lending | – | – | 462 | 320 | 424 | 684 | – | 21 | 839 | 3,661 | 6,411 |
| Of which SME | – | – | 7,819 | – | – | – | – | – | – | – | 7,819 |
| Retail | 66,387 | 26,382 | 1,127 | – | – | – | – | – | – | – | 93,896 |
| Secured by real estate collateral |
66,387 | – | 252 | – | – | – | – | – | – | – | 66,639 |
| Of which SME | – | – | 252 | – | – | – | – | – | – | – | 252 |
| Of which Non SME | 66,387 | – | – | – | – | – | – | – | – | – | 66,387 |
| Qualifying revolving retail | – | 15,867 | – | – | – | – | – | – | – | – | 15,867 |
| Other retail | – | 10,515 | 875 | – | – | – | – | – | – | – | 11,390 |
| Of which SME | – | – | 875 | – | – | – | – | – | – | – | 875 |
| Of which Non SME | – | 10,515 | – | – | – | – | – | – | – | – | 10,515 |
| Total IRB1 | 66,387 | 26,397 | 9,408 | 28,177 | 46,181 | 8,776 | 121,999 | 197,934 | 13,244 | 41,992 | 560,495 |
| Standardised Exposure Class | |||||||||||
| Central governments or central banks |
– | – | – | 36 | – | – | 36,490 | 1,691 | – | 6,094 | 44,311 |
| Multilateral development banks | – | – | – | – | – | – | 390 | 4,301 | – | 10,231 | 14,922 |
| Institutions | – | – | – | – | – | – | – | 20,758 | – | 656 | 21,414 |
| Corporates | – | 3 | 13,146 | 1,292 | 1,154 | 725 | 4 | 13,115 | 1,192 | 4,721 | 35,352 |
| Of which SME | – | – | 13,146 | – | – | – | – | – | – | – | 13,146 |
| Retail | – | 8,925 | 3,049 | – | – | – | – | – | – | – | 11,974 |
| Of which SME | – | – | 3,049 | – | – | – | – | – | – | – | 3,049 |
| Secured on real estate property | 6,333 | 1 | 3,233 | 79 | 28 | 66 | – | 7 | 2 | 237 | 9,986 |
| Of which SME | – | – | 3,233 | – | – | – | – | – | – | – | 3,233 |
| Past due items | 65 | 105 | 73 | 9 | 11 | 2 | – | 2 | – | 67 | 334 |
| Items belonging to regulatory high risk categories |
9 | 145 | 469 | 260 | 156 | 407 | – | 313 | 190 | 665 | 2,614 |
| Other items2 | – | – | 45 | – | 11 | 56 | – | 38 | – | 10,007 | 10,157 |
| Total Standardised | 6,407 | 9,179 | 20,015 | 1,676 | 1,360 | 1,256 | 36,884 | 40,225 | 1,384 | 32,678 | 151,064 |
| Total | 72,794 | 35,576 | 29,423 | 29,853 | 47,541 | 10,032 | 158,883 | 238,159 | 14,628 | 74,670 | 711,559 |
1 Excludes Securitisation exposures and Non-credit obligation assets
2 Other items include cash, fi xed assets, prepayments and accrued income and equity
Maturity analysis
The table below shows the Group's exposure on a residual maturity basis. This is consistent with the maturity analysis in the Annual Report and Accounts on page 142 which is based on accounting balances. Approximately 67 per cent (2016: 65 per cent) of the Group's exposure is short term, having residual maturity of one year or less. The portfolio of central government or central banks, institutions and corporates is predominantly short term with 76 per cent (2016: 75 per cent) of EAD having a residual maturity of one year or less. In Retail, the longer maturity profi le of the IRB portfolio is driven by the mortgage book which makes up 72 per cent (2016: 71 per cent) of the portfolio and is traditionally longer term in nature and well secured. Whilst the Other and SME loans in Retail have short contractual maturities, typically they can be renewed and repaid over longer terms in the normal course of business.
Table 34: Exposure at default by maturity (CRB-E)
| 2017 | |||||||
|---|---|---|---|---|---|---|---|
| On demand and one year or less \$million |
One to fi ve years \$million |
Over fi ve years \$million |
Total \$million |
||||
| IRB Exposure Class | |||||||
| Central governments or central banks | 109,420 | 28,547 | 1,291 | 139,258 | |||
| Institutions | 105,701 | 16,826 | 2,517 | 125,044 | |||
| Corporates | 160,738 | 55,558 | 15,321 | 231,617 | |||
| Of which specialised lending | 7,308 | 4,807 | 5,683 | 17,798 | |||
| Of which SME | 4,745 | 1,249 | 828 | 6,822 | |||
| Retail | 9,620 | 19,509 | 70,140 | 99,269 | |||
| Secured by real estate collateral | 1,319 | 1,033 | 69,124 | 71,476 | |||
| Of which SME | 27 | 9 | 226 | 262 | |||
| Of which Non SME | 1,292 | 1,024 | 68,898 | 71,214 | |||
| Qualifying revolving retail | 1,910 | 12,028 | 338 | 14,276 | |||
| Other retail | 6,391 | 6,448 | 678 | 13,517 | |||
| Of which SME | 788 | 579 | 126 | 1,493 | |||
| Of which Non SME | 5,603 | 5,869 | 552 | 12,024 | |||
| Non-credit obligation assets1 | 531 | 481 | 288 | 1,300 | |||
| Total IRB2 | 386,010 | 120,921 | 89,557 | 596,488 | |||
| Standardised Exposure Class | |||||||
| Central governments or central banks | 30,167 | 4,433 | 2,555 | 37,155 | |||
| Multilateral development banks | 3,092 | 9,307 | 1,552 | 13,951 | |||
| Institutions | 34,778 | 3,062 | 1,621 | 39,461 | |||
| Corporates | 30,841 | 2,093 | 1,677 | 34,611 | |||
| Of which SME | 13,428 | 672 | 895 | 14,995 | |||
| Retail | 5,807 | 4,289 | 2,957 | 13,053 | |||
| Of which SME | 876 | 1,089 | 1,128 | 3,093 | |||
| Secured on real estate property | 2,661 | 721 | 7,037 | 10,419 | |||
| Of which SME | 2,369 | 321 | 1,060 | 3,750 | |||
| Past due items | 215 | 41 | 142 | 398 | |||
| Items belonging to regulatory high risk categories | 1,827 | 116 | 101 | 2,044 | |||
| Equity3 | – | – | 1,818 | 1,818 | |||
| Other items4 | 10,221 | 77 | 26 | 10,324 | |||
| Total Standardised | 119,609 | 24,139 | 19,486 | 163,234 | |||
| Total5 | 505,619 | 145,060 | 109,043 | 759,722 |
1 Non-credit obligation assets are excluded for 2016
2 Excludes Securitisation exposures
3 Equity holdings are included under other items in 2016
4 Other items include cash, fi xed assets, prepayments and accrued income
5 Refer to Table 31 (CRB-B) EAD before the effect of CRM
Table 34: Exposure at default by maturity (CRB-E) continued
| 2016 | |||||||
|---|---|---|---|---|---|---|---|
| On demand and one year or less \$million |
One to fi ve years \$million |
Over fi ve years \$million |
Total \$million |
||||
| IRB Exposure Class | |||||||
| Central governments or central banks | 93,577 | 28,752 | 3,325 | 125,654 | |||
| Institutions | 99,771 | 16,491 | 2,866 | 119,128 | |||
| Corporates | 156,302 | 51,666 | 13,849 | 221,817 | |||
| Of which specialised lending | 525 | 2,414 | 3,472 | 6,411 | |||
| Of which SME | 4,961 | 1,895 | 963 | 7,819 | |||
| Retail | 8,392 | 20,247 | 65,258 | 93,896 | |||
| Secured by real estate collateral | 1,593 | 995 | 64,052 | 66,639 | |||
| Of which SME | 24 | 9 | 219 | 252 | |||
| Of which Non SME | 1,569 | 986 | 63,832 | 66,387 | |||
| Qualifying revolving retail | 2,132 | 13,117 | 618 | 15,867 | |||
| Other retail | 4,667 | 6,135 | 588 | 11,390 | |||
| Of which SME | 275 | 492 | 108 | 875 | |||
| Of which Non SME | 4,392 | 5,643 | 480 | 10,515 | |||
| Total IRB1 | 358,042 | 117,156 | 85,299 | 560,495 | |||
| Standardised Exposure Class | |||||||
| Central governments or central banks | 38,163 | 3,588 | 2,560 | 44,311 | |||
| Multilateral development banks | 3,312 | 10,575 | 1,035 | 14,922 | |||
| Institutions | 18,163 | 1,729 | 1,522 | 21,414 | |||
| Corporates | 30,067 | 2,117 | 3,168 | 35,352 | |||
| Of which SME | 11,004 | 568 | 1,574 | 13,146 | |||
| Retail | 4,787 | 4,401 | 2,786 | 11,974 | |||
| Of which SME | 820 | 1,155 | 1,074 | 3,049 | |||
| Secured on real estate property | 1,776 | 665 | 7,545 | 9,986 | |||
| Of which SME | 1,537 | 313 | 1,383 | 3,233 | |||
| Past due items | 43 | 142 | 149 | 334 | |||
| Items belonging to regulatory high risk categories | 2,366 | 103 | 145 | 2,614 | |||
| Other items2 | 8,745 | 28 | 1,384 | 10,157 | |||
| Total Standardised | 107,422 | 23,348 | 20,294 | 151,064 | |||
| Total | 465,464 | 140,504 | 105,592 | 711,559 |
1 Excludes Securitisation exposures and Non-credit obligation assets
2 Other items include cash, fi xed assets, prepayments and accrued income and equity
Credit quality of exposures
Tables 35 to 37 break down defaulted and non-defaulted exposures by exposure class, as defi ned in the CRR, and by industry and geography. Exposure values presented in the tables are before the impact of Credit Conversion Factors (CCF) and funded Credit Risk Mitigation (CRM) but after substitution.
All Standard Chartered accounting provisions are categorised as specifi c credit risk adjustments according to the EBA RTS on specifi cation of the calculation of specifi c and general credit risk adjustments (EBA/ RTS/2013/04). The column for general credit risk adjustments as included in the prescribed templates of the EBA disclosure guidelines has therefore been removed. Net values equate to EAD after deduction of specifi c credit risk adjustments.
Values in Tables 38 to 41 are gross carrying values in accordance with IFRS. Tables 38 to 41 depict past-due exposures, broken down by past-due bands and provide further information on non-performing and forborne exposures.
The 2017 Annual Report and Accounts pages 125 to 137 provide additional information on credit quality analysis.
Table 35: Credit quality of exposures by exposure class and instruments (CR1-A)
| 2017 | |||||
|---|---|---|---|---|---|
| EAD before the effect of CCF & CRM1 Defaulted |
Non-defaulted | Specifi c credit risk |
Of which Credit risk adjustment changes in |
||
| exposures \$million |
exposures \$million |
adjustment \$million |
the period \$million |
Net values \$million |
|
| IRB Exposure Class | |||||
| Central governments or central banks | – | 310,851 | – | – | 310,851 |
| Institutions | 51 | 256,889 | 3 | 2 | 256,937 |
| Corporates | 10,579 | 403,087 | 4,616 | 1,142 | 409,050 |
| Of which specialised lending | 1,080 | 30,022 | 585 | 25 | 30,517 |
| Of which SME | 706 | 9,363 | 241 | 180 | 9,828 |
| Retail | 630 | 114,915 | 73 | 49 | 115,472 |
| Secured by real estate collateral | 205 | 71,289 | 34 | 21 | 71,460 |
| Of which SME | 3 | 263 | – | – | 266 |
| Of which Non SME | 202 | 71,026 | 34 | 21 | 71,194 |
| Qualifying revolving retail | 154 | 27,845 | 1 | 1 | 27,998 |
| Other retail | 271 | 15,781 | 38 | 27 | 16,014 |
| Of which SME | 76 | 2,223 | 20 | 16 | 2,279 |
| Of which Non SME | 195 | 13,558 | 18 | 11 | 13,735 |
| Non-credit obligation assets | 48 | 1,252 | – | – | 1,300 |
| Total IRB2 | 11,308 | 1,086,994 | 4,692 | 1,193 | 1,093,610 |
| Standardised Exposure Class | |||||
| Central governments or central banks | – | 112,244 | – | – | 112,244 |
| Multilateral development banks | – | 21,122 | – | – | 21,122 |
| Institutions | – | 40,747 | – | – | 40,747 |
| Corporates | 828 | 60,440 | 1,126 | 467 | 60,142 |
| Of which SME | 364 | 36,506 | 189 | 125 | 36,681 |
| Retail | 272 | 21,045 | 163 | 113 | 21,154 |
| Of which SME | 79 | 4,537 | 56 | 36 | 4,560 |
| Secured on real estate property | 105 | 10,840 | 53 | 32 | 10,892 |
| Of which SME | 17 | 3,949 | 8 | 3 | 3,958 |
| Items belonging to regulatory high risk categories | 693 | 1,658 | 22 | 9 | 2,329 |
| Equity | – | 1,818 | – | – | 1,818 |
| Other items3 | – | 10,422 | – | – | 10,422 |
| Total Standardised | 1,898 | 280,336 | 1,364 | 621 | 280,870 |
| Of which past due items | 1,898 | – | 821 | 602 | 1,077 |
| Total4 | 13,206 | 1,367,330 | 6,056 | 1,814 | 1,374,480 |
| Of which Loans | 9,401 | 292,542 | 5,674 | 1,815 | 296,269 |
| Of which Debt securities | 450 | 107,983 | 201 | 19 | 108,232 |
| Of which Off-balance-sheet exposures | 2,777 | 697,489 | 110 | (23) | 700,156 |
1 EAD before the effect of credit conversion factor and collateral but after substitution
2 Excludes Securitisation exposures
3 Other items include cash, fi xed assets, prepayments and accrued income
4 Amount written off during the year is \$2,247 million
Table 36: Credit quality of exposures by industry types (CR1-B)
| 2017 | |||||
|---|---|---|---|---|---|
| EAD before the effect of CCF & CRM1 Defaulted exposures \$million |
Non-defaulted exposures \$million |
Specifi c credit risk adjustment \$million |
Of which Credit risk adjustment changes in the period \$million |
Net values \$million |
|
| Loans to individuals mortgage | 290 | 77,129 | 75 | 48 | 77,344 |
| Loans to individuals other | 746 | 58,069 | 137 | 88 | 58,678 |
| SME | 1,607 | 57,656 | 532 | 414 | 58,731 |
| Commerce | 1,540 | 67,522 | 1,014 | 183 | 68,048 |
| Manufacturing | 3,159 | 105,610 | 1,846 | 327 | 106,923 |
| Commercial real estate | 544 | 18,260 | 12 | 7 | 18,792 |
| Government | 4 | 412,307 | – | – | 412,311 |
| Financing Insurance and business services | 1,055 | 448,638 | 208 | 88 | 449,485 |
| Transport, storage and communication | 980 | 27,739 | 450 | 200 | 28,269 |
| Other | 3,281 | 94,400 | 1,782 | 459 | 95,899 |
| Total2, 3 | 13,206 | 1,367,330 | 6,056 | 1,814 | 1,374,480 |
1 EAD before the effect of credit conversion factor and collateral but after substitution
2 Refer to Table 35 (CR1-A) for Total Net Values
3 Amount written off during the year is \$2,247 million
Table 37: Credit quality of exposures by geography (CR1-C)
| EAD before the effect of CCF & CRM1 | Of which Credit risk |
||||
|---|---|---|---|---|---|
| Specifi c Defaulted Non-defaulted credit risk exposures exposures adjustment \$million \$million \$million |
adjustment changes in the period \$million |
Net values \$million |
|||
| Greater China and North Asia | 1,467 | 466,838 | 415 | 140 | 467,890 |
| ASEAN and South Asia | 5,699 | 270,746 | 3,168 | 1,051 | 273,277 |
| Africa and Middle East | 4,744 | 142,822 | 1,970 | 395 | 145,596 |
| Europe and Americas | 1,296 | 486,924 | 503 | 228 | 487,717 |
| Total2, 3 | 13,206 | 1,367,330 | 6,056 | 1,814 | 1,374,480 |
1 EAD before the effect of credit conversion factor and collateral but after substitution
2 Refer to Table 35 (CR1-A) for Total Net Values
3 Amount written off during the year is \$2,247 million
Table 38: Aging of past-due exposures (CR1-D)
| 2017 | ||||||
|---|---|---|---|---|---|---|
| Gross carrying values | ||||||
| ≤ 30 days \$million |
> 30 days ≤ 60 days \$million |
> 60 days ≤ 90 days \$million |
> 90 days ≤ 180 days \$million |
> 180 days ≤ 1 year \$million |
> 1 year \$million |
|
| Loans | 3,414 | 424 | 4,243 | 851 | 5,921 | 151 |
| Debt securities | – | – | 459 | – | 2 | – |
| Total | 3,414 | 424 | 4,702 | 851 | 5,923 | 151 |
Table 39: Non-performing and forborne exposures (CR1-E)
| 2017 | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Gross carrying values of performing and non-performing exposures |
Accumulated impairment and provisions and negative fair value adjustments due to credit risk |
Collaterals and fi nancial guarantees received |
||||||||||||
| Of which perfor ming but past due > 30 days and ≤ 90 days \$million |
Of which non-performing | On performing exposures |
On non-performing exposures |
|||||||||||
| \$million | Of which perfor ming forborne \$million |
\$million | Of which defaulted \$million |
Of which impaired \$million |
Of which forborne \$million |
\$million | Of which forborne \$million |
\$million | Of which forborne \$million |
On non perfor ming exposures \$million |
Of which forborne exposures \$million |
|||
| Loans and advances 379,578 | 722 | 1,013 | 10,867 | 10,867 | 10,670 | 3,468 | (467) | (9) | (5,868) | (1,789) | 2,763 | 916 | ||
| Debt securities | 119,167 | – | – | 461 | 461 | 354 | 2 | – | – | (378) | – | – | – | |
| Off-balance sheet exposures |
225,344 | N/A | – | 514 | 482 | N/A | – | – | – | 83 | – | – | – |
Table 40: Changes in the stock of general and specifi c credit risk adjustments (CR2-A)
| 2017 | ||
|---|---|---|
| Accumulated specifi c credit risk adjustment \$million |
Accumulated general credit risk adjustment \$million |
|
| Opening balance | 7,043 | 737 |
| Increases due to amounts set aside for estimated loan losses during the period | 2,338 | 64 |
| Decreases due to amounts reversed for estimated loan losses during the period | (950) | (9) |
| Decreases due to amounts taken against accumulated credit risk adjustments | (1,756) | (296) |
| Transfers between credit risk adjustments | (189) | – |
| Impact of exchange rate differences | – | – |
| Business combinations, including acquisitions and disposals of subsidiaries | – | – |
| Other adjustments | (287) | 18 |
| Closing balance | 6,199 | 514 |
| Recoveries on credit risk adjustments recorded directly to the statement of profi t or loss | (652) | (296) |
| Specifi c credit risk adjustments directly recorded to the statement of profi t or loss | 2,257 | 57 |
Table 41: Changes in the stock of defaulted and impaired loans and debt securities (CR2-B)
| 2017 | |
|---|---|
| Gross carrying value of defaulted exposures \$million |
|
| Opening balance | 11,342 |
| Loans and debt securities that have defaulted or impaired since the last reporting period | 3,181 |
| Returned to non-defaulted status | (55) |
| Amounts written off | (2,247) |
| Other changes | (1,933) |
| Closing balance | 10,288 |
3.5 Regulatory expected loss vs. impairment charge
Details of impaired exposures, individual impairment provision and portfolio impairment provision are set out in the Risk profi le section of the 2017 Annual Report and Accounts on pages 133 to 137.
The table below compares the regulatory expected loss at 1 January 2017 against the net impairment charge in the 2017 Annual Report and Account, for the IRB portfolio.
Regulatory expected loss is based on a through-the-cycle methodology using risk parameters and observations over a period of time. It is a conservative and appropriately prudent calculation underpinning regulatory capital requirements, but does not take account of any benefi t from management actions to reduce exposures to riskier customers, clients or segments as conditions deteriorate.
Regulatory expected loss therefore bears little resemblance to impairment as defi ned for
accounting purposes. This is illustrated by the table below which shows expected loss consistently higher than impairment.
The net individual impairment charge is a point in time actual charge raised in accordance with accounting standards that require the Group to either provide for or write-off debts when certain conditions are met as described in the problem credit management and provisioning section of the Risk profi le section of the 2017 Annual Report and Accounts on pages 133 to 137.
Table 42: Regulatory expected loss
| 1 January 2017 |
31 December 2017 |
1 January 2016 |
31 December 2016 |
|
|---|---|---|---|---|
| Regulatory expected loss \$million |
Net impairment charge1 \$million |
Regulatory expected loss \$million |
Net impairment charge1 \$million |
|
| IRB Exposure Class | ||||
| Central governments or central banks | 90 | – | 93 | – |
| Institutions | 236 | 2 | 228 | 79 |
| Corporates | 5,647 | 1,142 | 5,929 | 2,298 |
| Retail, of which | 785 | 49 | 971 | 89 |
| Secured by real estate collateral | 51 | 21 | 49 | 21 |
| Qualifying revolving retail | 292 | 1 | 335 | 18 |
| Retail SME | 27 | 16 | 34 | 9 |
| Other retail | 415 | 11 | 553 | 41 |
| Total IRB | 6,758 | 1,193 | 7,221 | 2,467 |
1 Net impairment charge includes individual impairment charge
Expected loss reduced by \$0.5 billion refl ecting the changes to the Group's risk profi le. Impairment charges reduced by \$1.3 billion, or 53 per cent, as a result of actions taken by the Group to meet the target risk profi le.
3.6 Risk grade profi le
Exposures by internal credit grading
For CIB and CB IRB portfolios an alphanumeric credit risk-grading system is used. The grading is based on the Group's internal estimate of probability of default over a one-year horizon, with customers or portfolios assessed against a range of quantitative and qualitative factors. The numeric grades run from 1 to 14 and some of the grades are further sub-classifi ed. Numerically lower credit grades are indicative of a lower likelihood of default. Credit grades 1 to 12 are assigned to performing customers and credit grades 13 and 14 are assigned to non-performing or defaulted customers. The Group's credit grades in CIB and CB are not intended to replicate external credit grades, and ratings assigned by external credit assessment institutions (ECAI) are not used in determining internal credit grades.
Nonetheless, as the factors used to grade a borrower may be similar, a borrower rated poorly by an ECAI is typically expected to be assigned a weak internal credit grade.
For Retail exposures, models generate individual PDs which are used to estimate RWA and an alphanumeric credit risk-grading system is used only for reporting purposes.
IRB models cover a substantial majority of the Group's exposures and are used extensively in assessing risks at customer and portfolio level, setting strategy and optimising the Group's risk-return decisions.
The Group makes use of internal risk estimates of PD, LGD and EAD in the areas of:
- ¼ Credit Approval and Decision The level of authority required for the sanctioning of credit requests and the decision made is based on a combination of PD, LGD and EAD of the obligor with reference to the nominal exposure
- ¼ Pricing In CIB and CB, a pre-deal pricing calculator, which takes into consideration PD, LGD and EAD in the calculation of expected loss and risk-weighted assets, is used for the proposed transactions to ensure appropriate returns. In Retail, a standard approach to risk-return assessment is used to assess the risk using PD, LGD and EAD against the expected income for pricing and risk decisions
- ¼ Limit Setting In CIB and CB, single name concentration limits are determined by PD, LGD and EAD. The limits operate on a sliding scale to ensure that the Group does not have an excessive concentration of low credit quality assets. In Retail, the estimates of PD, LGD and EAD are used in the credit underwriting and portfolio management actions such as credit line increase/decrease and top-up for instalment loans
- ¼ Provisioning Portfolio Impairment Provisions (PIP) are raised at the portfolio level and are set with reference to expected loss which is based on PD, LGD and EAD
Table 43: Exposure weighted average PD% and LGD% by geography
| 2017 | |||||
|---|---|---|---|---|---|
| Greater China & North Asia1 % |
ASEAN & South Asia1 % |
Africa & Middle East1 % |
Europe & America1 % |
Total % |
|
| Exposure weighted average PD% | |||||
| Central governments or central banks | 0.02 | 0.13 | 1.42 | – | 0.19 |
| Institutions | 0.06 | 0.29 | 0.60 | 0.14 | 0.18 |
| Corporates | 1.97 | 8.66 | 8.69 | 1.31 | 4.36 |
| Of which Specialised lending | 5.14 | 7.31 | 14.02 | 1.08 | 7.24 |
| Of which SME | 5.97 | 14.68 | 20.82 | 0.58 | 10.16 |
| Retail | 0.85 | 2.71 | 7.69 | 2.27 | 1.40 |
| Of which secured by real estate property | 0.32 | 1.46 | – | – | 0.62 |
| Of which qualifying revolving retail | 1.08 | 5.83 | 7.66 | 0.81 | 2.60 |
| Of which SME | 4.67 | 9.83 | – | – | 7.28 |
| Total IRB | 0.73 | 4.30 | 5.41 | 0.74 | 2.00 |
| Exposure weighted average LGD% | |||||
| Central governments or central banks | 42 | 43 | 43 | 46 | 43 |
| Institutions | 41 | 35 | 36 | 28 | 35 |
| Corporates | 38 | 39 | 36 | 32 | 36 |
| Of which Specialised lending | 27 | 37 | 32 | 36 | 34 |
| Of which SME | 24 | 41 | 46 | 63 | 34 |
| Retail | 32 | 29 | 91 | 92 | 32 |
| Of which secured by real estate property | 11 | 14 | – | – | 12 |
| Of which qualifying revolving retail | 88 | 75 | 85 | 90 | 84 |
| Of which SME | 78 | 46 | 36 | – | 62 |
| Total IRB | 38 | 37 | 38 | 34 | 37 |
| 2016 | |||||
|---|---|---|---|---|---|
| Greater China & North Asia1 % |
ASEAN & South Asia1 % |
Africa & Middle East1 % |
Europe & America1 % |
Total % |
|
| Exposure weighted average PD% | |||||
| Central governments or central banks | 0.02 | 0.13 | 1.11 | 0.03 | 0.16 |
| Institutions | 0.08 | 1.12 | 1.38 | 0.25 | 0.39 |
| Corporates | 2.80 | 8.46 | 12.26 | 2.89 | 4.90 |
| Of which Specialised lending | 0.67 | 23.49 | 0.90 | 5.17 | 7.52 |
| Of which SME | 5.47 | 12.88 | 30.20 | 5.02 | 9.87 |
| Retail | 0.95 | 2.75 | 6.88 | – | 1.47 |
| Of which secured by real estate property | 0.35 | 1.36 | – | – | 0.61 |
| Of which qualifying revolving retail | 1.10 | 5.59 | 7.54 | – | 2.53 |
| Of which SME | 4.47 | 6.87 | – | – | 5.20 |
| Total IRB | 0.94 | 4.18 | 7.15 | 1.70 | 2.30 |
| Exposure weighted average LGD% | |||||
| Central governments or central banks | 45 | 46 | 46 | 42 | 45 |
| Institutions | 25 | 26 | 31 | 19 | 23 |
| Corporates | 37 | 40 | 43 | 32 | 36 |
| Of which Specialised lending | 19 | 33 | 25 | 28 | 27 |
| Of which SME | 25 | 42 | 41 | 61 | 36 |
| Retail | 33 | 31 | 97 | – | 34 |
| Of which secured by real estate property | 12 | 15 | – | – | 12 |
| Of which qualifying revolving retail | 90 | 77 | 100 | – | 87 |
| Of which SME | 80 | 66 | – | – | 76 |
| Total IRB | 36 | 37 | 44 | 30 | 35 |
1 The regional split is based on the residence of the counterparty
Institutions exposure weighted LGD increased to 35 per cent in 2017 due to PRA approved IRB model changes in relating to LGD fl oors.
Table 44 sets out credit and counterparty risk EAD within the IRB portfolios by regulatory exposure classes. EAD has been calculated after taking into account the impact of credit risk mitigation. Where an exposure is guaranteed or covered by credit derivatives, it is shown against the exposure class of the guarantor or derivative issuer. A further split of the major exposure classes by credit grade can be seen in Tables 46 to 54.
IRB credit risk excluding counterparty credit risk EAD increased by \$21.5 billion and RWAs increased by \$12.3 billion (Tables 44 to 54):
- ¼ Central governments and central banks EAD increased \$3.1 billion and RWA increased by \$2 billion driven by an increase in bills exposures mainly in GCNA
- ¼ Institutions EAD increased \$4.9 billion due to increase in bond and trade exposures in GCNA partially offset by decreases in exposures in Europe and Americas. RWAs increased \$6 billion due to PRA approved IRB model changes relating to LGD fl oors
- ¼ IRB corporates EAD increased \$7.5 billion and RWA increased \$2.8 billion across multiple product lines, principally in GCNA and ASEAN offset by reductions in exposures in Europe and Americas
- ¼ IRB retail exposures EAD increased \$5.4 billion and RWA increased \$1.8 billion mainly due to increases in residential mortgages within ASEAN and GCNA
Table 44: IRB – Credit risk exposure by exposure class
| 2017 | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Original on balance sheet gross exposure \$million |
Off balance sheet exposure pre CCF \$million |
Average CCF % |
EAD post CRM and post CCF \$million |
Average PD1 % |
Number of obligors2 thousands |
Average LGD1 % |
Average maturity1 Days |
RWA \$million |
RWA density1 % |
EL \$million |
Value adjust ments and provisions \$million |
|
| IRB Exposure Class | ||||||||||||
| Central governments or central banks |
118,102 | 172,582 | 1 122,098 | 0.21 | – | 47 | 497 | 20,655 | 17 | 117 | – | |
| Institutions | 71,836 138,296 | 5 | 78,420 | 0.23 | 2 | 44 | 318 | 19,309 | 25 | 74 | 3 | |
| Corporates | 116,510 | 235,187 | 22 | 167,640 | 5.90 | 51 | 42 | 548 | 94,348 | 56 | 5,005 | 4,726 |
| Of which specialised lending3 |
16,150 | 16,679 | 18 | 16,119 | 7.89 | 1 | 33 | 837 | 9,823 | 61 | 638 | 585 |
| Of which SME | 5,983 | 4,312 | 24 | 6,276 | 11.01 | 36 | 31 | 541 | 3,858 | 61 | 275 | 241 |
| Retail | 82,621 | 32,934 | 51 | 99,269 | 1.40 | 3,994 | 32 | 20,990 | 21 | 714 | 73 | |
| Of which secured by real estate |
69,334 | 2,162 | 99 | 71,476 | 0.62 | 364 | 12 | 4,953 | 7 | 57 | 34 | |
| – SME | 259 | 10 | 59 | 262 | 3.38 | 1 | – | – | – | – | – | |
| – Non SME | 69,075 | 2,152 | 99 | 71,214 | 0.61 | 363 | 12 | 4,953 | 7 | 57 | 34 | |
| Of which qualifying revolving retail |
3,210 | 24,788 | 45 | 14,276 | 2.60 | 3,099 | 84 | 4,339 | 30 | 254 | 1 | |
| Of which other retail | 10,077 | 5,984 | 58 | 13,517 | 4.21 | 531 | 80 | 11,698 | 87 | 403 | 38 | |
| – SME | 1,457 | 851 | 5 | 1,493 | 7.28 | 9 | 62 | 1,020 | 68 | 47 | 20 | |
| – Non SME | 8,620 | 5,133 | 66 | 12,024 | 3.83 | 522 | 82 | 10,678 | 89 | 356 | 18 | |
| Non-credit obligation assets |
1,300 | – | – | 1,300 | – | 1,300 | 100 | – | ||||
| Total IRB4 | 390,369 578,999 | 13 468,727 | 2.49 | 4,047 | 41 | 382 156,602 | 33 | 5,910 | 4,802 |
1 Weighted averages are based on exposure at default
2 Number of obligors is based on number of counterparties for central governments or central banks, institutions and corporates and on individual pools of clients for retail
3 Includes exposures for specialised lending subject to supervisory slotting criteria
4 Refer to Table 12 (OV1) for RWA
Table 44: IRB – Credit risk exposure by exposure class continued
| 2016 | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Original on-balance sheet gross exposure \$million |
Off balance sheet exposure pre CCF \$million |
Average CCF % |
EAD post CRM and post CCF \$million |
Average PD1 % |
Number of obligors2 thousands |
Average LGD1 % |
Average maturity1 Days |
RWA \$million |
RWA density1 % |
EL \$million |
Value adjust ments and provisions \$million |
|
| IRB Exposure Class | ||||||||||||
| Central governments or central banks |
113,047 | 176,993 | 1 | 118,962 | 0.16 | – | 46 | 515 | 18,577 | 16 | 89 | – |
| Institutions | 66,688 | 197,754 | 3 | 73,447 | 0.56 | 2 | 28 | 330 | 14,177 | 19 | 228 | 169 |
| Corporates | 112,797 | 235,285 | 21 | 160,129 | 11.03 | 61 | 33 | 574 | 91,573 | 57 | 5,576 | 5,221 |
| Of which specialised lending3 |
6,304 | 2,644 | 27 | 5,272 | 9.18 | – | 28 | 1,326 | 3,815 | 72 | 195 | 152 |
| Of which SME | 6,358 | 4,947 | 25 | 6,968 | 11.03 | 45 | 33 | 574 | 4,499 | 65 | 304 | 288 |
| Retail | 75,734 | 31,205 | 58 | 93,895 | 1.47 | 4,257 | 34 | 19,202 | 20 | 785 | 64 | |
| Of which secured by real estate |
64,220 | 2,450 | 99 | 66,639 | 0.61 | 365 | 12 | 4,467 | 7 | 51 | 29 | |
| – SME | 250 | 6 | 64 | 252 | 2.86 | 1 | – | – | – | – | – | |
| – Non SME | 63,970 | 2,444 | 99 | 66,387 | 0.60 | 364 | 13 | 4,467 | 7 | 51 | 29 | |
| Of which qualifying revolving retail |
3,242 | 23,589 | 54 | 15,866 | 2.53 | 3,301 | 87 | 4,907 | 31 | 292 | 3 | |
| Of which other retail | 8,272 | 5,166 | 60 | 11,390 | 5.05 | 591 | 83 | 9,828 | 86 | 442 | 32 | |
| – SME | 855 | 404 | 6 | 875 | 5.20 | 5 | 76 | 593 | 68 | 27 | 15 | |
| – Non SME | 7,417 | 4,762 | 65 | 10,515 | 5.03 | 568 | 84 | 9,235 | 88 | 415 | 17 | |
| Non-credit obligation assets |
788 | – | – | 788 | – | 788 | 100 | – | ||||
| Total IRB | 369,054 | 641,237 | 12 | 447,221 | 2.84 | 4,320 | 39 | 379 | 144,317 | 32 | 6,678 | 5,454 |
1 Weighted averages are based on exposure at default
2 Number of obligors is based on number of counterparties for central governments or central banks, institutions and corporates and on individual pools of clients for retail
3 Includes exposures for specialised lending subject to supervisory slotting criteria
The table below demonstrates Standard Chartered's internal ratings and its approximate relation to external credit ratings.
Tables 46 to 54 and tables 67 to 71 provide further detail on the exposure classes subject to credit and counterparty credit risk, in particular for central governments or central banks, institutions, corporates and retail. These have been split by internal credit grade which relate to the PD ranges presented. These exposure classes represent 79 per cent (2016: 79 per cent) of the Group's total credit risk exposure before collateral.
Table 45: Internal default grade probabilities and mapping to external ratings
| Standard & Poor's external rating equivalent for sovereigns and |
Standard & Poor's external rating equivalent |
||
|---|---|---|---|
| Internal ratings | PD range (%) | institutions | for corporates |
| 1A | 0.000 – 0.015 | AAA/AA+ | AAA/AA+ |
| 1B | 0.016 – 0.025 | AA | AA |
| 2A | 0.026 – 0.035 | AA- | AA/AA |
| 2B | 0.036 – 0.045 | A+ | AA |
| 3A | 0.046 – 0.060 | A | A+ |
| 3B | 0.061 – 0.083 | A-/BBB+ | A |
| 4A | 0.084 – 0.110 | BBB | A |
| 4B | 0.111 – 0.170 | BBB/BBB- | BBB+ |
| 5A | 0.171 – 0.300 | BBB- | BBB |
| 5B | 0.301 – 0.425 | BB+ | BBB-/BB+ |
| 6A | 0.426 – 0.585 | BB+/BB | BB+/BB |
| 6B | 0.586 – 0.770 | BB | BB |
| 7A | 0.771 – 1.020 | BB/BB- | BB/BB |
| 7B | 1.021 – 1.350 | BB- | BB |
| 8A | 1.351 – 1.750 | BB-/B+ | BB-/B+ |
| 8B | 1.751 – 2.350 | B+ | B+ |
| 9A | 2.351 – 3.050 | B | B+ |
| 9B | 3.051 – 4.000 | B/B- | B+/B |
| 10A | 4.001 – 5.300 | B- | B |
| 10B | 5.301 – 7.000 | B- | B/B |
| 11A/B/C | 7.001 – 15.750 | B-/CCC/C | B-/CCC/C |
| 12A/B/C | 15.751 – 99.999 | CCC/C | CCC/C |
| 13 | 100 | N/A | N/A |
| 14 | 100 | N/A | N/A |
| Unrated | N/A | N/A |
Table 46: IRB credit risk exposure by internal PD grade for central governments or central banks (CR6)
| 2017 | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| PD range % |
Original on balance sheet exposure \$million |
Off balance sheet exposure pre CCF \$million |
Average CCF % |
EAD post CRM and post CCF \$million |
Average PD1 % |
Number of obligors2 thousands |
Average LGD1 % |
Average maturity1 Days |
RWA \$million |
RWA density1 % |
Expected Loss \$million |
Value adjust ments and provisions \$million |
| 0.00 to <0.15 | 101,220 146,058 | 2 | 105,471 | 0.02 | 147 | 47 | 495 | 7,600 | 7 | 9 | ||
| 0.15 to <0.25 | 6,104 | 8,076 | – | 6,133 | 0.22 | 14 | 46 | 657 | 2,680 | 44 | 6 | |
| 0.25 to <0.50 | 246 | 2,572 | – | 396 | 0.39 | 11 | 46 | 786 | 251 | 63 | 1 | |
| 0.50 to <0.75 | 1,030 | – | – | 1,030 | 0.67 | 5 | 46 | 416 | 712 | 69 | 3 | |
| 0.75 to <2.50 | 8,501 | 14,460 | 1 | 8,061 | 1.45 | 65 | 47 | 402 | 7,575 | 94 | 54 | |
| 2.50 to <10.00 | 482 | 819 | 1 | 485 | 4.89 | 21 | 46 | 393 | 693 | 143 | 11 | |
| 10.00 to <100.00 | 519 | 597 | – | 522 | 13.77 | 11 | 46 | 395 | 1,144 | 219 | 33 | |
| 100.00 (default) | – | – | – | – | – | – | – | – | – | – | – | |
| Total | 118,102 | 172,582 | 1 122,098 | 0.21 | 274 | 47 | 497 | 20,655 | 17 | 117 | – |
| PD range % |
Original on balance sheet exposure \$million |
Off balance sheet exposure pre CCF \$million |
Average CCF % |
EAD post CRM and post CCF \$million |
Average PD1 % |
Number of obligors2 thousands |
Average LGD1 % |
Average maturity1 Days |
RWA \$million |
RWA density1 % |
Expected Loss \$million |
Value adjust ments and provisions \$million |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.00 to <0.15 | 98,605 | 155,656 | 1 | 104,112 | 0.02 | 239 | 46 | 511 | 7,640 | 7 | 9 | |
| 0.15 to <0.25 | 5,864 | 5,158 | 1 | 6,211 | 0.22 | 16 | 46 | 757 | 2,869 | 46 | 6 | |
| 0.25 to <0.50 | 350 | 4,866 | – | 350 | 0.39 | 14 | 46 | 370 | 175 | 50 | 1 | |
| 0.50 to <0.75 | 1,026 | – | – | 1,026 | 0.67 | 5 | 46 | 451 | 718 | 70 | 3 | |
| 0.75 to <2.50 | 6,599 | 10,041 | 1 | 6,645 | 1.48 | 63 | 46 | 384 | 6,092 | 92 | 45 | |
| 2.50 to <10.00 | 342 | 909 | 1 | 356 | 5.16 | 25 | 46 | 363 | 511 | 143 | 8 | |
| 10.00 to <100.00 | 261 | 363 | – | 262 | 13.77 | 8 | 46 | 373 | 572 | 218 | 17 | |
| 100.00 (default) | – | – | – | – | – | – | – | – | – | – | – | |
| Total | 113,047 | 176,993 | 1 | 118,962 | 0.16 | 370 | 46 | 515 | 18,577 | 16 | 89 | – |
2016
1 Weighted averages are based on exposure at default
Table 47: IRB credit risk exposure by internal PD grade for institutions (CR6)
| 2017 | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| PD range % |
Original on balance sheet exposure \$million |
Off balance sheet exposure pre CCF \$million |
Average CCF % |
EAD post CRM and post CCF \$million |
Average PD1 % |
Number of obligors2 thousands |
Average LGD1 % |
Average maturity1 Days |
RWA \$million |
RWA density1 % |
Expected Loss \$million |
Value adjust ments and provisions \$million |
| 0.00 to <0.15 | 53,259 | 102,704 | 4 | 61,592 | 0.04 | 730 | 45 | 340 | 8,015 | 13 | 12 | |
| 0.15 to <0.25 | 3,740 | 9,376 | 4 | 4,103 | 0.22 | 130 | 43 | 362 | 1,792 | 44 | 4 | |
| 0.25 to <0.50 | 8,078 | 11,747 | 3 | 6,496 | 0.42 | 187 | 42 | 222 | 3,651 | 56 | 12 | |
| 0.50 to <0.75 | 1,395 | 2,072 | 4 | 1,253 | 0.69 | 52 | 31 | 227 | 650 | 52 | 3 | |
| 0.75 to <2.50 | 4,890 | 11,444 | 12 | 4,554 | 1.58 | 430 | 44 | 147 | 4,753 | 104 | 32 | |
| 2.50 to <10.00 | 402 | 680 | 7 | 365 | 3.94 | 56 | 24 | 246 | 295 | 81 | 4 | |
| 10.00 to <100.00 | 69 | 268 | 5 | 53 | 28.79 | 46 | 42 | 286 | 153 | 287 | 4 | |
| 100.00 (default) | 3 | 5 | 8 | 4 | 100.00 | 4 | 46 | 1 | – | – | 3 | |
| Total | 71,836 138,296 | 5 | 78,420 | 0.23 | 1,635 | 44 | 318 | 19,309 | 25 | 74 | 3 |
| 2016 | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Original | Off | |||||||||||
| on | balance | Value | ||||||||||
| balance | sheet | EAD post | adjust | |||||||||
| sheet | exposure | Average | CRM and | Average | Number of | Average | Average | RWA | Expected | ments and | ||
| PD range | exposure | pre CCF | CCF | post CCF | PD1 | obligors2 | LGD1 | maturity1 | RWA | density1 | Loss | provisions |
| % | \$million | \$million | % | \$million | % | thousands | % | Days | \$million | % | \$million | \$million |
| 0.00 to <0.15 | 47,326 | 158,138 | 2 | 55,604 | 0.05 | 786 | 25 | 359 | 4,386 | 8 | 8 | |
| 0.15 to <0.25 | 4,611 | 10,590 | 3 | 4,512 | 0.22 | 160 | 33 | 315 | 1,348 | 30 | 3 | |
| 0.25 to <0.50 | 9,476 | 14,790 | 2 | 7,725 | 0.41 | 216 | 35 | 240 | 3,621 | 47 | 11 | |
| 0.50 to <0.75 | 1,415 | 2,353 | 3 | 1,320 | 0.68 | 67 | 32 | 202 | 710 | 54 | 3 | |
| 0.75 to <2.50 | 3,287 | 10,685 | 14 | 3,608 | 1.60 | 420 | 39 | 128 | 3,303 | 92 | 23 | |
| 2.50 to <10.00 | 287 | 1,047 | 11 | 362 | 4.76 | 78 | 24 | 475 | 326 | 90 | 4 | |
| 10.00 to <100.00 | 117 | 150 | 31 | 145 | 61.05 | 51 | 38 | 192 | 483 | 333 | 7 | |
| 100.00 (default) | 169 | 1 | 100 | 171 | 100.00 | 7 | 41 | 354 | – | – | 169 | |
| Total | 66,688 | 197,754 | 3 | 73,447 | 0.56 | 1,785 | 28 | 330 | 14,177 | 19 | 228 | 169 |
1 Weighted averages are based on exposure at default
Table 48: IRB credit risk exposure by internal PD grade for corporates (CR6)
| 2017 | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| PD range % |
Original on balance sheet exposure \$million |
Off balance sheet exposure pre CCF \$million |
Average CCF % |
EAD post CRM and post CCF \$million |
Average PD1 % |
Number of obligors2 thousands |
Average LGD1 % |
Average maturity1 Days |
RWA \$million |
RWA density1 % |
Expected Loss \$million |
Value adjust ments and provisions \$million |
| 0.00 to <0.15 | 28,989 | 91,479 | 21 | 58,216 | 0.08 | 2,729 | 46 | 543 | 12,897 | 22 | 21 | |
| 0.15 to <0.25 | 13,364 | 38,568 | 22 | 20,561 | 0.22 | 2,006 | 45 | 530 | 8,122 | 39 | 20 | |
| 0.25 to <0.50 | 17,815 | 39,553 | 22 | 24,877 | 0.44 | 2,398 | 40 | 600 | 13,297 | 53 | 46 | |
| 0.50 to <0.75 | 6,545 | 13,142 | 25 | 9,653 | 0.68 | 1,581 | 41 | 513 | 6,250 | 65 | 27 | |
| 0.75 to <2.50 | 26,843 | 37,982 | 25 | 32,399 | 1.50 | 28,910 | 35 | 596 | 24,663 | 76 | 177 | |
| 2.50 to <10.00 | 9,381 | 8,671 | 24 | 9,115 | 5.29 | 5,906 | 36 | 438 | 10,482 | 115 | 172 | |
| 10.00 to <100.00 | 5,022 | 3,141 | 34 | 4,478 | 46.03 | 2,092 | 37 | 528 | 11,819 | 264 | 310 | |
| 100.00 (default) | 6,797 | 2,110 | 9 | 6,494 | 100.00 | 5,097 | 53 | 427 | 5,314 | 82 | 4,217 | |
| Total | 114,756 234,646 | 22 | 165,793 | 5.90 | 50,719 | 42 | 548 | 92,844 | 56 | 4,990 | 4,726 |
| Original Off on balance balance sheet EAD post sheet exposure Average CRM and Average Number of Average Average PD range exposure pre CCF CCF post CCF PD1 obligors2 LGD1 maturity1 RWA |
RWA density1 % |
Expected Loss |
Value adjust ments and |
|---|---|---|---|
| % \$million \$million % \$million % thousands % Days \$million |
\$million | provisions \$million |
|
| 0.00 to <0.15 27,651 101,843 19 54,685 0.08 3,329 42 491 10,510 |
19 | 20 | |
| 0.15 to <0.25 9,728 29,228 22 16,228 0.22 2,078 44 532 5,874 |
36 | 16 | |
| 0.25 to <0.50 14,933 36,930 19 21,302 0.44 5,350 38 539 10,107 |
47 | 35 | |
| 0.50 to <0.75 7,576 13,413 23 10,488 0.68 10,735 39 562 6,191 |
59 | 27 | |
| 0.75 to <2.50 26,708 39,395 24 32,340 1.54 24,856 38 554 24,456 |
76 | 176 | |
| 2.50 to <10.00 12,083 9,601 25 11,459 5.20 7,453 41 430 13,863 |
121 | 228 | |
| 10.00 to <100.00 5,589 2,668 19 4,759 35.10 2,030 41 701 10,326 |
217 | 357 | |
| 100.00 (default) 7,439 1,707 – 7,631 100.00 4,960 56 469 9,261 |
121 | 4,698 | |
| Total 111,707 234,785 21 158,892 6.69 60,791 41 520 90,588 |
57 | 5,557 | 5,221 |
1 Weighted averages are based on exposure at default
Table 49: IRB credit risk exposure by internal PD grade for corporates – specialised lending (CR6)
| 2017 | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| PD range % |
Original on balance sheet exposure \$million |
Off balance sheet exposure pre CCF \$million |
Average CCF % |
EAD post CRM and post CCF \$million |
Average PD1 % |
Number of obligors2 thousands |
Average LGD1 % |
Average maturity1 Days |
RWA \$million |
RWA density1 % |
Expected Loss \$million |
Value adjust ments and provisions \$million |
| 0.00 to <0.15 | 1,247 | 1,746 | 30 | 1,684 | 0.10 | 140 | 23 | 868 | 242 | 14 | – | |
| 0.15 to <0.25 | 1,952 | 2,952 | 16 | 2,233 | 0.22 | 142 | 35 | 892 | 697 | 31 | 2 | |
| 0.25 to <0.50 | 3,019 | 3,305 | 23 | 2,848 | 0.44 | 154 | 32 | 989 | 1,471 | 52 | 5 | |
| 0.50 to <0.75 | 870 | 843 | 18 | 984 | 0.67 | 51 | 35 | 1,012 | 644 | 65 | 3 | |
| 0.75 to <2.50 | 5,344 | 5,487 | 14 | 4,680 | 1.46 | 337 | 33 | 781 | 3,517 | 75 | 29 | |
| 2.50 to <10.00 | 656 | 1,384 | 12 | 649 | 5.45 | 81 | 26 | 603 | 623 | 96 | 12 | |
| 10.00 to <100.00 | 504 | 243 | 22 | 356 | 43.93 | 58 | 39 | 649 | 1,004 | 282 | 32 | |
| 100.00 (default) | 805 | 177 | 21 | 841 | 100.00 | 60 | 43 | 478 | 123 | 15 | 540 | |
| Total | 14,397 | 16,137 | 18 | 14,275 | 7.89 | 1,023 | 33 | 837 | 8,321 | 58 | 623 | 585 |
| 2016 | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Original on balance |
Off balance sheet |
EAD post | Value adjust |
|||||||||
| PD range | sheet exposure |
exposure pre CCF |
Average CCF |
CRM and post CCF |
Average PD1 |
Number of obligors2 |
Average LGD1 |
Average maturity1 |
RWA | RWA density1 |
Expected Loss |
ments and provisions |
| % | \$million | \$million | % | \$million | % | thousands | % | Days | \$million | % | \$million | \$million |
| 0.00 to <0.15 | 659 | 190 | 2 | 645 | 0.10 | 55 | 25 | 1,456 | 253 | 39 | 3 | |
| 0.15 to <0.25 | 394 | 456 | 26 | 380 | 0.22 | 17 | 26 | 1,720 | 191 | 50 | 1 | |
| 0.25 to <0.50 | 995 | 453 | 3 | 475 | 0.45 | 23 | 31 | 1,573 | 363 | 77 | 2 | |
| 0.50 to <0.75 | 493 | 130 | 36 | 500 | 0.67 | 12 | 32 | 1,734 | 464 | 93 | 2 | |
| 0.75 to <2.50 | 1,371 | 635 | 39 | 1,280 | 1.70 | 108 | 25 | 1,118 | 991 | 77 | 8 | |
| 2.50 to <10.00 | 988 | 250 | 54 | 431 | 6.11 | 26 | 28 | 1,009 | 509 | 118 | 8 | |
| 10.00 to <100.00 | 24 | 3 | 92 | 27 | 67.52 | 4 | 24 | 1,587 | 50 | 183 | 1 | |
| 100.00 (default) | 290 | 27 | 26 | 297 | 100.00 | 11 | 35 | 788 | 9 | 3 | 151 | |
| Total | 5,214 | 2,144 | 26 | 4,035 | 9.18 | 256 | 28 | 1,326 | 2,830 | 70 | 176 | 152 |
1 Weighted averages are based on exposure at default
Table 50: IRB credit risk exposure by internal PD grade for corporates – SME (CR6)
| 2017 | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| PD range % |
Original on balance sheet exposure \$million |
Off balance sheet exposure pre CCF \$million |
Average CCF % |
EAD post CRM and post CCF \$million |
Average PD1 % |
Number of obligors2 thousands |
Average LGD1 % |
Average maturity1 Days |
RWA \$million |
RWA density1 % |
Expected Loss \$million |
Value adjust ments and provisions \$million |
| 0.00 to <0.15 | 348 | 734 | 14 | 447 | 0.10 | 43 | 45 | 547 | 96 | 21 | – | |
| 0.15 to <0.25 | 281 | 385 | 25 | 416 | 0.23 | 183 | 33 | 803 | 115 | 28 | – | |
| 0.25 to <0.50 | 268 | 581 | 23 | 353 | 0.48 | 154 | 41 | 631 | 167 | 47 | 1 | |
| 0.50 to <0.75 | 168 | 177 | 24 | 221 | 0.70 | 612 | 41 | 532 | 106 | 48 | 1 | |
| 0.75 to <2.50 | 2,931 | 1,620 | 29 | 2,971 | 1.68 | 25,492 | 27 | 544 | 1,510 | 51 | 13 | |
| 2.50 to <10.00 | 1,169 | 479 | 26 | 1,084 | 5.34 | 4,401 | 27 | 424 | 749 | 69 | 16 | |
| 10.00 to <100.00 | 354 | 169 | 29 | 313 | 34.32 | 1,124 | 29 | 483 | 545 | 174 | 14 | |
| 100.00 (default) | 464 | 167 | 14 | 471 | 100.00 | 4,262 | 43 | 531 | 570 | 121 | 230 | |
| Total | 5,983 | 4,312 | 24 | 6,276 | 11.01 | 36,271 | 31 | 541 | 3,858 | 61 | 275 | 241 |
| 2016 | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| PD range % |
Original on balance sheet exposure \$million |
Off balance sheet exposure pre CCF \$million |
Average CCF % |
EAD post CRM and post CCF \$million |
Average PD1 % |
Number of obligors2 thousands |
Average LGD1 % |
Average maturity1 Days |
RWA \$million |
RWA density1 % |
Expected Loss \$million |
Value adjust ments and provisions \$million |
| 0.00 to <0.15 | 382 | 1,068 | 31 | 790 | 0.08 | 64 | 51 | 682 | 170 | 21 | – | |
| 0.15 to <0.25 | 154 | 276 | 29 | 428 | 0.23 | 196 | 31 | 736 | 103 | 24 | – | |
| 0.25 to <0.50 | 262 | 509 | 17 | 354 | 0.47 | 2,813 | 33 | 741 | 135 | 38 | 1 | |
| 0.50 to <0.75 | 138 | 329 | 26 | 232 | 0.68 | 9,708 | 48 | 886 | 179 | 77 | 1 | |
| 0.75 to <2.50 | 3,243 | 1,636 | 23 | 3,021 | 1.78 | 20,719 | 24 | 563 | 1,350 | 45 | 13 | |
| 2.50 to <10.00 | 1,413 | 769 | 24 | 1,370 | 5.20 | 5,906 | 32 | 462 | 1,048 | 76 | 22 | |
| 10.00 to <100.00 | 284 | 160 | 28 | 247 | 45.47 | 1,077 | 31 | 466 | 512 | 208 | 16 | |
| 100.00 (default) | 482 | 200 | 31 | 526 | 100.00 | 4,062 | 50 | 431 | 1,002 | 190 | 251 | |
| Total | 6,358 | 4,947 | 25 | 6,968 | 11.03 | 44,545 | 33 | 574 | 4,499 | 65 | 304 | 288 |
1 Weighted averages are based on exposure at default
Table 51: IRB credit risk exposure by internal PD grade for retail (CR6)
| 2017 | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| PD range % |
Original on balance sheet exposure \$million |
Off balance sheet exposure pre CCF \$million |
Average CCF % |
EAD post CRM and post CCF \$million |
Average PD1 % |
Number of obligors2 thousands |
Average LGD1 % |
Average maturity1 Days |
RWA \$million |
RWA density1 % |
Expected Loss \$million |
Value adjust ments and provisions \$million |
| 0.00 to <0.15 | 51,977 | 13,878 | 52 | 59,245 | 0.06 | 1,290 | 20 | 2,190 | 4 | 9 | ||
| 0.15 to <0.25 | 7,733 | 4,847 | 57 | 10,475 | 0.22 | 346 | 32 | 1,182 | 11 | 8 | ||
| 0.25 to <0.50 | 6,444 | 3,236 | 59 | 8,368 | 0.42 | 309 | 43 | 2,102 | 25 | 15 | ||
| 0.50 to <0.75 | 2,687 | 2,921 | 51 | 4,187 | 0.67 | 204 | 54 | 1,287 | 31 | 15 | ||
| 0.75 to <2.50 | 8,466 | 5,131 | 47 | 10,864 | 1.62 | 658 | 57 | 6,865 | 63 | 105 | ||
| 2.50 to <10.00 | 3,981 | 2,288 | 29 | 4,639 | 5.14 | 789 | 67 | 4,830 | 104 | 161 | ||
| 10.00 to <100.00 | 744 | 617 | 26 | 901 | 29.20 | 319 | 66 | 1,534 | 170 | 162 | ||
| 100.00 (default) | 589 | 16 | 9 | 590 | 100.00 | 79 | 53 | 1,000 | 169 | 239 | ||
| Total | 82,621 | 32,934 | 51 | 99,269 | 1.40 | 3,994 | 32 | 20,990 | 21 | 714 | 73 |
| PD range % |
Original on balance sheet exposure \$million |
Off balance sheet exposure pre CCF \$million |
Average CCF % |
EAD post CRM and post CCF \$million |
Average PD1 % |
Number of obligors2 thousands |
Average LGD1 % |
Average maturity1 Days |
RWA \$million |
RWA density1 % |
Expected Loss \$million |
Value adjust ments and provisions \$million |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.00 to <0.15 | 50,121 | 15,091 | 58 | 58,885 | 0.06 | 1,485 | 22 | 2,312 | 4 | 10 | ||
| 0.15 to <0.25 | 6,429 | 5,140 | 66 | 9,826 | 0.22 | 390 | 42 | 1,340 | 14 | 9 | ||
| 0.25 to <0.50 | 5,485 | 3,379 | 68 | 7,778 | 0.43 | 369 | 49 | 1,957 | 25 | 16 | ||
| 0.50 to <0.75 | 2,241 | 881 | 68 | 2,839 | 0.67 | 110 | 44 | 902 | 32 | 8 | ||
| 0.75 to <2.50 | 6,478 | 4,241 | 50 | 8,584 | 1.56 | 677 | 56 | 5,025 | 59 | 78 | ||
| 2.50 to <10.00 | 3,598 | 2,006 | 44 | 4,473 | 5.39 | 839 | 74 | 5,136 | 115 | 182 | ||
| 10.00 to <100.00 | 762 | 444 | 28 | 888 | 30.94 | 276 | 71 | 1,585 | 178 | 191 | ||
| 100.00 (default) | 620 | 23 | 10 | 622 | 100.00 | 111 | 58 | 945 | 152 | 291 | ||
| Total | 75,734 | 31,205 | 58 | 93,895 | 1.47 | 4,257 | 34 | 19,202 | 20 | 785 | 64 | |
2016
1 Weighted averages are based on exposure at default
Table 52: IRB credit risk exposure by internal PD grade for retail – secured by real estate property (CR6)
| 2017 | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| PD range % |
Original on balance sheet exposure \$million |
Off balance sheet exposure pre CCF \$million |
Average CCF % |
EAD post CRM and post CCF \$million |
Average PD1 % |
Number of obligors2 thousands |
Average LGD1 % |
Average maturity1 Days |
RWA \$million |
RWA density1 % |
Expected Loss \$million |
Value adjust ments and provisions \$million |
| 0.00 to <0.15 | 51,121 | 827 | 100 | 51,948 | 0.05 | 252 | 11 | 1,764 | 3 | 2 | ||
| 0.15 to <0.25 | 7,075 | 841 | 99 | 7,910 | 0.21 | 43 | 16 | 606 | 8 | 3 | ||
| 0.25 to <0.50 | 4,612 | 88 | 96 | 4,697 | 0.43 | 25 | 14 | 536 | 11 | 3 | ||
| 0.50 to <0.75 | 1,760 | 32 | 98 | 1,791 | 0.66 | 12 | 14 | 258 | 14 | 2 | ||
| 0.75 to <2.50 | 3,558 | 325 | 99 | 3,876 | 1.48 | 19 | 14 | 904 | 23 | 8 | ||
| 2.50 to <10.00 | 804 | 46 | 99 | 848 | 4.72 | 6 | 14 | 390 | 46 | 6 | ||
| 10.00 to <100.00 | 202 | 2 | 98 | 204 | 34.33 | 3 | 15 | 181 | 89 | 10 | ||
| 100.00 (default) | 202 | 1 | 84 | 202 | 100.00 | 4 | 22 | 314 | 155 | 23 | ||
| Total | 69,334 | 2,162 | 99 | 71,476 | 0.62 | 364 | 12 | 4,953 | 7 | 57 | 34 |
| 2016 | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| PD range % |
Original on balance sheet exposure \$million |
Off balance sheet exposure pre CCF \$million |
Average CCF % |
EAD post CRM and post CCF \$million |
Average PD1 % |
Number of obligors2 thousands |
Average LGD1 % |
Average maturity1 Days |
RWA \$million |
RWA density1 % |
Expected Loss \$million |
Value adjust ments and provisions \$million |
| 0.00 to <0.15 | 49,306 | 1,413 | 99 | 50,705 | 0.06 | 263 | 12 | 1,781 | 4 | 4 | ||
| 0.15 to <0.25 | 5,486 | 608 | 99 | 6,087 | 0.22 | 33 | 15 | 503 | 8 | 2 | ||
| 0.25 to <0.50 | 3,855 | 98 | 95 | 3,948 | 0.43 | 25 | 15 | 450 | 11 | 2 | ||
| 0.50 to <0.75 | 1,543 | 36 | 96 | 1,579 | 0.66 | 12 | 14 | 228 | 14 | 1 | ||
| 0.75 to <2.50 | 3,017 | 255 | 99 | 3,265 | 1.45 | 19 | 13 | 740 | 23 | 6 | ||
| 2.50 to <10.00 | 652 | 40 | 98 | 692 | 4.84 | 6 | 14 | 340 | 49 | 5 | ||
| 10.00 to <100.00 | 161 | 1 | 100 | 163 | 34.02 | 3 | 15 | 139 | 86 | 9 | ||
| 100.00 (default) | 200 | – | 87 | 200 | 100.00 | 4 | 21 | 286 | 143 | 22 | ||
| Total | 64,220 | 2,451 | 99 | 66,639 | 0.61 | 365 | 12 | 4,467 | 7 | 51 | 29 |
1 Weighted averages are based on exposure at default
Table 53: IRB credit risk exposure by internal PD grade for retail – qualifying revolving (CR6)
| 2017 | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| PD range % |
Original on balance sheet exposure \$million |
Off balance sheet exposure pre CCF \$million |
Average CCF % |
EAD post CRM and post CCF \$million |
Average PD1 % |
Number of obligors2 thousands |
Average LGD1 % |
Average maturity1 Days |
RWA \$million |
RWA density1 % |
Expected Loss \$million |
Value adjust ments and provisions \$million |
| 0.00 to <0.15 | 644 | 12,188 | 49 | 6,567 | 0.07 | 1,018 | 87 | 282 | 4 | 4 | ||
| 0.15 to <0.25 | 262 | 2,944 | 38 | 1,382 | 0.25 | 249 | 82 | 153 | 11 | 3 | ||
| 0.25 to <0.50 | 245 | 1,759 | 52 | 1,163 | 0.42 | 195 | 78 | 184 | 16 | 4 | ||
| 0.50 to <0.75 | 274 | 2,423 | 50 | 1,489 | 0.68 | 169 | 87 | 391 | 26 | 9 | ||
| 0.75 to <2.50 | 659 | 3,260 | 38 | 1,900 | 1.55 | 468 | 81 | 854 | 45 | 24 | ||
| 2.50 to <10.00 | 715 | 1,700 | 31 | 1,244 | 6.04 | 653 | 80 | 1,411 | 113 | 60 | ||
| 10.00 to <100.00 | 264 | 507 | 24 | 384 | 25.30 | 305 | 81 | 813 | 212 | 79 | ||
| 100.00 (default) | 147 | 7 | – | 147 | 100.00 | 42 | 62 | 251 | 171 | 71 | ||
| Total | 3,210 | 24,788 | 45 | 14,276 | 2.60 | 3,099 | 84 | 4,339 | 30 | 254 | 1 |
| PD range % |
Original on balance sheet exposure \$million |
Off balance sheet exposure pre CCF \$million |
Average CCF % |
EAD post CRM and post CCF \$million |
Average PD1 % |
Number of obligors2 thousands |
Average LGD1 % |
Average maturity1 Days |
RWA \$million |
RWA density1 % |
Expected Loss \$million |
Value adjust ments and provisions \$million |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.00 to <0.15 | 564 | 12,787 | 53 | 7,400 | 0.09 | 1,205 | 89 | 367 | 5 | 6 | ||
| 0.15 to <0.25 | 327 | 3,184 | 56 | 2,125 | 0.22 | 280 | 87 | 227 | 11 | 4 | ||
| 0.25 to <0.50 | 322 | 2,070 | 67 | 1,713 | 0.43 | 262 | 85 | 300 | 18 | 6 | ||
| 0.50 to <0.75 | 117 | 506 | 71 | 475 | 0.68 | 71 | 84 | 119 | 25 | 3 | ||
| 0.75 to <2.50 | 610 | 3,044 | 45 | 1,984 | 1.46 | 508 | 82 | 869 | 44 | 24 | ||
| 2.50 to <10.00 | 893 | 1,638 | 47 | 1,656 | 5.85 | 671 | 87 | 1,978 | 119 | 83 | ||
| 10.00 to <100.00 | 253 | 350 | 30 | 357 | 27.45 | 242 | 83 | 772 | 216 | 82 | ||
| 100.00 (default) | 156 | 10 | – | 156 | 100.00 | 62 | 68 | 275 | 176 | 84 | ||
| Total | 3,242 | 23,589 | 54 | 15,866 | 2.53 | 3,301 | 87 | 4,907 | 31 | 292 | 3 |
2016
1 Weighted averages are based on exposure at default
Table 54: IRB credit risk exposure by internal PD grade for retail – SME (CR6)
| 2017 | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| PD range % |
Original on balance sheet exposure \$million |
Off balance sheet exposure pre CCF \$million |
Average CCF % |
EAD post CRM and post CCF \$million |
Average PD1 % |
Number of obligors2 thousands |
Average LGD1 % |
Average maturity1 Days |
RWA \$million |
RWA density1 % |
Expected Loss \$million |
Value adjust ments and provisions \$million |
| 0.00 to <0.15 | 25 | 31 | 3 | 26 | 0.12 | – | 78 | 4 | 17 | – | ||
| 0.15 to <0.25 | 96 | 52 | 13 | 104 | 0.26 | 1 | 68 | 28 | 27 | – | ||
| 0.25 to <0.50 | 86 | 32 | 9 | 89 | 0.45 | – | 72 | 35 | 39 | – | ||
| 0.50 to <0.75 | 75 | 39 | 6 | 77 | 0.68 | – | 72 | 39 | 50 | – | ||
| 0.75 to <2.50 | 643 | 311 | 5 | 655 | 1.67 | 4 | 68 | 436 | 66 | 8 | ||
| 2.50 to <10.00 | 434 | 346 | 4 | 442 | 5.21 | 3 | 49 | 265 | 60 | 11 | ||
| 10.00 to <100.00 | 47 | 37 | 7 | 48 | 46.19 | 1 | 61 | 62 | 131 | 13 | ||
| 100.00 (default) | 51 | 3 | 4 | 52 | 100.00 | – | 48 | 151 | 292 | 15 | ||
| Total | 1,457 | 851 | 5 | 1,493 | 7.28 | 9 | 62 | 1,020 | 68 | 47 | 20 |
| 2016 | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Original | Off | |||||||||||
| on | balance | Value | ||||||||||
| balance sheet |
sheet exposure |
Average | EAD post CRM and |
Average | Number of | Average | Average | RWA | Expected | adjust ments and |
||
| PD range | exposure | pre CCF | CCF | post CCF | PD1 | obligors2 | LGD1 | maturity1 | RWA | density1 | Loss | provisions |
| % | \$million | \$million | % | \$million | % | thousands | % | Days | \$million | % | \$million | \$million |
| 0.00 to <0.15 | 23 | 19 | 7 | 24 | 0.12 | – | 78 | 4 | 18 | – | ||
| 0.15 to <0.25 | 126 | 46 | 11 | 131 | 0.21 | 1 | 71 | 32 | 25 | – | ||
| 0.25 to <0.50 | 138 | 36 | 8 | 141 | 0.46 | – | 75 | 59 | 42 | – | ||
| 0.50 to <0.75 | 110 | 26 | 8 | 113 | 0.67 | – | 76 | 59 | 52 | 1 | ||
| 0.75 to <2.50 | 339 | 120 | 5 | 344 | 1.62 | 2 | 79 | 272 | 79 | 5 | ||
| 2.50 to <10.00 | 76 | 126 | 2 | 76 | 5.38 | 1 | 76 | 70 | 93 | 3 | ||
| 10.00 to <100.00 | 26 | 25 | 93 | 28 | 57.51 | 1 | 72 | 58 | 208 | 8 | ||
| 100.00 (default) | 17 | 6 | – | 18 | 100.00 | – | 59 | 39 | 218 | 10 | ||
| Total | 855 | 404 | 6 | 875 | 5.20 | 5 | 76 | 593 | 68 | 27 | 15 |
1 Weighted averages are based on exposure at default
2 Number of obligors is based on the number of counterparties within each PD grade
3.7 Credit risk mitigation
Potential credit losses from any given account, customer or portfolio are mitigated using a range of tools such as collateral, netting agreements, credit insurance, credit derivatives and guarantees. The reliance that can be placed on these mitigants is carefully assessed in light of issues such as legal certainty and enforceability, market valuation, correlation and counterparty risk of the guarantor. The presence of credit risk mitigation is not a substitute for the ability to pay, which is the primary consideration for any credit limit decision, but may infl uence credit limit sizing, for example eligible fi nancial collateral taken under eligible master netting agreements supported by a legal opinion may be netted against exposures. Where appropriate, credit derivatives are used to reduce credit risks in the portfolio. Due to their potential impact on income volatility, such derivatives are used in a controlled manner with reference to their expected volatility. Collateral is held to mitigate credit risk exposures and risk mitigation policies determine the eligibility of collateral types. Collateral concentrations are monitored and reported to the relevant risk committees. The Group uses credit limits to record guarantees taken against individual guarantors where a capital benefi t is taken. The Group uses
netting in the case of fi nancial market's transactions under master netting agreements supported by a legal opinion but otherwise the Group makes very limited use of on and off-balance sheet netting.
Our approach to credit risk mitigation can be found in the Risk management approach section of the 2017 Annual Report and Accounts on pages 138 to 141.
The table below shows the unfunded credit protection held by the Group, consisting of credit derivatives and guarantees, and funded credit protection, including fi nancial collateral. Exposure class has been defi ned based on the guarantor of the exposure.
3.7 Credit risk mitigation continued
Table 55: CRM techniques – overview (CR3)
| 2017 | |||||
|---|---|---|---|---|---|
| Exposures unsecured \$million |
Exposures secured \$million |
Exposures secured by collateral \$million |
Exposures secured by fi nancial guarantees \$million |
Exposures secured by credit derivatives \$million |
|
| IRB Exposure Class | |||||
| Total loans | 165,465 | 135,251 | 114,187 | 21,064 | – |
| Total debt securities | 105,276 | 3,157 | 2,495 | 662 | – |
| Total exposures | 270,741 | 138,408 | 116,682 | 21,726 | – |
| Of which defaulted | 7,062 | 2,361 | 2,361 | – | – |
Table 56: Effect of guarantees and collateral
| 2017 | 2016 | |||
|---|---|---|---|---|
| Exposures covered by unfunded credit protection \$million |
Exposures covered by funded credit protection \$million |
Exposures covered by unfunded credit protection \$million |
Exposures covered by funded credit protection \$million |
|
| IRB Exposure Class | ||||
| Central governments or central banks | 3,761 | 11,377 | 4,839 | 4,664 |
| Institutions | 5,582 | 32,164 | 5,414 | 30,472 |
| Corporates | 17,442 | 69,866 | 13,790 | 62,647 |
| Retail1 | 4 | 70,107 | 4 | 65,106 |
| Securitisation positions | – | 973 | – | 611 |
| Total IRB | 26,789 | 184,487 | 24,047 | 163,500 |
| Standardised Exposure Class | ||||
| Central governments or central banks | 1,037 | 567 | 1,377 | 135 |
| Multilateral development banks | 1,482 | 530 | 706 | 178 |
| Institutions | 1,125 | 27,845 | 314 | 13,812 |
| Corporates | 86 | 21,016 | 12 | 20,515 |
| Retail1 | 3 | 412 | 2 | 561 |
| Secured on real estate property | – | 1 | – | 35 |
| Exposures in default | – | 2 | – | 159 |
| Items belonging to regulatory high risk categories | – | 25 | – | 9 |
| Other items2 | 83 | 3 | 27 | 14 |
| Total Standardised | 3,816 | 50,401 | 2,438 | 35,418 |
| Total Exposure | 30,605 | 234,888 | 26,485 | 198,918 |
1 The combined retail IRB exposure class includes both retail mortgages secured by real estate collateral and other types of retail exposers. The standardised retail exposure class excludes mortgages which are included in separate class under the heading secured on real estate property
2 Other items include public sector entities
Funded credit protection for institutions and central governments and central banks increased in both the IRB and Standardised approaches due to the expansion of the reverse repo business in response to client demand and an increase in repo, improving the quality of our funding base. There was an increase of \$7 billion in funded credit protection for corporates across multiple product lines and a \$5.9 billion increase in mortgage products for retail.
3.7 Credit risk mitigation continued
Table 57 presents the EAD before and after the effect of CRM, including credit substitution and fi nancial collateral, with a further split into on-balance sheet and off-balance sheet exposures. Off-balance sheet exposures are presented before and after the application of standardised CCFs.
Table 57: Standardised approach – credit risk exposure and Credit Risk Mitigation (CRM) effects (CR4)
| 2017 | ||||||
|---|---|---|---|---|---|---|
| Exposures before CCF and CRM1 | Exposures post CCF and CRM | RWA and RWA density | ||||
| On-balance sheet \$million |
Off-balance sheet \$million |
On-balance sheet \$million |
Off-balance sheet \$million |
RWA \$million |
RWA density % |
|
| Standardised Exposure Class | ||||||
| Central governments or central banks | 35,160 | 75,115 | 35,955 | 247 | 4,675 | 13 |
| Multilateral development banks | 10,123 | 7,155 | 11,441 | 30 | – | – |
| Institutions | 3,899 | 2,007 | 3,885 | 63 | 808 | 20 |
| Corporates | 24,497 | 27,327 | 13,843 | 1,121 | 14,678 | 98 |
| Retail | 12,740 | 8,329 | 12,401 | 304 | 9,072 | 71 |
| Secured on real estate property | 10,131 | 704 | 10,130 | 290 | 5,838 | 56 |
| Exposures in default | 393 | 12 | 390 | 6 | 396 | 100 |
| Items belonging to regulatory high risk categories |
2,058 | 322 | 1,986 | 35 | 3,032 | 150 |
| Equity | 1,818 | – | 1,818 | – | 4,544 | 250 |
| Other items2 | 10,041 | 288 | 10,120 | 192 | 8,363 | 81 |
| Total Standardised3 | 110,860 | 121,259 | 101,969 | 2,288 | 51,406 | 49 |
| 2016 | ||||||
|---|---|---|---|---|---|---|
| Exposures before CCF and CRM1 | Exposures post CCF and CRM | RWA and RWA density | ||||
| On-balance sheet \$million |
Off-balance sheet \$million |
On-balance sheet \$million |
Off-balance sheet \$million |
RWA \$million |
RWA density % |
|
| Standardised Exposure Class | ||||||
| Central governments or central banks | 42,499 | 49,958 | 43,695 | 112 | 5,143 | 12 |
| Multilateral development banks | 11,885 | 11,474 | 12,493 | 26 | – | – |
| Institutions | 3,537 | 1,862 | 2,398 | 33 | 355 | 15 |
| Corporates | 23,680 | 30,059 | 14,240 | 1,379 | 15,435 | 99 |
| Retail | 11,734 | 5,832 | 11,229 | 215 | 8,140 | 71 |
| Secured on real estate property | 9,773 | 491 | 9,738 | 212 | 5,515 | 55 |
| Exposures in default | 448 | 13 | 323 | 8 | 330 | 100 |
| Items belonging to regulatory high risk categories |
2,578 | 466 | 2,430 | 50 | 3,720 | 150 |
| Equity | 1,347 | – | 1,347 | – | 3,367 | 250 |
| Other items2 | 8,742 | 86 | 8,766 | 27 | 7,252 | 82 |
| Total Standardised | 116,223 | 100,241 | 106,659 | 2,062 | 49,257 | 45 |
1 EAD before the effect of collateral and substitution
2 Other items include public sector entities
3 Refer to table 12 (OV1): Standardised approach \$44,100 million and amount below threshold for deduction \$7,306 million RWA
3.8 Standardised risk weight profi le
External ratings, where available, are used to assign risk weights for standardised approach (SA) exposures. These external ratings must come from EU approved rating agencies, known as External Credit Assessment Institutions (ECAI), which currently include Moody's, Standard & Poor's and Fitch. The Group uses the ECAI ratings from these agencies in its day-to-day business, which are tracked and kept updated. Assessments provided by approved ECAI are mapped to credit quality steps as prescribed by the CRR.
The Group currently does not use assessments provided by export credit agencies for the purpose of evaluating RWA in the standardised approach.
The following tables set out EAD and EAD after CRM associated with each risk weight as prescribed in Part Three, Title II, Chapter 2 of the CRR, including credit and counterparty credit risk regulatory risk weights based on the exposure classes applied to unrated exposures.
Standardised EAD pre CRM and pre CCF increased \$15.7 billion:
- ¼ Central governments and central banks EAD increased by \$17.8 billion mainly due to an increase in interbank and marketable securities by \$23.4 billion offset by a decrease in nostro balances by \$6.5 billion, all of which are 0 per cent risk weight
- ¼ Retail EAD increased by \$3.5 billion due to increasing revolving overdraft by \$1.4 billion and non-interest bearing current accounts by \$0.7 billion. The movement was noted mostly within Greater China and North Asia
Offset by:
¼ MDB EAD decreased \$6.1 billion driven by a reduction in facility products mainly within Europe and Americas region
Table 58: Standardised approach – exposures by asset classes and risk weights (pre CRM pre CCF) (CR5)
| 2017 | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Risk Weight | Of | |||||||||||||
| 0% | 2% | 4% | 20% | 35% | 50% | 75% | 100% | 150% | 250% | Others | Deduc ted |
Total | which unrated |
|
| Standardised Exposure Class |
||||||||||||||
| Central governments or central banks |
105,644 | – | – | 4 | – | 2,872 | – | 641 | 8 | 1,106 | – | – 110,275 | – | |
| Multilateral development banks |
17,278 | – | – | – | – | – | – | – | – | – | – | – | 17,278 | – |
| Institutions | – | 1,826 | 40 | 1,017 | – | 2,811 | – | 212 | – | – | – | – | 5,906 | 3,110 |
| Corporates | – | – | – | 697 | – | 186 | – 50,941 | – | – | – | – | 51,824 49,933 | ||
| Retail | – | – | – | – | – | – 21,069 | – | – | – | – | – | 21,069 21,023 | ||
| Secured on real estate property |
– | – | – | – | 3,453 | 4,226 | – | 2,324 | – | – | 832 | – | 10,835 10,835 | |
| Exposures in default | – | – | – | – | – | – | – | 405 | – | – | – | – | 405 | 405 |
| Items belonging to regulatory high risk categories |
– | – | – | – | – | – | – | – | 2,380 | – | – | – | 2,380 | 2,364 |
| Equity | – | – | – | – | – | – | – | – | – | 1,818 | – | – | 1,818 | 1,818 |
| Other items1 | 1,524 | – | – | – | – | – | – | 7,360 | – | – | 1,445 | – | 10,329 10,329 | |
| Total Standardised | 124,446 | 1,826 | 40 | 1,718 | 3,453 10,095 21,069 61,883 | 2,388 | 2,924 | 2,277 | – 232,119 99,817 |
1 Other items include cash, equity holdings, fi xed assets, prepayments and accrued income
3.8 Standardised risk weight profi le continued
Table 58: Standardised approach – exposures by asset classes and risk weights (pre CRM pre CCF) (CR5) continued
| 2016 | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Risk Weight | ||||||||||||||
| 0% | 2% | 4% | 20% | 35% | 50% | 75% | 100% | 150% | 250% | Others | Deduc ted |
Total | Of which unrated |
|
| Standardised Exposure Class |
||||||||||||||
| Central governments or central banks |
87,040 | – | – | 16 | – | 3,693 | – | 509 | – | 1,173 | 27 | – | 92,458 | – |
| Multilateral development banks |
23,359 | – | – | – | – | – | – | – | – | – | – | – 23,359 | – | |
| Institutions | – | 1,459 | – | 1,649 | – | 2,140 | – | 151 | – | – | – | – | 5,399 | 3,113 |
| Corporates | – | – | – | 543 | – | 32 | – 53,165 | – | – | – | – | 53,740 52,560 | ||
| Retail | – | – | – | – | – | – 17,566 | – | – | – | – | – | 17,566 | 17,566 | |
| Secured on real estate property |
– | – | – | – | 3,732 | 3,577 | – | 2,163 | – | – | 792 | – | 10,264 10,264 | |
| Exposures in default | – | – | – | – | – | – | – | 461 | – | – | – | – | 461 | 276 |
| Items belonging to regulatory high risk categories |
– | – | – | – | – | – | – | – | 3,044 | – | – | – | 3,044 | 3,044 |
| Equity | – | – | – | – | – | – | – | – | – | 1,347 | – | – | 1,347 | 1,347 |
| Other items1 | 1,368 | – | – | 47 | – | – | – | 5,860 | – | – | 1,552 | – | 8,827 | 8,827 |
| Total Standardised | 111,767 | 1,459 | – | 2,255 | 3,732 | 9,442 | 17,566 62,309 | 3,044 | 2,520 | 2,371 | – 216,465 96,997 |
1 Other items include cash, equity holdings, fi xed assets, prepayments and accrued income
3.8 Standardised risk weight profi le continued
Table 59: Standardised approach – exposures by asset classes and risk weights (post CRM post CCF) (CR5)
| 2017 | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Risk Weight | Of | |||||||||||||
| 0% | 2% | 4% | 20% | 35% | 50% | 75% | 100% | 150% | 250% | Others | Deduc ted |
Total | which unrated |
|
| Standardised Exposure Class |
||||||||||||||
| Central governments or central banks |
31,731 | – | – | 4 | – | 2,907 | – | 446 | 8 | 1,106 | – | – 36,202 | – | |
| Multilateral development banks |
11,471 | – | – | – | – | – | – | – | – | – | – | – | 11,471 | – |
| Institutions | – | 1,826 | 40 | 801 | 830 | 264 | – | 187 | – | – | – | – | 3,948 | 2,001 |
| Corporates | – | – | – | 203 | 48 | 29 | – 14,684 | – | – | – | – 14,964 14,682 | |||
| Retail | – | – | – | – | – | – 12,705 | – | – | – | – | – 12,705 12,705 | |||
| Secured on real estate property |
– | – | – | – | 3,422 | 4,073 | – | 2,221 | – | – | 704 | – 10,420 10,420 | ||
| Exposures in default | – | – | – | – | – | – | – | 396 | – | – | – | – | 396 | 396 |
| Items belonging to regulatory high risk |
||||||||||||||
| categories | – | – | – | – | – | – | – | – | 2,021 | – | – | – | 2,021 | 2,007 |
| Equity | – | – | – | – | – | – | – | – | – | 1,818 | – | – | 1,818 | 1,818 |
| Other items1 | 1,524 | – | – | 42 | – | – | – | 7,301 | – | – | 1,445 | – 10,312 10,270 | ||
| Total Standardised | 44,726 | 1,826 | 40 | 1,050 | 4,300 | 7,273 12,705 25,235 | 2,029 | 2,924 | 2,149 | – 104,257 54,299 |
| 2016 | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Risk Weight | |||||||||||||
| 0% | 2% | 20% | 35% | 50% | 75% | 100% | 150% | 250% | Others | Deduc ted |
Total | Of which unrated |
|
| Standardised Exposure Class | |||||||||||||
| Central governments or central banks |
38,541 | – | 16 | – | 3,764 | – | 285 | – | 1,173 | 27 | – 43,806 | – | |
| Multilateral development banks | 12,519 | – | – | – | – | – | – | – | – | – | – | 12,519 | – |
| Institutions | – | 1,459 | 752 | – | 89 | – | 131 | – | – | – | – | 2,431 | 1,680 |
| Corporates | – | – | 133 | – | 14 | – 15,472 | – | – | – | – | 15,619 | 15,441 | |
| Retail | – | – | – | – | – 11,444 | – | – | – | – | – | 11,444 | 11,444 | |
| Secured on real estate property | – | – | – | 3,694 | 3,454 | – | 2,069 | – | – | 733 | – | 9,950 | 9,950 |
| Exposures in default | – | – | – | – | – | – | 331 | – | – | – | – | 331 | 324 |
| Items belonging to regulatory high risk categories |
– | – | – | – | – | – | – | 2,480 | – | – | – | 2,480 | 2,480 |
| Equity | – | – | – | – | – | – | – | – | 1,347 | – | – | 1,347 | 1,347 |
| Other items1 | 1,368 | – | 74 | – | – | – | 5,800 | – | – | 1,551 | – | 8,793 | 8,768 |
| Total Standardised | 52,428 | 1,459 | 975 | 3,694 | 7,321 | 11,444 24,088 | 2,480 | 2,520 | 2,311 | – 108,720 | 51,434 |
1 Other items include cash, fi xed assets, prepayments and accrued income
Standardised EAD post CRM and post CCF decreased \$4.5 billion:
¼ Central governments and central banks EAD decreased by \$7.6 billion mainly due to decreases in nostro balances within Europe and Americas
Offset by:
¼ Institutions EAD increased by \$1.5 billion across multiple product lines
3.9 Counterparty credit risk
Counterparty credit risk (CCR) is the risk that the Group's counterparty in foreign exchange, interest rate, commodity, equity or credit derivative or repo contract defaults prior to the maturity date of the contract and that the Group at the time has a claim on the counterparty. CCR arises predominantly in the trading book, but also arises in the non-trading book due to hedging of external funding.
CCR is managed within the overall credit risk appetite for corporate and fi nancial institutions and CCR limits are set for individual counterparties, including central clearing counterparties, and specifi c portfolio concentrations. Such limits take into account the credit quality and nature of the counterparty and are set in exposure value terms.
The Group reduces its credit exposures to counterparties by entering into contractual netting agreements which result in a single amount owed by or to the counterparty. The amount is calculated by netting the Mark-To-Market (MTM) owed by the counterparty to the Group and the MTM owed by the Group to the counterparty on the transactions covered by the netting agreement. Following International Accounting Standard (IAS) 32 (Financial Instruments: Presentation) requirements the Group is permitted to offset assets and liabilities and present these net on the Group's balance sheet, only if there is a legally enforceable right of set off and the Group intends to settle on a net basis or realise the asset and liability simultaneously.
Wrong-way risk
Wrong-way risk occurs when an exposure increase is coupled with a decrease in the credit quality of the obligor. Specifi cally, as the MTM on a derivative or repo contract increases in favour of the Group, the driver of this MTM change also reduces the ability of the counterparty to meet its payment, margin call or collateral posting requirements. The Group employs various policies and procedures to ensure that wrong-way risk exposures are recognised upfront, monitored, and where required, contained by limits on tenor, collateral type, collateral
concentration, and markets-based collateral top-up mechanisms. The majority of the wrong-way risk transactions are with investment grade counterparties.
Exposure value calculation
Exposure values for regulatory capital requirement purposes on over-the-counter traded products are calculated according to the Current Exposure Method. Exposure values are the sum of the current replacement cost and the potential future credit exposure. The current replacement cost is the US dollar equivalent amount owed by the counterparty to the Group for various fi nancial derivative transactions. The potential future credit exposure is an add-on based on a percentage of the notional principal of each transaction. Such percentages are prescribed by CRR articles and vary according to the underlying asset class and tenor of each trade. The benefi t from master netting agreements is derived from the Net to Gross Ratio rules provided in the CRR articles.
The Group has credit policies and procedures setting out the criteria for collateral to be recognised as a credit risk mitigant, including requirements concerning legal certainty, priority, concentration, correlation, liquidity and valuation parameters such as frequency of review and independence. In particular, the Group seeks to negotiate Credit Support Annexes (CSAs) with counterparties on a case by case basis, where collateral is deemed a necessary or desirable mitigant to the exposure. The credit terms of a CSA are specifi c to each legal document and determined by the credit risk approval unit responsible for the counterparty. The nature of the collateral is specifi ed in the legal document and is typically cash or highly liquid securities.
The MTM of all trades captured under CSAs is calculated daily. Additional collateral will be called from the counterparty if total uncollateralised MTM exposure exceeds the threshold and minimum transfer amount specifi ed in the CSA. Additional collateral may be required from the counterparty to provide an extra buffer to the daily variation margin process.
In line with market convention, the Group negotiates CSA terms for certain counterparties where the thresholds related to each party are dependent on their ECAI long-term rating. Such clauses are typically mutual in nature. As a result, a downgrade in the Group's rating would result in some counterparties seeking additional collateral calls to cover negative MTM portfolios where thresholds are lowered. The amount of collateral that the Group would be required to provide given a one-notch credit rating downgrade is approximately \$258 million.
The Group also has policies and procedures in place setting out the criteria for guarantees to be recognised as a credit risk mitigant. Where guarantees meet regulatory criteria, the Group treats the exposure as guarantor risk for the purpose of counterparty credit risk capital.
Derivatives valuation adjustments
The Group makes credit valuation adjustments (CVA) to the fair value of derivative contracts to refl ect the creditworthiness of the counterparties. Details on CVA are provided in note 13 of the 2017 Annual Report and Accounts on page 236.
Table 60 shows the credit exposure on derivative transactions after taking into account the benefi ts from legally enforceable netting agreements and collateral held, including transactions cleared through recognised trading exchanges.
Table 61 specifi es the methods used by the Group to calculate counterparty credit risk regulatory requirements, followed by Table 62 which demonstrates the risk-weighted exposure amounts to central counterparties by derivative types.
Table 63 indicates the notional amounts of credit derivative transactions segregated between protection bought and sold within each product type, and Table 64 describes the exposure value and related RWA for the regulatory credit valuation adjustment charge.
Table 60: Impact of netting and collateral held on exposure values (CCR5-A)
| 2017 | |||||
|---|---|---|---|---|---|
| EAD before netting benefi t \$million |
Netting benefi ts \$million |
Netted current credit exposure \$million |
Collateral held \$million |
Net derivatives credit exposure \$million |
|
| Derivative contracts | 84,294 | (36,723) | 47,571 | (8,222) | 39,349 |
| Repo style transactions | 130,098 | – | 130,098 | (109,276) | 20,822 |
| Total | 214,392 | (36,723) | 177,669 | (117,498) | 60,171 |
| 2016 | |||||
| EAD before netting benefi t \$million |
Netting benefi ts \$million |
Netted current credit exposure \$million |
Collateral held \$million |
Net derivatives credit exposure \$million |
|
| Derivative contracts | 101,289 | (48,704) | 52,586 | (9,088) | 43,498 |
| Repo style transactions | 95,646 | – | 95,646 | (79,011) | 16,635 |
| Total | 196,935 | (48,704) | 148,232 | (88,099) | 60,133 |
The netting benefi t decreased by \$11.9 billion as a result of decreased derivative mark to market due to lower valuations, depreciating US dollars and maturing trades. The net exposure for repo style transactions increased by \$4.1 billion due to the expansion of the reverse repo business in response to client demand and an increase in repo, improving the quality of our funding base.
Table 61: Analysis of CCR exposures by approach (CCR1)
| 2017 | |||||||
|---|---|---|---|---|---|---|---|
| Notional \$million |
Replacement cost/current market value \$million |
Potential future exposure \$million |
EEPE \$million |
Multiplier \$million |
EAD post CRM \$million |
RWA \$million |
|
| Mark to market | 17,561 | 21,869 | 32,450 | 11,811 | |||
| Original exposure | N/A | N/A | N/A | ||||
| Standardised approach | N/A | N/A | N/A | N/A | |||
| IMM (for derivatives and SFTs) | N/A | N/A | N/A | N/A | |||
| Of which securities fi nancing transactions | N/A | N/A | N/A | N/A | |||
| Of which derivatives and long settlement transactions |
N/A | N/A | N/A | N/A | |||
| Financial collateral simple method (for SFTs) | N/A | N/A | |||||
| Financial collateral comprehensive method (for SFTs) | 18,832 | 2,941 | |||||
| VaR for SFTs | N/A | N/A | |||||
| Total | 14,752 |
Table 62: Exposures to central counterparties (CCPs) (CCR8)
| 2017 | 2016 | |||
|---|---|---|---|---|
| EAD post CRM \$million |
RWA \$million |
EAD post CRM \$million |
RWA \$million |
|
| Exposures to QCCPs | ||||
| Trade exposure | 8,889 | 181 | 5,793 | 116 |
| Of which OTC derivatives | 4,827 | 100 | 3,197 | 64 |
| Of which exchange-traded derivatives | 2,072 | 41 | 1,794 | 36 |
| Of which SFTs | 1,990 | 40 | 802 | 16 |
| Collateral posted | 1,867 | 38 | 1,460 | 29 |
| Prefunded default fund contributions | 387 | 81 | 178 | 338 |
| Total | 11,143 | 300 | 7,431 | 483 |
The exposures to OTC derivatives increased by \$1.6 billion which is across multiple product lines and an increase of \$1.1 billion in SFT exposures due to growth in repo business.
Table 63: Credit derivatives exposures (CCR6)
| 2017 2016 Bought Sold Total1 Bought Sold \$million \$million \$million \$million \$million 19,409 12,459 31,869 13,960 9,708 2,549 246 2,795 886 408 – – – – – |
|||||||
|---|---|---|---|---|---|---|---|
| Total1 \$million |
|||||||
| Notionals | |||||||
| Credit default swaps | 23,668 | ||||||
| Total return swaps | 1,294 | ||||||
| Credit options | – | ||||||
| Other Credit derivatives | 108 | – | 108 | 72 | 68 | 140 | |
| Total notionals | 22,067 | 12,705 | 34,772 | 14,918 | 10,184 | 25,101 | |
| Fair values | |||||||
| Positive fair value (asset) | 33 | 215 | 249 | 82 | 90 | 171 | |
| Negative fair value (liability) | 873 | – | 873 | 301 | 170 | 472 |
1 Principally related to intermediary activity for Trading
Table 64: Credit valuation adjustment (CVA) capital charge (CCR2)
| 2017 | 2016 | |||
|---|---|---|---|---|
| Exposure Value \$million |
RWA \$million |
Exposure Value \$million |
RWA \$million |
|
| Total portfolios subject to the Advanced Method | – | – | – | – |
| (i) VaR component (including the 3x multiplier) | – | – | – | – |
| (ii) Stressed VaR component (including the 3x multiplier) | – | – | – | – |
| All portfolios subject to the Standardised Method | 19,322 | 503 | 24,900 | 2,290 |
| Based on Original Exposure Method | – | – | – | – |
| Total subject to the CVA capital charge | 19,322 | 503 | 24,900 | 2,290 |
Risk weighted assets for CVA decreased by \$1.7 billion mostly driven by reduction in mark-to-market assets, and increased relief from hedges and RWA optimisation.
Table 65 depicts EAD after the effect of collateral associated with each risk weight prescribed in Part Three, Title II, Chapter 2 of the CRR for counterparty credit risk.
Table 65: Standardised approach – CCR exposures by regulatory portfolio and risk (CCR3)
| 2017 | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Risk Weight | Of | ||||||||||||
| 0% | 2% | 4% | 10% | 20% | 50% | 70% | 75% | 100% | 150% | Others | Total | which unrated |
|
| Standardised Exposure Class | |||||||||||||
| Central governments or central banks | 406 | – | – | – | 4 | 2 | – | – | – | – | – | 412 | – |
| Multilateral development banks | 1,978 | – | – | – | – | – | – | – | – | – | – | 1,978 | – |
| Institutions | – | 8,870 | – | – | 5 | 4 | – | – | – | – | – | 8,879 | – |
| Corporates | – | – | – | – | 1,004 | 1 | – | – | 194 | – | – | 1,199 | 443 |
| Retail | – | – | – | – | – | – | – | – | – | – | – | – | – |
| Secured on real estate property | – | – | – | – | – | – | – | – | – | – | – | – | – |
| Exposures in default | – | – | – | – | – | – | – | – | – | – | – | – | – |
| Items belonging to regulatory high risk categories |
– | – | – | – | – | – | – | – | – | – | – | – | – |
| Other items | – | – | – | – | – | – | – | – | 10 | – | – | 10 | 10 |
| Total Standardised | 2,384 | 8,870 | – | – | 1,013 | 7 | – | – | 204 | – | – 12,478 | 453 |
| 2016 | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Risk Weight | Of which | ||||||||||||
| 0% | 2% | 4% | 10% | 20% | 50% | 70% | 75% | 100% | 150% | Others | Total | unrated | |
| Standardised Exposure Class | |||||||||||||
| Central governments or central banks | 374 | – | – | – | 4 | – | – | – | – | – | – | 378 | – |
| Multilateral development banks | 2,232 | – | – | – | – | – | – | – | – | – | – | 2,232 | – |
| Institutions | – | 5,792 | – | – | – | 17 | – | – | – | – | – | 5,809 | – |
| Corporates | – | – | – | – | 858 | 1 | – | – | 420 | – | – | 1,279 | 542 |
| Retail | – | – | – | – | – | – | – | – | – | – | – | – | – |
| Secured on real estate property | – | – | – | – | – | – | – | – | – | – | – | – | – |
| Exposures in default | – | – | – | – | – | – | – | – | – | – | – | – | – |
| Items belonging to regulatory high risk categories |
– | – | – | – | – | – | – | – | – | 3 | – | 3 | 1 |
| Other items | – | – | – | – | – | – | – | – | 4 | – | – | 4 | 4 |
| Total Standardised | 2,606 | 5,792 | – | – | 862 | 18 | – | – | 424 | 3 | – | 9,705 | 547 |
The exposures to institutions increased by more than \$3 billion mainly to repos cleared through QCCPs within Europe and Americas region.
The following tables provide further detail on the exposure classes subject to counterparty credit risk, in particular for central governments or central banks, institutions, corporates and retail. These have been split by internal credit grades which relate to the PD ranges presented.
¼ Central government and central bank exposures increased by \$3.4 billion due to an increase in repo exposures mainly in ASEAN and GCNA regions
¼ Institutions RWA increased by \$1 billion mainly due to PRA approved IRB model changes relating to LGD fl oors
Table 66: IRB – CCR exposures by exposure class
| 2017 | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| EAD post CRM and post CCF \$million |
Average PD1 % |
Number of obligors2 |
Average LGD1 % |
Average maturity1 Days |
RWA \$million |
RWA density1 % |
||||
| IRB exposure class | ||||||||||
| Central governments or central banks | 6,132 | 0.06 | 122 | 18 | 86 | 664 | 11 | |||
| Institutions | 19,001 | 0.11 | 1,433 | 21 | 227 | 4,398 | 23 | |||
| Corporates | 22,559 | 0.34 | 11,566 | 20 | 184 | 9,283 | 41 | |||
| Of which specialised lending | 1,538 | 1.48 | 475 | 42 | 1,005 | 1,041 | 68 | |||
| Of which SME | 519 | 0.30 | 389 | 66 | 1,141 | 382 | 73 | |||
| Total IRB | 47,692 | 0.22 | 13,121 | 20 | 186 | 14,345 | 30 | |||
| EAD post CRM and post CCF \$million |
Average PD1 % |
Number of obligors2 |
Average LGD1 % |
Average maturity1 Days |
RWA \$million |
RWA density1 % |
|
|---|---|---|---|---|---|---|---|
| IRB exposure class | |||||||
| Central governments or central banks | 2,648 | 0.07 | 128 | 20 | 201 | 360 | 14 |
| Institutions | 20,789 | 0.11 | 1,429 | 15 | 267 | 3,369 | 16 |
| Corporates | 26,991 | 0.28 | 11,883 | 22 | 239 | 10,270 | 38 |
| Of which specialised lending | 1,136 | 1.53 | 130 | 26 | 1,679 | 479 | 42 |
| Of which SME | 807 | 0.41 | 547 | 64 | 1,172 | 535 | 63 |
| Total IRB | 50,427 | 0.20 | 13,440 | 19 | 248 | 13,999 | 28 |
2016
1 Weighted averages are based on exposure at default
2 Number of obligors is based on number of counterparties
Table 67: IRB – CCR exposures by PD scale for central governments or central banks (CCR4)
| 2017 | |||||||
|---|---|---|---|---|---|---|---|
| PD range % |
EAD post CRM and post CCF \$million |
Average PD1 % |
Number of obligors2 |
Average LGD1 % |
Average maturity1 Days |
RWA \$million |
RWA density1 % |
| 0.00 to < 0.15 | 5,461 | 0.03 | 67 | 17 | 81 | 340 | 6 |
| 0.15 to < 0.25 | 453 | 0.22 | 8 | 46 | 11 | 112 | 25 |
| 0.25 to < 0.50 | 11 | 0.51 | 6 | 46 | 365 | 6 | 57 |
| 0.50 to < 0.75 | – | – | – | – | – | – | – |
| 0.75 to < 2.50 | 207 | 1.91 | 32 | 47 | 634 | 206 | 99 |
| 2.50 to < 10.00 | – | 3.51 | 9 | 46 | 365 | – | 124 |
| 10.00 to < 100.00 | – | – | – | – | – | – | – |
| 100.00 (default) | – | – | – | – | – | – | – |
| Total | 6,132 | 0.06 | 122 | 18 | 86 | 664 | 11 |
| 2016 | |||||||
|---|---|---|---|---|---|---|---|
| PD range % |
EAD post CRM and post CCF \$million |
Average PD1 % |
Number of obligors2 |
Average LGD1 % |
Average maturity1 Days |
RWA \$million |
RWA density1 % |
| 0.00 to < 0.15 | 2,433 | 0.02 | 83 | 19 | 200 | 210 | 9 |
| 0.15 to < 0.25 | 9 | 0.22 | 4 | 46 | 365 | 3 | 35 |
| 0.25 to < 0.50 | 14 | 0.42 | 7 | 46 | 365 | 7 | 52 |
| 0.50 to < 0.75 | – | – | – | – | – | – | – |
| 0.75 to < 2.50 | 172 | 1.28 | 22 | 46 | 123 | 123 | 72 |
| 2.50 to < 10.00 | 20 | 3.51 | 12 | 46 | 1,204 | 17 | 88 |
| 10.00 to < 100.00 | – | – | – | – | – | – | – |
| 100.00 (default) | – | – | – | – | – | – | – |
| Total | 2,648 | 0.07 | 128 | 20 | 201 | 360 | 14 |
1 Weighted averages are based on exposure at default
Table 68: IRB – CCR exposures by PD scale for institutions (CCR4)
| 2017 | |||||||
|---|---|---|---|---|---|---|---|
| PD range % |
EAD post CRM and post CCF \$million |
Average PD1 % |
Number of obligors2 |
Average LGD1 % |
Average maturity1 Days |
RWA \$million |
RWA density1 % |
| 0.00 to < 0.15 | 16,976 | 0.05 | 704 | 22 | 234 | 2,884 | 17 |
| 0.15 to < 0.25 | 921 | 0.22 | 115 | 13 | 176 | 489 | 53 |
| 0.25 to < 0.50 | 633 | 0.41 | 192 | 12 | 173 | 480 | 76 |
| 0.50 to < 0.75 | 85 | 0.67 | 54 | 27 | 587 | 78 | 93 |
| 0.75 to < 2.50 | 385 | 1.26 | 347 | 20 | 264 | 467 | 122 |
| 2.50 to < 10.00 | – | 3.51 | 14 | 46 | 365 | – | 75 |
| 10.00 to < 100.00 | – | 13.77 | 7 | 46 | 365 | – | 250 |
| 100.00 (default) | – | – | – | – | – | – | – |
| Total | 19,000 | 0.11 | 1,433 | 21 | 227 | 4,398 | 23 |
| 2016 | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| PD range % |
EAD post CRM and post CCF \$million |
Average PD1 % |
Number of obligors2 |
Average LGD1 % |
Average maturity1 Days |
RWA \$million |
RWA density1 % |
|||
| 0.00 to < 0.15 | 18,152 | 0.05 | 686 | 15 | 258 | 1,923 | 11 | |||
| 0.15 to < 0.25 | 1,289 | 0.22 | 126 | 15 | 301 | 484 | 38 | |||
| 0.25 to < 0.50 | 901 | 0.40 | 200 | 13 | 210 | 501 | 56 | |||
| 0.50 to < 0.75 | 175 | 0.67 | 52 | 15 | 558 | 143 | 82 | |||
| 0.75 to < 2.50 | 272 | 1.89 | 328 | 25 | 819 | 317 | 117 | |||
| 2.50 to < 10.00 | – | 4.22 | 32 | 35 | 365 | 1 | 143 | |||
| 10.00 to < 100.00 | – | 13.77 | 5 | 41 | 365 | – | 223 | |||
| 100.00 (default) | – | – | – | – | – | – | – | |||
| Total | 20,789 | 0.11 | 1,429 | 15 | 267 | 3,369 | 16 |
1 Weighted averages are based on exposure at default
Table 69: IRB – CCR exposures by PD scale for corporates (CCR4)
| 2017 | |||||||
|---|---|---|---|---|---|---|---|
| PD range % |
EAD post CRM and post CCF \$million |
Average PD1 % |
Number of obligors2 |
Average LGD1 % |
Average maturity1 Days |
RWA \$million |
RWA density1 % |
| 0.00 to < 0.15 | 14,168 | 0.05 | 3,773 | 16 | 142 | 2,848 | 20 |
| 0.15 to < 0.25 | 2,600 | 0.22 | 1,795 | 37 | 286 | 1,095 | 42 |
| 0.25 to < 0.50 | 3,238 | 0.43 | 1,978 | 28 | 263 | 2,304 | 71 |
| 0.50 to < 0.75 | 521 | 0.68 | 725 | 35 | 407 | 431 | 83 |
| 0.75 to < 2.50 | 1,638 | 1.37 | 2,011 | 45 | 511 | 1,824 | 111 |
| 2.50 to < 10.00 | 199 | 4.62 | 582 | 66 | 722 | 345 | 173 |
| 10.00 to < 100.00 | 129 | 15.81 | 392 | 14 | 133 | 384 | 298 |
| 100.00 (default) | 17 | 100.00 | 286 | 57 | 517 | 18 | 105 |
| Total | 22,510 | 0.34 | 11,542 | 20 | 183 | 9,249 | 41 |
| PD range % |
EAD post CRM and post CCF \$million |
Average PD1 % |
Number of obligors2 |
Average LGD1 % |
Average maturity1 Days |
RWA \$million |
RWA density1 % |
|---|---|---|---|---|---|---|---|
| 0.00 to < 0.15 | 18,003 | 0.06 | 3,750 | 17 | 198 | 3,296 | 18 |
| 0.15 to < 0.25 | 1,909 | 0.22 | 1,717 | 37 | 373 | 958 | 50 |
| 0.25 to < 0.50 | 3,862 | 0.42 | 2,032 | 31 | 260 | 2,079 | 54 |
| 0.50 to < 0.75 | 855 | 0.67 | 724 | 52 | 697 | 912 | 107 |
| 0.75 to < 2.50 | 1,805 | 1.49 | 2,236 | 53 | 670 | 1,934 | 107 |
| 2.50 to < 10.00 | 411 | 4.86 | 689 | 62 | 487 | 719 | 175 |
| 10.00 to < 100.00 | 105 | 24.95 | 438 | 59 | 512 | 323 | 309 |
| 100.00 (default) | 23 | 100.00 | 271 | 59 | 631 | 36 | 156 |
| Total | 26,973 | 0.28 | 11,857 | 22 | 239 | 10,257 | 38 |
2016
1 Weighted averages are based on exposure at default
Table 70: IRB – CCR exposures by PD scale for corporates – specialised lending (CCR4)
| 2017 | |||||||
|---|---|---|---|---|---|---|---|
| PD range % |
EAD post CRM and post CCF \$million |
Average PD1 % |
Number of obligors2 |
Average LGD1 % |
Average maturity1 \$million |
RWA \$million |
RWA density1 % |
| 0.00 to < 0.15 | 416 | 0.10 | 59 | 30 | 1,425 | 107 | 26 |
| 0.15 to < 0.25 | 308 | 0.22 | 42 | 57 | 759 | 150 | 49 |
| 0.25 to < 0.50 | 248 | 0.47 | 97 | 44 | 1,017 | 163 | 66 |
| 0.50 to < 0.75 | 76 | 0.67 | 31 | 33 | 744 | 67 | 88 |
| 0.75 to < 2.50 | 393 | 1.38 | 148 | 47 | 801 | 445 | 113 |
| 2.50 to < 10.00 | 30 | 4.21 | 33 | 27 | 1,394 | 29 | 97 |
| 10.00 to < 100.00 | 18 | 71.90 | 15 | 44 | 1,802 | 43 | 246 |
| 100.00 (default) | 1 | 100.00 | 26 | 21 | 1,228 | 2 | 188 |
| Total | 1,490 | 1.50 | 451 | 42 | 1,015 | 1,006 | 67 |
| 2016 | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| PD range % |
EAD post CRM and post CCF \$million |
Average PD1 % |
Number of obligors2 |
Average LGD1 % |
Average maturity1 \$million |
RWA \$million |
RWA density1 % |
|||
| 0.00 to < 0.15 | 658 | 0.10 | 27 | 24 | 1,694 | 149 | 23 | |||
| 0.15 to < 0.25 | 60 | 0.22 | 7 | 26 | 1,732 | 23 | 38 | |||
| 0.25 to < 0.50 | 161 | 0.45 | 13 | 35 | 1,703 | 106 | 66 | |||
| 0.50 to < 0.75 | 20 | 0.67 | 5 | 44 | 1,826 | 20 | 100 | |||
| 0.75 to < 2.50 | 186 | 1.77 | 38 | 27 | 1,624 | 132 | 71 | |||
| 2.50 to < 10.00 | 24 | 5.80 | 9 | 27 | 1,245 | 25 | 107 | |||
| 10.00 to < 100.00 | 10 | 99.90 | 1 | 16 | 1,826 | 11 | 115 | |||
| 100.00 (default) | 1 | 100.00 | 4 | 18 | 1,704 | – | – | |||
| Total | 1,119 | 1.53 | 104 | 26 | 1,679 | 467 | 42 |
1 Weighted averages are based on exposure at default
Table 71: IRB – CCR exposures by PD scale for corporates – SME (CCR4)
| 2017 | |||||||
|---|---|---|---|---|---|---|---|
| PD range % |
EAD post CRM and post CCF \$million |
Average PD1 % |
Number of obligors2 |
Average LGD1 % |
Average maturity1 \$million |
RWA \$million |
RWA density1 % |
| 0.00 to < 0.15 | 229 | 0.12 | 29 | 66 | 783 | 93 | 41 |
| 0.15 to < 0.25 | 154 | 0.22 | 35 | 60 | 1,823 | 130 | 84 |
| 0.25 to < 0.50 | 111 | 0.46 | 41 | 71 | 771 | 98 | 89 |
| 0.50 to < 0.75 | – | 0.67 | 24 | 60 | 365 | – | 71 |
| 0.75 to < 2.50 | 24 | 1.56 | 134 | 96 | 1,169 | 60 | 248 |
| 2.50 to < 10.00 | 1 | 4.96 | 58 | 53 | 510 | 1 | 161 |
| 10.00 to < 100.00 | – | 37.65 | 14 | 25 | 525 | – | 445 |
| 100.00 (default) | – | 100.00 | 54 | 38 | 365 | – | 335 |
| Total | 519 | 0.30 | 389 | 66 | 1,141 | 382 | 73 |
| 2016 |
| PD range % |
EAD post CRM and post CCF \$million |
Average PD1 % |
Number of obligors2 |
Average LGD1 % |
Average maturity1 \$million |
RWA \$million |
RWA density1 % |
|---|---|---|---|---|---|---|---|
| 0.00 to < 0.15 | 523 | 0.07 | 38 | 61 | 1,228 | 171 | 33 |
| 0.15 to < 0.25 | 1 | 0.22 | 28 | 74 | 373 | – | 47 |
| 0.25 to < 0.50 | 2 | 0.47 | 52 | 44 | 401 | 2 | 83 |
| 0.50 to < 0.75 | 249 | 0.67 | 28 | 70 | 1,138 | 301 | 121 |
| 0.75 to < 2.50 | 24 | 2.27 | 166 | 69 | 864 | 45 | 183 |
| 2.50 to < 10.00 | 8 | 5.11 | 72 | 40 | 410 | 15 | 180 |
| 10.00 to < 100.00 | – | 19.01 | 16 | 63 | 767 | 1 | 274 |
| 100.00 (default) | – | 100.00 | 57 | 70 | 365 | – | 75 |
| Total | 807 | 0.41 | 457 | 64 | 1,172 | 535 | 66 |
1 Weighted averages are based on exposure at default
3.10 Securitisation
Securitisation is defi ned as a structure where the cash fl ow from a pool of assets is used to service obligations to at least two different tranches or classes of creditors.
Securitisations may be categorised as either:
- ¼ Traditional securitisation: assets are sold to a Special Purpose Entity (SPE), which fi nances the purchase by issuing notes in different tranches with different risk and return profi les. Cash fl ow arising from those assets is used by the SPE to service its debt obligations
- ¼ Synthetic transaction: a securitisation whereby only the credit risk, or part of the credit risk of a pool of assets is transferred to a third party via credit derivatives. The pool of assets remains on the Group's balance sheet
Securitisation activities are undertaken by the Group for a variety of purposes, by various businesses acting in a different capacity:
- ¼ Risk mitigation, funding and capital management (as originator)
- ¼ Fee generation (as arranger/ lead manager)
- ¼ Risk taking (as investor)
The Group has \$22.4 billion (2016: \$23.5 billion) of EAD classifi ed as securitisation positions, as shown in Table 74 on page 74. These transactions meet the criteria to qualify as securitisation positions under the PRA's securitisation framework and the particulars of these transactions are discussed below.
Asset backed securities
The carrying value of asset backed securities (ABS) of \$6.4 billion (2016: \$6 billion), held either as investments or arranged for clients, represents 1 per cent of the Group's total assets (2016: 1 per cent).
The portfolio comprises of a mix of clientbased trades, market making and a portfolio of liquid ABS investments for the Treasury Markets (TM) book. These purchases by TM are governed by a set of portfolio limits and standards which include an aggregate portfolio limit besides sub limits on the underlying collateral types, jurisdictions, originators, issue size, seniority, rating and tenor.
The credit quality of the ABS portfolio remains strong, with over 99 per cent of the overall portfolio rated Investment Grade, and 68 per cent of the overall portfolio is rated as AAA. The portfolio is broadly diversifi ed across asset classes and geographies, with an average credit grade of AA. Residential mortgage-backed securities (RMBS) make up 43 per cent of the overall portfolio and have a weighted averaged credit rating of AAA (AAA in 2016).
Other ABS include Auto ABS, comprising 30 per cent of the overall portfolio, and credit card ABS (14 per cent) both maintain a weighted average credit rating of AAA. The balance of Other ABS mainly includes securities backed by diversifi ed payment rights, and receivables ABS.
The notional and carrying values of the ABS purchased or retained by the Group are shown in the table below analysed by underlying asset type. ABS are accounted for as fi nancial assets. For further details regarding recognition and impairment, refer to the note 24 to the fi nancial statements of the 2017 Annual Report and Accounts, page 258. The ABS portfolio is assessed frequently for objective evidence of impairment. In 2017, there were no additional impairments in the portfolio.
Valuation of retained interest is initially and subsequently determined using market price quotations where available or internal pricing models that utilise variables such as yield curves, prepayment speeds, default rates, loss severity, interest rate volatilities and spreads. The assumptions used for valuation are based on observable transactions in similar securities and are verifi ed by external pricing sources, where available.
The ABS portfolio is closely managed by a centralised dedicated team. The team has developed a detailed analysis and reporting framework of the underlying portfolio to allow senior management to make an informed holding decision with regards to specifi c assets, asset classes or parts of an asset class. These ABS portfolio reports are closely monitored by the Risk function in the Group.
The notional and carrying values of the ABS purchased or retained by the Group are shown below in the table analysed by underlying asset type.
Table 72: Securitisation – ABS purchased or retained
| 2017 | 2016 | |||||
|---|---|---|---|---|---|---|
| Notional amount | Notional amount | |||||
| Carrying value of asset backed securities \$million |
Traditional securitisation programmes \$million |
Synthetic securitisation programmes \$million |
Carrying value of asset backed securities \$million |
Traditional securitisation programmes \$million |
Synthetic securitisation programmes \$million |
|
| Residential Mortgage Backed Securities (RMBS) |
2,812 | 2,814 | – | 2,248 | 2,248 | – |
| Collateralised Debt Obligations (CDOs) | 70 | 74 | 1 | 8 | 28 | – |
| Commercial Mortgage Backed Securities (CMBS) |
29 | 63 | – | 19 | 50 | – |
| Auto asset backed securities | 1,952 | 1,953 | – | 1,381 | 1,382 | – |
| Credit cards asset backed securities | 845 | 845 | – | 1,639 | 1,638 | – |
| Other asset backed securities | 720 | 720 | – | 696 | 694 | 3 |
| 6,428 | 6,469 | 1 | 5,991 | 6,040 | 3 | |
| Of which included within: | – | – | – | |||
| Financial assets held at fair value through profi t or loss |
885 | 886 | 1 | 172 | 169 | 3 |
| Investment securities – available-for-sale | 4,106 | 4,145 | – | 4,330 | 4,380 | – |
| Investment securities – loans and receivables | 1,437 | 1,438 | – | 1,489 | 1,491 | – |
| 6,428 | 6,469 | 1 | 5,991 | 6,040 | 3 |
3.10 Securitisation continued
Capital Structuring & Distribution Group Securitisation
The Group via its Capital Structuring & Distribution Group (CSDG) Securitisation unit buys synthetic protection for its banking book credit portfolio. Securitisation provides capacity for client-focused growth and improves effi ciency of economic and regulatory capital. The Group as the originator performs multiple roles, including protection buyer, calculation agent and credit event monitor agent. The protection buyer executes and maintains securitisation transactions. The calculation agent computes periodic coupon payments and loss payouts. The credit event monitor agent validates and provides notifi cations of credit events.
Treasury Markets unit performs a different role, acting as deposit taker for funds collected from the credit protection providers. Deposits collected eliminate counterparty risk for transactions where the Group is the protection buyer.
The securitised assets consist of commercial loans and trade fi nance facilities extended by the Group's branches and subsidiaries to borrowers mainly from the emerging markets in Asia, Africa and Middle East. The securitised assets are subject to changes in general economic conditions, performance of relevant fi nancial markets, political events and developments or trends in a particular industry. Historically, the trading volume of loans in these emerging markets has been small relative to other more developed debt markets due to limited liquidity in the secondary loan market.
The securitised assets are originated by the Group in its ordinary course of business. Given the synthetic nature of securitisations originated by CSDG Securitisation unit, the securitised assets remain on the Group's balance sheet and continue to be subject to the Group's credit review and monitoring process and risk methodology. Accordingly retained positions are not hedged.
In its role as credit event monitor agent, CSDG Securitisation unit monitors the credit risk of the underlying securitised assets by leveraging on the Group's client and risk management system.
As of 31 December 2017, \$42 million of Trade Finance (2016: \$37 million) and \$31 million of Commercial Loans (2016: \$45 million) totalling \$73 million (2016: \$82 million) of securitised exposures were classifi ed as impaired and past due. The year-on-year increase in Trade
Finance is driven by continued seasoning of the securitisation programme. The year-onyear decrease in Commercial Loans is mainly attributable to one securitisation transaction maturing in 2017 and hence the impaired and past due referenced have dropped off.
The Group has fi ve synthetic securitisation transactions originated and managed by CSDG Securitisation unit, with an aggregate hedge capacity of \$16.0 billion (2016: \$17.5 billion). Of the fi ve transactions, three are private transactions with bilateral investors and two are public transactions distributed to a broad spectrum of investors. All fi ve transactions are structured as non-disclosed pools for reason of client confi dentiality. No new securitisation transaction was originated in 2017 to replace matured transactions.
CSDG Securitisation unit as the originator has not acted as sponsor to securitise third-party exposures and does not manage or advise any third-party entity that invests in the securitisation positions. Table 73 provides details of current securitisation programmes originated and managed by the Group.
The Group has engaged in structures, such as the ones outlined in Table 73, in order to transfer credit risk of a pool of assets to a third party via credit derivatives.
Typically, these synthetic securitisation transactions are facilitated through entities which are considered to be SPEs for accounting purposes.
In these transactions, the underlying assets are not sold into the relevant SPE. Instead, the credit risk of the underlying assets is transferred to the SPEs synthetically via credit default swaps whereby the SPEs act as sellers of credit protection and receive premiums paid by the Group in return. The SPEs in turn issue credit-linked notes to third-party investors who fund the credit protection in exchange for coupon on the notes purchased. The premium received by the SPEs and interest earned on the funded amount of the purchased notes are passed through to the third-party investors as coupon on the purchased notes. Payment to the third-party investors is made in accordance with the priority of payments stipulated in the transaction documents.
Governance of securitisation activities
Securitisation transactions proposed for funding and capital management must obtain support from the Operational Balance Sheet Committee (OBSC), which manages the capital requirements of the business. For a securitisation transaction that will lead to
reduction in regulatory capital, it must be submitted to UK PRA for review and only upon receipt of a non-objection letter will the transaction be executed.
Execution of each securitisation transaction must either be under a Product Programme Framework or an individual Transaction Programme Authorisation; such that all relevant support, control and risk functions are involved in the transaction. Specifi cally, Compliance covers issues like confi dentiality of clients' information and insider information, Group Tax provides an opinion on taxation, Group Risk advises on the regulatory treatment and Finance advises on the accounting treatment and facilitates communication with the regulator.
Basel III for securitisation positions
The calculation of risk-weighted exposure amounts for securitisation positions is based on the following two calculation methods advised by the PRA:
- ¼ IRB method for third-party senior securitisation positions bought and securitisation positions originated and retained by the Group (including haircuts due to currency and collateral mismatch)
- ¼ Standardised Approach for the residual risk-weighted exposure amounts for all other securitisation positions originated by the Group and sold. For instance, risk-weight substitution under the Standardised Approach is adopted in unfunded transactions where cash collateral is with a third party
All existing securitisation transactions originated by the Group, in Table 73, meet the credit risk transfer requirement to be accounted for as securitisations under the CRR.
Accounting
The Group's approach to accounting for SPEs can be found in the notes to the fi nancial statements in the 2017 Annual Report and Accounts.
All programmes listed in the tables below are rated by an external credit assessment institution, namely Moody's.
3.10 Securitisation continued
Table 73: Securitisation programmes (as originator)
| 2017 | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| Underlying facilities hedged |
Public/ Private |
Start date | Scheduled maturity |
Maximum notional \$million |
Retained exposures \$million |
Outstanding exposures \$million |
Capital requirement before securitisation \$million |
Capital requirement after securitisation \$million |
|
| Sumeru II | Commercial Loan | Private | Dec-14 | Jun-18 | 3,492 | 3,255 | 2,822 | 150 | 68 |
| Shangren III Trade Finance | Private | Jun-15 | Sep-18 | 3,987 | 3,760 | 3,597 | 217 | 63 | |
| Sealane III | Trade Finance | Public | Jun-15 | Dec-18 | 2,992 | 2,835 | 2,628 | 154 | 52 |
| Start X | Commercial Loan | Public | Sep-15 | Mar-19 | 3,496 | 3,264 | 3,195 | 171 | 74 |
| Baruntse | Commercial Loan | Private | Nov-15 | May-19 | 1,997 | 1,865 | 1,834 | 103 | 42 |
| Total | 15,964 | 14,979 | 14,076 | 795 | 299 |
2016
| Underlying facilities hedged |
Public/ Private |
Start date | Scheduled maturity |
Maximum notional \$million |
Retained exposures \$million |
Outstanding exposures \$million |
Capital requirement before securitisation \$million |
Capital requirement after securitisation \$million |
|
|---|---|---|---|---|---|---|---|---|---|
| Start IX | Commercial Loan | Public | Apr-14 | Oct-17 | 1,485 | 1,395 | 1,335 | 82 | 19 |
| Sumeru II | Commercial Loan | Private | Dec-14 | Jun-18 | 3,495 | 3,255 | 3,097 | 162 | 71 |
| Shangren III | Trade Finance | Private | Jun-15 | Sep-18 | 3,990 | 3,760 | 3,766 | 214 | 65 |
| Sealane III | Trade Finance | Public | Jun-15 | Dec-18 | 2,994 | 2,835 | 2,812 | 157 | 54 |
| Start X | Commercial Loan | Public | Sep-15 | Mar-19 | 3,497 | 3,264 | 3,184 | 189 | 76 |
| Baruntse | Commercial Loan | Private | Nov-15 | May-19 | 1,997 | 1,865 | 1,789 | 109 | 42 |
| Total | 17,458 | 16,374 | 15,983 | 913 | 327 |
The following tables show the distribution of the Group's securitisation exposures across risk-weights and how these relate to external credit ratings. The vast majority of the Group's exposure to securitisation programmes is to the higher-rated tranches. The External Ratings Based Method is used to calculate risk-weights for all the rated tranches. Those exposures where the Group uses the supervisory formula approach to determine credit risk capital requirements relates to certain originated securitisations.
Table 74: Securitisation positions by risk-weight category
| 2017 | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Originated | |||||||||||
| Senior | Non Senior | Non Granular Pools | ABS | Total | |||||||
| Credit Assessments Moody's |
Risk weight % |
Exposure \$ million |
Capital require ment \$ million |
Exposure \$ million |
Capital require ment \$ million |
Exposure \$ million |
Capital require ment \$ million |
Exposure \$ million |
Capital require ment \$ million |
Exposure \$ million |
Capital require ment \$ million |
| Aaa | 7% to 20% | 12,049 | 72 | 385 | 4 | – | – | 4,414 | 26 | 16,848 | 102 |
| Aa | 8% to 25% | – | – | – | – | – | – | 873 | 6 | 873 | 6 |
| A1 | 10% to 35% | – | – | 1,445 | 22 | – | – | 52 | 1 | 1,497 | 23 |
| A2 | 12% to 35% | – | – | – | – | – | – | 59 | 1 | 59 | 1 |
| A3 | 20% to 35% | – | – | 445 | 13 | – | – | 340 | 6 | 785 | 19 |
| Baa1 | 35% to 50% | – | – | 374 | 16 | – | – | 276 | 8 | 650 | 24 |
| Baa2 | 60% to 75% | – | – | – | – | – | – | 304 | 15 | 304 | 15 |
| Baa3 | 100% | – | – | 120 | 10 | – | – | 108 | 9 | 228 | 19 |
| Ba1 | 250% | – | – | – | – | – | – | – | – | – | – |
| Ba2 | 425% | – | – | – | – | – | – | 1 | 1 | 1 | 1 |
| Ba3 | 650% | – | – | – | – | – | – | – | – | – | – |
| Supervisory formula | – | – | 1,021 | 39 | – | – | – | – | 1,021 | 39 | |
| Deductions | – | – | 125 | – | – | – | 42 | 1 | 167 | 1 | |
| Total1 | 12,049 | 72 | 3,915 | 104 | – | – | 6,469 | 74 | 22,433 | 250 |
1 See Table 12: Overview of RWA (OV1)
3.10 Securitisation continued
Table 74: Securitisation positions by risk-weight category continued
| 2016 | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Originated | |||||||||||
| Senior | Non Senior | Non Granular Pools | ABS | Total | |||||||
| Credit Assessments Moody's |
Risk weight % |
Exposure \$ million |
Capital require ment \$ million |
Exposure \$ million |
Capital require ment \$ million |
Exposure \$ million |
Capital require ment \$ million |
Exposure \$ million |
Capital require ment \$ million |
Exposure \$ million |
Capital require ment \$ million |
| Aaa | 7% to 20% | 13,100 | 78 | 430 | 4 | – | – | 5,206 | 30 | 18,736 | 113 |
| Aa | 8% to 25% | – | – | – | – | – | – | 102 | 1 | 102 | 1 |
| A1 | 10% to 35% | – | – | 1,625 | 25 | – | – | 69 | 1 | 1,694 | 26 |
| A2 | 12% to 35% | – | – | – | – | – | – | 34 | – | 34 | – |
| A3 | 20% to 35% | – | – | 475 | 14 | – | – | 555 | 9 | 1,030 | 23 |
| Baa1 | 35% to 50% | – | – | 434 | 18 | – | – | – | – | 434 | 18 |
| Baa2 | 60% to 75% | – | – | – | – | – | – | 25 | 1 | 25 | 1 |
| Baa3 | 100% | – | – | 135 | 11 | – | – | – | – | 135 | 11 |
| Ba1 | 250% | – | – | – | – | – | – | – | – | – | – |
| Ba2 | 425% | – | – | – | – | – | – | – | – | – | – |
| Ba3 | 650% | – | – | – | – | – | – | – | – | – | – |
| Supervisory formula | – | – | 1,126 | 42 | – | – | – | – | 1,126 | 42 | |
| Deductions | – | – | 133 | – | – | – | 52 | – | 184 | – | |
| Total1 | 13,100 | 78 | 4,358 | 115 | – | – | 6,043 | 42 | 23,501 | 235 |
1 See Table 12: Overview of RWA (OV1)
In the following table, securitisation programmes present the maximum notional of the securitised exposures by geography.
Table 75: Securitisation positions by region
| 2017 | 2016 | |||||||
|---|---|---|---|---|---|---|---|---|
| Securitisation programmes \$million |
ABS \$million |
Total \$million |
Securitisation programmes \$million |
ABS \$million |
Total \$million |
|||
| Greater China & North Asia | 6,022 | 959 | 6,981 | 5,902 | 514 | 6,416 | ||
| ASEAN & South Asia | 5,247 | 1,534 | 6,781 | 5,909 | 899 | 6,808 | ||
| Africa & Middle East | 2,818 | 586 | 3,404 | 3,272 | 579 | 3,851 | ||
| Europe & Americas | 1,877 | 3,390 | 5,266 | 2,375 | 4,051 | 6,426 | ||
| Total | 15,964 | 6,469 | 22,433 | 17,458 | 6,043 | 23,501 |
4. Market risk
The primary categories of market risk for the Group are:
- ¼ Interest rate risk: arising from changes in yield curves, credit spreads and implied volatilities on interest rate options
- ¼ Currency exchange rate risk: arising from changes in exchange rates and implied volatilities on foreign exchange options
- ¼ Commodity price risk: arising from changes in commodity prices and implied volatilities on commodity options; covering energy, precious metals, base metals and agriculture
- ¼ Credit spread risk: arising from changes in the credit spread of its derivatives' counterparties through CVA accounting
Interest rate risk from non-trading book portfolios is transferred to local Treasury Markets (TM) desks under the supervision of local Asset and Liability Committees. TM deals in the market in approved fi nancial instruments in order to manage the net interest rate risk, subject to approved value-at-risk (VaR) and risk limits.
Trading book
The Trading book contains positions held with trading intent or hedges for such
Regulatory VaR vs Management VaR
positions. The Trading Book Policy Statement identifi es the policies and procedures determining the positions included in the Trading book and their risk management and valuation. The Market Risk Framework sets out the Group's standard systematic approach to managing market risk. All trading book desks are subject to market risk limits. Market and Traded Credit Risk, an independent risk control function, monitors the limits and reports daily to senior management.
Valuation framework
Valuation of fi nancial assets and liabilities held at fair value is subject to an independent review by Valuation Control within the Finance function. For those fi nancial assets and liabilities whose fair value is determined by reference to externally quoted prices or market observable pricing inputs or to a valuation model, an assessment is made by Valuation Control against external market data and consensus services. Valuation Control also ensures adherence to the valuation adjustment policies to incorporate bid/ask spreads, model risk and other reserves, and, where appropriate, to mark all positions in accordance with prevailing accounting and regulatory guidelines.
The Valuation and Benchmarks Committee (VBC), a sub-committee of the Corporate and Institutional Banking Risk Committee, provides oversight and governance of all fi nancial markets valuation adjustments and price testing policies and reviews the results of the valuation control process on a monthly basis. In addition, the VBC also provides governance over the Group's benchmark rates review process.
Our approach to market risk can be found in the Risk management approach section in the 2017 Annual Report and Accounts on pages 169 to 170.
Management VaR
Management VaR is one of the tools used by management to monitor the total market risk within the trading and banking books.
Regulatory VaR
Regulatory VaR is used to estimate the potential loss, from market movements, across trading book positions for which the Bank has received permission to apply the internal model approach (IMA). Regulatory VaR, including Stressed VaR and Risk Not in VaR (RNIV) measures, is used to calculate market risk RWAs for positions falling under the IMA permission.
| Regulatory VaR | Management VaR |
|---|---|
| 99% | 97.5% |
| 260 business days unweighted | 260 business days unweighted |
| 1 day | 1 day |
| square root of 10 | |
| 1 day | 1 day |
| Model Approval (IMA) | All non-structural market risk exposures across the trading and non-trading books |
| Scaled to 10-day VaR by multiplying by the As approved by the PRA, under Internal |
The VaR simulation applies full revaluation to all products, except for the simpler products where appropriate sensitivity-based or cash fl ow-based approaches are applied:
- ¼ FX and simple cash fl ow products: fi rst order sensitivities are applied
- ¼ Bonds: cash fl ows discounted with a single benchmark yield curve adjusted by the IR VaR shocks
Both management and regulatory VaR simulations apply the same valuation approaches.
The VaR simulations currently generally apply relative returns to most market risk factors except interest rates where absolute changes in zero coupon yields are applied.
The PRA has granted the Group permission to apply IMA for the following entities:
| Standard Chartered Bank | Solo and consolidated |
|---|---|
| Standard Chartered Bank (Singapore) Ltd | Consolidated |
| Standard Chartered Bank (Hong Kong) Ltd | Consolidated |
| Standard Chartered Securities (India) Ltd | Consolidated |
| Standard Chartered Bank (Brasil) S.A. – Banco de Investimento | Consolidated |
| Standard Chartered Bank (China) Ltd | Consolidated |
| Standard Chartered Investments and Loans (India) Ltd | Consolidated |
| PT Standard Chartered Securities Indonesia | Consolidated |
| Standard Chartered Bank Korea Ltd | Consolidated |
| Standard Chartered Bank Malaysia Berhad | Consolidated |
| Standard Chartered Bank (Taiwan) Ltd | Consolidated |
| Standard Chartered Bank (Thai) PCL | Consolidated |
| Standard Chartered Bank (Vietnam) Ltd | Consolidated |
Backtesting
Backtesting is performed to ensure that the VaR model is fi t for purpose. It measures the ability of the model to correctly refl ect the potential level of losses under normal trading conditions, for a certain confi dence level.
A backtesting breach is recorded when the net trading P&L loss in one day is greater than the estimated VaR for the same day. Prudential regulation specifi es that a model with fewer than fi ve backtesting exceptions in a 12-month period is deemed to be in the 'green zone'. During 2017, the Group remained in the 'green zone'.
Stressed VaR
Stressed VaR applies the same model as for regulatory VaR but using a one-year historical observation period from a stressed period relevant to the trading book portfolio. In 2017, the stressed period applied was the 260 business days ending 30 June 2009 refl ecting the Global Financial Crisis.
Stress testing
Group-wide stress testing is performed to measure the potential loss on a portfolio of fi nancial positions due to low probability market events or risk to the Group posed by a breakdown of risk model assumptions.
So stress testing supplements the use of VaR as the primary measure of risk. The roles and responsibilities of the various business functions are set out in the Market Risk Stress Testing Policy.
Market risk changes
The average level of Total Trading and Non-trading VaR in 2017 was lower than in 2016 by 19 per cent and the actual level of Total VaR as at end December was 25 per cent lower than in 2016. These declines were both primarily due to reduced market volatility in the historical time series. In 2016, the VaR had been elevated by events such as the devaluation of Chinese Renminbi in August 2015 and uncertainty about the timing of anticipated US interest rate rises.
Trading book interest rate VaR and trading book total VaR results are not comparable year-on-year as the 2017 fi gures include XVA desk VaR but the 2016 fi gures do not.
Table 76: Daily value at risk (VaR at 97.5%, one day)
| 2017 | 2016 | |||||||
|---|---|---|---|---|---|---|---|---|
| Average \$million |
High1 \$million |
Low1 \$million |
Actual2 \$million |
Average \$million |
High1 \$million |
Low1 \$million |
Actual2 \$million |
|
| Trading and Non-trading | ||||||||
| Interest rate risk3,6 | 22.6 | 28.5 | 18.1 | 18.7 | 27.7 | 32.7 | 24.1 | 25.3 |
| Foreign exchange risk | 5.5 | 12.3 | 3.0 | 6.0 | 6.3 | 12.2 | 3.7 | 9.4 |
| Commodity risk | 1.2 | 2.0 | 0.6 | 1.0 | 1.9 | 3.1 | 1.0 | 1.4 |
| Equity risk | 7.7 | 8.4 | 6.4 | 6.7 | 10.0 | 13.1 | 6.9 | 8.1 |
| Total4,6 | 25.7 | 32.4 | 20.3 | 22.3 | 31.6 | 38.8 | 26.4 | 29.9 |
| Trading5 | ||||||||
| Interest rate risk3,6 | 10.1 | 13.1 | 7.7 | 8.5 | 6.7 | 10.3 | 4.7 | 6.8 |
| Foreign exchange risk | 5.5 | 12.3 | 3.0 | 6.0 | 6.3 | 12.2 | 3.7 | 9.4 |
| Commodity risk | 1.2 | 2.0 | 0.6 | 1.0 | 1.9 | 3.1 | 1.0 | 1.4 |
| Equity risk | 0.1 | 0.4 | 0.1 | 0.1 | 0.4 | 1.3 | 0.1 | 0.1 |
| Total4,6 | 12.1 | 15.7 | 8.3 | 10.9 | 10.6 | 18.7 | 7.5 | 11.6 |
| Non-trading | ||||||||
| Interest rate risk3 | 19.5 | 23.1 | 14.4 | 14.4 | 26.3 | 31.4 | 21.5 | 22.8 |
| Equity risk | 7.6 | 8.1 | 6.2 | 6.6 | 9.8 | 12.5 | 6.9 | 8.1 |
| Total4 | 21.7 | 27.6 | 16.3 | 16.3 | 30.7 | 35.1 | 24.6 | 27.3 |
1 Highest and lowest VaR for each risk factor are independent and usually occur on different days
2 Actual one day VaR at year end date
3 Interest rate risk VaR includes credit spread risk arising from securities held for trading or available-for-sale
4 The total VaR shown in the table above is not a sum of the component risks due to offsets between them
5 Trading book for market risk is defi ned in accordance with the EU Capital Requirements Regulation (CRDIV/CRR) Part 3 Title I Chapter 3 which restricts the positions permitted in the trading book. This regulatory defi nition is narrower than the accounting defi nition of the trading book within IAS39 'Financial Instruments: Recognition and Measurement'
6 XVA (Credit and Funding Valuation Adjustment): In 2016 the XVA desk VaR was incompletely refl ected in the related total VaR lines as follows:
¼ Total trading and non-trading VaR and Total trading and non-trading interest rate VaR refl ected XVA desk VaR but only from 1 August 2016 onwards
¼ Total trading VaR and trading interest rate VaR fi gures did not refl ect XVA VaR at all in 2016
The following table sets out how trading and non-trading VaR is distributed across the Group's products.
Table 77: Daily value at risk (VaR at 97.5%, one day) by products
| 2017 | 2016 | |||||||
|---|---|---|---|---|---|---|---|---|
| Average \$million |
High1 \$million |
Low1 \$million |
Actual2 \$million |
Average \$million |
High1 \$million |
Low1 \$million |
Actual2 \$million |
|
| Trading and Non-trading | 25.7 | 32.4 | 20.3 | 22.3 | 31.6 | 38.8 | 26.4 | 29.9 |
| Trading4 | ||||||||
| Rates | 5.9 | 8.6 | 4.4 | 5.1 | 5.2 | 8.6 | 3.3 | 5.8 |
| Global Foreign Exchange | 5.5 | 12.3 | 3.0 | 6.0 | 6.3 | 12.2 | 3.7 | 9.4 |
| Credit Trading & Capital Markets | 4.6 | 6.9 | 2.6 | 4.9 | 3.0 | 5.3 | 2.2 | 3.2 |
| Commodities | 1.2 | 2.0 | 0.6 | 1.0 | 1.9 | 3.1 | 1.0 | 1.4 |
| Equities | 0.1 | 0.4 | 0.1 | 0.1 | 0.4 | 1.3 | 0.1 | 0.1 |
| XVA5 | 5.5 | 8.3 | 3.0 | 3.0 | 9.8 | 12.0 | 6.6 | 6.6 |
| Total3 | 12.1 | 15.7 | 8.3 | 10.9 | 10.6 | 18.7 | 7.5 | 11.6 |
| Non-trading | ||||||||
| Asset & Liability Management | 19.5 | 23.1 | 14.4 | 14.4 | 26.3 | 31.4 | 21.5 | 22.8 |
| Listed private equity | 7.6 | 8.1 | 6.2 | 6.6 | 9.8 | 12.5 | 6.9 | 8.1 |
| Total3 | 21.7 | 27.6 | 16.3 | 16.3 | 30.7 | 35.1 | 24.6 | 27.3 |
1 Highest and lowest VaR for each risk factor are independent and usually occur on different days
2 Actual one day VaR at year end date
3 The total VaR shown in the table above is not a sum of the component risks due to offsets between them
4 Trading book for market risk is defi ned in accordance with the EU Capital Requirements Regulation (CRDIV/CRR) Part 3 Title I Chapter 3 which restricts the positions permitted in the trading book. This regulatory defi nition is narrower than the accounting defi nition of the trading book within IAS39 'Financial Instruments: Recognition and Measurement'
5 XVA (Credit and Funding Valuation Adjustment): In 2016 the XVA desk VaR refl ects a period from 1 August 2016 to 30 December 2016
Market risk regulatory capital requirements
The CRR specifi es minimum capital requirements against market risk in the trading book. Interest rate risk in the non-trading book is covered separately under the Pillar 2 framework.
The PRA has granted the Group permission to use the internal model approach (IMA) covering the majority of interest rate, foreign exchange, precious metals, base metals, energy and agriculture market risk in the trading book. Positions outside the IMA scope are assessed according to standard PRA rules.
The minimum regulatory market risk capital requirements for the trading book are presented below for the Group.
Table 78: Market risk regulatory capital requirements
| 2017 | 2016 | Regulatory capital requirement \$million 314 1 70 17 |
||||
|---|---|---|---|---|---|---|
| Market risk capital requirements for trading book | Risk Weighted Assets \$million |
Regulatory capital requirement \$million |
Risk Weighted Assets \$million |
|||
| Interest rate1 | 8,156 | 652 | 3,918 | |||
| Equity | 13 | 1 | 17 | |||
| Options | 1,089 | 87 | 877 | |||
| Commodity2 | 231 | 19 | 217 | |||
| Foreign exchange2 | 775 | 62 | 3,701 | 296 | ||
| Internal Models Approach3 | 12,776 | 1,022 | 13,147 | 1,052 | ||
| Total | 23,040 | 1,843 | 21,877 | 1,750 |
1 Securitisation positions contributed \$11.9 million to the interest rate position risk requirement (PRR) and \$149.1 million to interest rate RWA as at 31 December 2017 (securitised positions contributed \$5.1million to the interest rate PRR and \$63.3 million to interest rate RWA as at 31 December 2016)
2 Commodity and foreign exchange cover non-trading book as well as trading book
3 Where the risks are not within the approved scope of the internal models approach, they are captured in the relevant category above based on the Standardised Approach
Table 79: Market risk under standardised approach (MR1)
| 2017 | 2016 | |||
|---|---|---|---|---|
| Risk Weighted Assets \$million |
Regulatory capital requirement \$million |
Risk Weighted Assets \$million |
Regulatory capital requirement \$million |
|
| Outright products | ||||
| Interest rate risk | 8,365 | 669 | 3,918 | 314 |
| Equity risk | 4 | – | 17 | 1 |
| Foreign exchange risk | 997 | 80 | 3,701 | 296 |
| Commodity risk | 192 | 15 | 217 | 17 |
| Options | 706 | 56 | 877 | 70 |
| Simplifi ed approach | – | – | – | – |
| Delta-plus method | 12 | 1 | – | – |
| Scenario approach | 694 | 56 | 877 | 70 |
| Securitisation (specifi c risk)1 | 149 | 12 | 63 | 5 |
| Total | 10,264 | 820 | 8,730 | 698 |
1 Securitisation (specifi c risk) is included in the interest rate risk RWA number
Internal models approach
The table below shows the average, high and low Stressed VaR for the period January 2017 to December 2017 and the actual position on 31 December 2017. The Stressed VaR results refl ect only the Group portfolio covered by the internal model approach and are calculated at a 99 per cent confi dence level.
Table 80: IMA values for trading portfolios (MR3)
| 2017 | 2016 | |||||||
|---|---|---|---|---|---|---|---|---|
| Average \$million |
High1 \$million |
Low1 \$million |
Actual2 \$million |
Average \$million |
High1 \$million |
Low1 \$million |
Actual2 \$million |
|
| VaR (10 day 99%) | 42 | 99 | 26 | 44 | 67 | 92 | 32 | 63 |
| Stressed VaR (10 day 99%) | 152 | 259 | 103 | 129 | 189 | 274 | 97 | 123 |
| Incremental Risk Charge (99.99%) | – | – | – | – | – | – | – | – |
| Comprehensive Risk capital charge (99.9%) | – | – | – | – | – | – | – | – |
1 Highest and lowest VaR for each risk factor are independent and usually occur on different days
2 Actual one day VaR as at period end date
Table 81: Market risk under internal models approach (MR2-A)
| 2017 | 2016 | |||
|---|---|---|---|---|
| Risk Weighted Assets \$million |
Regulatory capital requirement \$million |
Risk Weighted Assets \$million |
Regulatory capital requirement \$million |
|
| VaR (higher of values a and b) | 1,978 | 158 | 3,161 | 253 |
| (a) Previous day's VaR | 905 | 72 | 905 | 72 |
| (b) Average of the daily VaR | 1,978 | 158 | 3,161 | 253 |
| SVaR (higher of values a and b) | 8,083 | 647 | 7,931 | 634 |
| (a) Latest SVaR | 2,000 | 160 | 2,000 | 160 |
| (b) Average of the SVaR | 8,084 | 647 | 7,931 | 634 |
| Other1 | 2,715 | 217 | 2,055 | 164 |
| Total2 | 12,776 | 1,022 | 13,147 | 1,051 |
1 Other IMA capital add-ons for market risks not fully captured in either VaR or SVaR. More details on Risks not in VaR can be found in the 2017 Annual Reports and Accounts on page 148
2 There are zero IRC and CRM as the Group has not received model permission for specifi c interest rate risk comprehensive risk measure
Backtesting
Regulatory backtesting is applied at both Group and Solo levels. In 2017, there has been one negative exception at both Group level and Solo level (in 2016 there was one exception at Group level and two at Solo level).
This exception occurred on 18 December due to yield curve moves in Nigeria. The Central Bank of Nigeria restarted their liquidity management open market operations
unexpectedly, fi lling Nigerian treasury bill auctions below the lowest bid yields. This move caused the market to sell off and Nigerian Naira yields to rise sharply.
One exception in a year due to market events is within the 'green zone' applied internationally to internal models by bank supervisors (Basel Committee on Banking Supervision: 'Supervisory framework for the use of "backtesting" in conjunction with the internal models approach to market risk capital requirements', January 1996).
The graphs below illustrate the performance of the VaR model used in the Group capital calculations. They compare the 99 percentile loss confi dence level given by the VaR model with the Hypothetical and Actual P&L of each day given the real market movements. Actual backtesting P&L excludes from trading P&L: brokerage expense, fees & commissions, non-market-related accounting valuation adjustments and accounting debit valuation adjustments. Hypothetical backtesting P&L further excludes P&L from new deals and market operations.
Table 82: 2017 Backtesting chart for internal model approach regulatory trading book at Group level with hypothetical profi t and loss (P&L) versus VaR (99%, one day) (MR4)
Table 83: 2017 Backtesting chart for internal model approach regulatory trading book at Group level with actual profi t and loss (P&L) versus VaR (99%, one day) (MR4)
The 2017 IMA Group level backtesting chart outliers are all positive, refl ecting the additional elements of actual P&L (compared to hypothetical). There were six such positive actual outliers in 2017.
5. Interest rate risk in the banking book
The Group defi nes Earnings Risk (also referred to as Interest Rate Risk in the Banking Book or IRRBB) as the potential for loss of earnings or economic value, following adverse movements in interest rates, which arises from a mismatch in the re-pricing profi le of assets, liabilities, and off-balance sheet items in the banking book. This risk is incorporated in the Group's Enterprise Risk Management Framework (ERMF), approved by the Board, as a risk sub-type of Capital and Liquidity Risk.
The Board delegates the management of Earnings Risk to the Group Asset & Liability Committee (GALCO), which in turn mandates the Country ALCOs and the Group's Operational Balance Sheet Committee (OBSC) to monitor Earnings Risk as per the risk type framework.
Earnings Risk is managed at a country level by the Country ALCO, chaired by the Country CEO, and is independently monitored by Treasury Risk.
Earnings Risk models and methodologies are defi ned for the Group by the Treasury Liquidity function, independently validated and approved by a designated model approval body. Country modelling assumptions are derived locally using the Group's methodologies, and are reviewed by Treasury Risk and Country ALCO.
The Group uses Funds Transfer Pricing (FTP) to transfer re-pricing risk from the business to Treasury Markets, including that arising from structural positions such as the investment of equity and non-maturity deposit balances. For non-maturity deposits, the assumed duration is dependent on the portion that can be considered stable and the degree to which these balances are considered price sensitive. The re-pricing risk transferred to Treasury Markets is managed on an integrated basis with a securities portfolio maintained for liquidity and investment management purposes. Any basis risk that is
not transferred and cannot be hedged by Treasury Markets is reported and overseen at local ALCOs.
Re-pricing risk arising within Treasury Markets is managed using a combination of onbalance sheet and derivative hedges; derivative hedges are subject to Fair Value and Cash fl ow Hedge accounting treatment where available. Treasury Markets' interest rate risk positions and limits are independently monitored by the Market and Traded Credit Risk (MTCR) function.
Table 84 below refl ects Treasury Markets interest rate risk profi le (at year end) and is a measure of the economic value sensitivity that would result from increasing interest rates by 1 basis point (instantaneous parallel shift). The PV01 is controlled and monitored at country and currency level.
Table 84: Treasury Markets PV01 by currency
| By currency | 2017 Actual1 \$million |
2016 Actual1 \$million |
|---|---|---|
| HKD | 0.4 | – |
| INR | (0.2) | (0.5) |
| KRW | (0.5) | (0.4) |
| RMB2 | (0.2) | (0.3) |
| SGD | 0.1 | – |
| USD | (0.4) | (0.8) |
| Other | (1.0) | (1.3) |
| Total Treasury Markets | (1.8) | (3.3) |
1 Actual PV01 at period end date
2 RMB includes onshore CNY and CNH
The changes during 2017 refl ect active interest rate risk management as Treasury-Markets reduced their open interest rate risk exposures mainly on the securities portfolio.
6. Liquidity risk
Liquidity & Funding Risk Management
For information on the Group's Liquidity & Funding risk management practices and risk profi le we refer to the Principal Risks and Risk Profi le sections of the 2017 Annual Report and Accounts on pages 150 to 157 and 171 to 172 respectively.
Liquidity Coverage Ratio Disclosure
The Liquidity Coverage Ratio (LCR) is a regulatory stress ratio measuring the proportion of high-quality liquid assets (HQLA) against net outfl ows over 30 calendar days. An essential component of the Basel III reforms, the LCR was introduced in October 2015 with the goal of promoting the short-term resilience of a fi rm's liquidity risk profi le.
The Group monitors and reports its LCR under European Commission Delegated Regulation 2015/61 (LCR Delegated Act rules) and is also subject to local prudential LCR requirements across our footprint, where applicable. The Prudential Regulation Authority (PRA), as the Group's competent authority, accelerated LCR implementation by setting an initial industry-wide minimum threshold of 80 per cent on 1 October 2015 before increasing to 90 per cent on 1 January 2017 ahead of full implementation (100 per cent) from 1 January 2018.
The LCR is a Pillar 1 regulatory requirement calculated by applying standardised haircuts, outfl ow and infl ow factors to HQLA, liabilities
and assets respectively. Risks not captured, or not fully captured, under the standardised Pillar 1 ratio (e.g. Intra-day risk or other risks specifi c to each fi rm) are known as Pillar 2 risks and are captured under a separate Pillar 2 regulatory framework. These Pillar 2 requirements are set in the form of fi xed or variable add-ons to LCR Pillar 1 requirements. Therefore, it should be noted that the HQLA reported in the table below is held to meet Pillar 1 and Pillar 2 risks along with internal Board approved risk appetite.
HQLA
HQLA eligible securities, as defi ned under LCR Delegated Act rules, fall into three categories: Level 1, Level 2A, and Level 2B liquid assets. Level 1 liquid assets, which are of the highest quality and deemed the most liquid (e.g. central bank reserves or securities issued by the U.S. Treasury Department), are subject to no or little discount (or haircuts) to their market value and may be largely used without limit in the liquidity buffer, with the exception of Level 1 covered bonds.
Level 2A and 2B securities are recognised as being relatively stable and reliable sources of liquidity, but not to the same extent as Level 1 assets. LCR rules therefore set a 40 per cent composition cap on the combined amount of Level 2A and Level 2B that fi rms may hold in their total eligible liquidity buffer. Level 2B liquid assets, which are considered less liquid and more volatile than Level 2A liquid assets, are subject to large and varying haircuts and may not exceed 15 per cent of the total eligible HQLA.
To be recognised as HQLA eligible, securities must also meet various operational and general requirements designed to ensure that such assets have robust liquidity characteristics and can be freely converted into cash within a short timeframe, without signifi cant loss in value.
Outfl ows
Expected outfl ows are generally calculated as a percentage outfl ow on-balance sheet items such as funding received and off-balance sheet commitments (e.g. credit and liquidity lines) made by fi rms. This outfl ow varies typically by counterparty. For example, the outfl ow expected on retail deposits is lower than the outfl ow expected on deposits provided by corporates or fi nancial institutions.
Infl ows
Expected infl ows are also generally calculated as a percentage infl ow on-balance sheet items and include infl ows (e.g. from retail or corporate loans) that will be repaid within 30 days. To ensure a minimum level of liquid asset holdings, and to prevent fi rms from relying solely on anticipated infl ows to meet their liquidity coverage ratio, the prescribed amount of infl ows that can offset outfl ows is capped at 75 per cent of total expected outfl ows.
Calculated pursuant to LCR Delegated Act rules, the following table sets forth simple averages of month-end Group LCR observations over the 12 months preceding each quarter. For a period end Group LCR disclosure, refer to page 151 of the 2017 Annual Report and Accounts.
Table 85: Liquidity Coverage Ratio (LCR) (LIQ1)
| 2017 | ||||||||
|---|---|---|---|---|---|---|---|---|
| Total unweighted value (average) | Total weighted value (average) | |||||||
| 31.03.17 \$million |
30.06.17 \$million |
30.09.17 \$million |
31.12.17 \$million |
31.03.17 \$million |
30.06.17 \$million |
30.09.17 \$million |
31.12.17 \$million |
|
| Number of data points used in the calculation of averages |
12 | 12 | 12 | 12 | 12 | 12 | 12 | 12 |
| High-quality liquid assets | ||||||||
| Total high-quality liquid assets (HQLA) | 138,629 | 143,755 | 145,380 | 144,280 | ||||
| Cash outfl ows | ||||||||
| Retail deposits and deposits from small business customers, of which: |
116,466 | 119,086 | 121,565 | 123,393 | 11,551 | 11,770 | 12,008 | 12,175 |
| Stable deposits | 28,201 | 27,564 | 27,708 | 28,112 | 1,410 | 1,378 | 1,385 | 1,406 |
| Less stable deposits | 88,265 | 91,522 | 93,857 | 95,281 | 10,141 | 10,392 | 10,623 | 10,769 |
| Unsecured wholesale funding, of which: | 196,040 | 199,935 | 203,370 | 206,446 | 109,304 | 109,877 | 110,236 | 110,254 |
| Operational deposits (all counterparties) and deposits in networks of cooperative banks |
52,838 | 54,783 | 56,166 | 58,446 | 13,045 | 13,539 | 13,891 | 14,466 |
| Non-operational deposits (all counterparties) |
136,373 | 139,128 | 141,293 | 142,287 | 89,430 | 90,314 | 90,434 | 90,075 |
| Unsecured debt | 6,829 | 6,024 | 5,911 | 5,713 | 6,829 | 6,024 | 5,911 | 5,713 |
| Secured wholesale funding | 3,367 | 2,695 | 2,386 | 2,241 | ||||
| Additional requirements | 75,007 | 76,551 | 78,717 | 80,259 | 18,552 | 19,653 | 21,128 | 21,456 |
| Outfl ows related to derivative exposures and other collateral requirements |
6,576 | 7,341 | 8,822 | 9,130 | 6,254 | 7,129 | 8,607 | 8,912 |
| Outfl ows related to loss of funding on debt products |
80 | 53 | 26 | 27 | 80 | 53 | 26 | 27 |
| Credit and liquidity facilities | 68,351 | 69,157 | 69,869 | 71,102 | 12,218 | 12,471 | 12,495 | 12,517 |
| Other contractual funding obligations | 9,736 | 10,639 | 12,104 | 12,478 | 8,869 | 9,773 | 11,238 | 11,611 |
| Other contingent funding obligations | 246,536 | 242,346 | 231,092 | 221,741 | 2,222 | 2,176 | 2,158 | 2,166 |
| Total cash outfl ows | 153,865 | 155,944 | 159,154 | 159,903 | ||||
| Cash infl ows | ||||||||
| Secured lending (e.g. reverse repos) | 23,834 | 24,563 | 26,044 | 28,819 | 6,629 | 7,461 | 8,492 | 9,118 |
| Infl ows from fully performing exposures | 49,748 | 51,371 | 54,292 | 56,412 | 36,719 | 37,937 | 39,589 | 41,739 |
| Other cash infl ows | 26,052 | 26,690 | 28,791 | 22,609 | 8,098 | 9,375 | 11,408 | 11,608 |
| (Difference between total weighted infl ows and total weighted outfl ows arising from transactions in third countries where there are transfer restrictions or which are denominated in non-convertible currencies) |
– | – | – | – | ||||
| (Excess infl ows from a related specialised credit institutions) |
– | – | – | – | ||||
| Total cash infl ows | 99,634 | 102,624 | 109,127 | 107,840 | 51,446 | 54,773 | 59,489 | 62,465 |
| Fully exempt infl ows | – | – | – | – | – | – | – | – |
| Infl ows subject to 90% cap | – | – | – | – | – | – | – | – |
| Infl ows subject to 75% cap | 99,634 | 102,624 | 109,127 | 107,840 | 51,446 | 54,773 | 59,489 | 62,465 |
| Total adjusted value | ||||||||
| Liquidity buffer | 138,629 | 143,755 | 145,380 | 144,280 | ||||
| Total net cash outfl ows | 102,419 | 101,171 | 99,665 | 97,438 | ||||
| Liquidity coverage ratio (%) | 136% | 142% | 146% | 148% |
The ratios reported in the above table are simple averages of month-end Group LCR ratios over the 12 months preceding each quarter. Therefore, these ratios may not be equal to the implied LCR calculated when using the average component amounts reported under 'Liquidity buffer' and 'Total net cash outfl ows' in the above table.
Main drivers and changes in LCR
The Group continued to maintain a strong average LCR position over the reporting period with a prudent surplus to both Board approved risk appetite and regulatory requirements.
The Group's average LCR increased to 148 per cent in the fourth quarter (fi rst quarter: 136 per cent) driven by higher average HQLA holdings and lower net cash outfl ows, refl ecting the Group's focus on high quality liquidity across our businesses.
Aligned with overall growth in the Group's balance sheet, total cash outfl ows and total cash infl ows increased over the period. Most of our deposit growth in 2017 (increase in total cash outfl ows) came in the form of Retail and Transaction banking customer deposits with high liquidity and regulatory value, thereby having a positive impact on our LCR position.
HQLA composition
Figures reported in this section are simple averages of the 21 data points over the reporting period April 2016 to Dec 2017.
Our average weighted HQLA over the reporting period was approximately \$141 billion. Of this amount, 96 per cent consisted of Level 1 assets in the form of unencumbered central bank reserves (average 47 per cent) and high quality level 1 securities (49 per cent). Level 1 securities were mainly composed of central bank and government assets as well as securities issued by multilateral development banks and international organisations. In addition, 3 per cent of average weighted HQLA over the period consisted of Level 2A assets (mainly third country central/regional governments and public sector entities). The remaining average weighted HQLA was made up of Asset- backed securities recognised as Level 2B under LCR rules.
The Group's combined Level 2A and Level 2B securities (4 per cent) was well below the 40 per cent composition cap for such assets as required under LCR Delegated Act rules with Level 2B securities (1 per cent) falling below the required 15 per cent of total HQLA limit.
HQLA presented herein excludes excess liquidity held at certain subsidiaries that is not transferable within the Group.
Our liquidity management function in Treasury actively manages the size and composition of our eligible HQLA to ensure it is well diversifi ed and refl ects the Group's Board approved risk appetite and supporting risk measures, regulatory and internal stress testing requirements, the currency denomination of outfl ows, amongst other relevant considerations.
For a regional view of our HQLA liquidity pool, refer to page 152 of the 2017 Annual Report and Accounts.
Table 86: Total eligible high-quality liquid assets (HQLA)
| Average unweighted |
Average weighted |
|
|---|---|---|
| Level 1 reserves | 46% | 47% |
| Level 1 liquid securities | 49% | 49% |
| Level 2A liquid assets | 4% | 3% |
| Level 2B liquid assets | 1% | 1% |
Concentration of funding and liquidity sources
The Group's funding strategy is largely driven by its policy to maintain adequate liquidity at all times, in all geographic locations and in all currencies, and hence to be in a position to meet all obligations as they fall due.
With a suffi ciently fl exible funding strategy we are able to reduce liquidity risk by diversifying our liquidity resources. Our high degree of geographic diversifi cation constitutes a material risk offset because of our ability to raise a variety of funding across a number of markets in which we operate.
The Group has established internal measures to closely monitor and highlight any build up in counterparty and tenor concentrations to ensure it can meet liquidity needs under different stress scenarios and different time horizons.
Our funding profi le over the reporting period was well diversifi ed across different sources by product, business and tenor. Consistent with the Group's funding strategy, customer
assets were largely funded out of customer deposits, which are considered a stable source of funding. Customer deposits are primarily sourced from Current Account Saving Account balances along with time deposits and these are further diversifi ed across different customer segments, currencies, tenors and markets.
For further details on the Group's funding profi le, refer to pages 150 to 151 of the 2017 Annual Report and Accounts.
Derivative exposures and potential collateral calls
In the normal course of business, the Group deals in the Over-the-counter (OTC) and exchange traded derivative markets with both collateralised and uncollateralised derivative counterparties. Trades are taken primarily to facilitate client activity or for hedging our own risk exposures; as such, derivatives are not generally held for position-taking.
The LCR Delegated Act requires HQLA to be held against net contractual and contingent outfl ows relating to derivative transactions.
These include:
- ¼ Net Contractual outfl ows over a 30-day calendar period, if subject to either legally enforceable master netting agreements and/or covered by collateral agreements (e.g. CSA), these cash fl ows can be netted at a counterparty level
- ¼ The impact of an adverse market scenario on the collateral requirements of the Group's derivatives portfolio
- ¼ Incremental collateral required to be posted in the event of a deterioration in the Group's own credit quality (e.g. a threenotch downgrade in the fi rm's long-term external credit rating)
- ¼ The counterparties' contractual right to substitute higher quality collateral with lower quality collateral
- ¼ The devaluation of existing collateral posted to counterparties
- ¼ Callable/due excess collateral that a fi rm may be contractually required to return to a counterparty
The Group employs various measures to reduce the risk of potential collateral calls on our derivative positions including the modelling of potential outfl ows in our liquidity stress testing framework to ensure we hold suffi cient HQLA to cover unexpected and adverse outfl ows, posting mostly cash or high quality collateral to avoid the need for further collateral calls, entering into transactions that have narrow collateral eligibility requirements and/or do not allow counterparties to unilaterally substitute collateral in the event of a stress, amongst other measures.
On average over the reporting period, weighted 'Outfl ows related to derivative exposures and other collateral requirements' made up only 5 per cent of the Group's total weighted outfl ows.
Currency mismatch in the LCR
The Group LCR is calculated and reported on a consolidated basis and in its reporting currency, US dollars. Although not required to meet minimum LCR requirements in other currencies, we report other signifi cant currency LCRs to the PRA as part of the monthly LCR submission as well as to senior stakeholders in the form of internal monthly MI.
To minimise currency mismatch risk, the Group seeks to fund assets in the same currency, however, due to our global footprint, cross currency funding is utilised to appropriately manage currency gaps when it makes economic sense to do so.
To the extent mismatches arise, these are managed via the Group's currency convertibility framework. The framework identifi es currencies that are expected to have limited convertibility during a stress, and sets thresholds on the amount of currency surplus that can be used to meet outfl ows in other currencies. HQLA amounts reported in the above table therefore exclude surplus liquidity across the Group considered non-convertible in stress.
The implementation of liquidity metrics (such as ADR) at country level ensures that a large portion of assets is funded out of liabilities raised in the same currency. We also monitor closely, against set limits, the amount of foreign currency that can be swapped to local currency, and vice versa, in addition to currency mismatches by different tenor buckets.
6.1 Encumbered and unencumbered assets
The following disclosures of encumbered and unencumbered assets are based on the requirements in Part Eight of the CRR and the related guidelines issued by the EBA on 27 June 2014 (EBA/GL/2014/03), as implemented by the PRA through Supervisory Statement SS11/14.
Standard Chartered's primary funding source is its customer deposit base. The Group's advances-to-deposits ratio remained broadly fl at at 69.4 per cent in 2017. Given this structural unsecured funding position we have little requirement to fund ourselves in secured markets, and therefore our overall low level of encumbrance refl ects this position. However, we do provide collateralised fi nancing services to clients and these result in off-balance sheet encumbrance. The Group monitors the mix of secured and unsecured funding sources within the Group's funding plan and seeks to effi ciently utilise available collateral to raise secured funding and meet other collateral requirements.
Table 87: Encumbered and unencumbered assets
| 2017 | 2016 | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Carrying amount of encumbered assets \$million |
Fair value of encumbered assets \$million |
Carrying amount of unencumbered assets \$million |
Fair value of unencumbered assets \$million |
Carrying amount of encumbered assets \$million |
Fair value of encumbered assets \$million |
Carrying amount of unencumbered assets \$million |
Fair value of unencumbered assets \$million |
|||
| Assets of Reporting Institution | 22,857 | – | 654,824 | – | 23,529 | – | 634,650 | – | ||
| Equity Instruments | – | – | 2,650 | 2,650 | – | – | 2,856 | 2,856 | ||
| Debt Securities | 5,918 | 5,918 | 124,857 | 123,505 | 4,331 | 4,331 | 121,267 | 121,267 | ||
| Other Assets1 | 16,827 | – | 526,385 | – | 19,564 | – | 510,368 | – |
1 All remaining regulatory balance sheet assets
Table 88: Encumbered assets/collateral received and associated liabilities
| 2017 | 2016 | ||
|---|---|---|---|
| Assets, collateral | Assets, collateral received and own |
||
| received and own Matching debt securities liabilities issued other than contingent covered bonds liabilities or and ABSs |
debt securities issued other than |
||
| liabilities contingent |
covered bonds | ||
| securities lent \$million |
encumbered \$million |
liabilities or securities lent \$million |
and ABSs encumbered \$million |
| 48,963 | 51,326 | 47,978 | 51,709 |
Table 89: Median values versus annual disclosure comparative
| Group Median Value | Group ARA value | |||||
|---|---|---|---|---|---|---|
| 2017 \$billion |
2016 \$billion |
2017 \$billion |
2016 \$billion |
|||
| Encumbered Assets | 23 | 24 | 23 | 26 | ||
| Unencumbered Assets | 655 | 635 | 640 | 621 |
In accordance to the threshold criteria set out by the Supervisory Standards issued by the PRA (SS11/14), the Group is not required to report the fair value of encumbered collateral received.
The median value of the Group's encumbered and unencumbered assets, as at 31 December 2017, differs from the Group's disclosures in the 2017 Annual Report and Accounts. The difference is due to the basis of calculation with the EBA Guidelines requiring disclosure of median values of 2017 monthly data. The table above compares the different values.
The Group's median asset encumbrance for 2017 was \$23 billion, which primarily related to cash collateral pledged against derivatives, Hong Kong government certifi cates of indebtedness which are both included within other assets, and other securities. Encumbered assets represent on-balance sheet assets pledged or subject to any form of arrangement to secure, collateralise or credit enhance any transaction from which it cannot be freely withdrawn. Debt securities are predominantly related to repurchase agreements. Taken together, these encumbered assets represent 3.4 per cent (2016: 3.6 per cent) of total assets, continuing the Group's historical low level of encumbrance. Furthermore, the unencumbered assets that cannot be encumbered also remain at low level and include goodwill, property and plant, unsettled trades, non-group acceptance and
tax assets. Derivatives and Reverse Repos are not generally deemed available for encumbrance.
The Group provides collateralised security fi nancing services to its clients, which is also used to manage the Group's own short-term cash and collateral needs. For securities accepted as collateral, mandates are credit rating driven with appropriate notional limits per rating, asset and individual bond concentration. The majority of collateral the Group uses in repo/reverse repo and stock lending/stock borrowing transactions is investment grade government issued. Information on over-collateralisation can be found in the Credit risk mitigation section of the 2017 Annual Report and Accounts on pages 138 to 141.
7. Forward-looking statements
This document may contain 'forward-looking statements' that are based on current expectations or beliefs, as well as assumptions about future events. These forward-looking statements can be identifi ed by the fact that they do not relate only to historical or current facts. Forward-looking statements often use words such as 'may', 'could', 'will', 'expect', 'intend', 'estimate', 'anticipate', 'believe', 'plan', 'seek', 'continue' or other words of similar meaning. By their very nature, such statements are subject to known and unknown risks and uncertainties and can be affected by other factors that could cause actual results, and the Group's plans and objectives, to differ materially from those expressed or implied in the forwardlooking statements. Recipients should not place reliance on, and are cautioned about relying on, any forward-looking statements.
There are several factors which could cause actual results to differ materially from those expressed or implied in forward-looking statements. The factors that could cause actual results to differ materially from those described in the forward-looking statements include (but are not limited to) changes in global, political, economic, business, competitive, market and regulatory forces or conditions, future exchange and interest rates, changes in tax rates, future business combinations or dispositions and other factors specifi c to the Group. Any forwardlooking statement contained in this document is based on past or current trends and/or activities of the Group and should not be taken as a representation that such trends or activities will continue in the future. No statement in this document is intended to be a profi t forecast or to imply that the earnings
of the Group for the current year or future years will necessarily match or exceed the historical or published earnings of the Group. Each forward-looking statement speaks only as of the date of the particular statement. Except as required by any applicable laws or regulations, the Group expressly disclaims any obligation to revise or update any forward-looking statement contained within this document, regardless of whether those statements are affected as a result of new information, future events or otherwise. Nothing in this document shall constitute, in any jurisdiction, an offer or solicitation to sell or purchase any securities or other fi nancial instruments, nor shall it constitute a recommendation or advice in respect of any securities or other fi nancial instruments or any other matter.
Annex 1
Standard Chartered Signifi cant Subsidiaries
Capital resources of signifi cant subsidiaries
For local capital adequacy purposes, a range of approaches are applied in accordance with the regulatory requirements in force in each jurisdiction. Wherever possible, the approaches adopted at the Group level are applied locally.
CRR Article 13 requires the application of disclosure requirements of signifi cant subsidiaries of EU parent institutions and those subsidiaries which are of material signifi cance to their local market.
The capital resources of the Group's signifi cant subsidiaries under CRR Article 13 are presented below. These subsidiaries are Standard Chartered Bank, a UK incorporated banking entity including overseas branches, and subsidiaries, Standard Chartered Bank Hong Kong Limited and Standard Chartered Bank Korea Limited.
The capital resources of these subsidiaries are calculated in accordance with the regulatory requirements applicable in the countries in which they are incorporated, and therefore cannot be aggregated, but are presented to align with the Group format.
Standard Chartered Bank Singapore Limited and Standard Chartered Bank Uganda Limited qualify as the Group's subsidiaries which are Domestically Important Institutions (D-SIIs). Standard Chartered Bank Uganda Limited follows Basel I rules, see Table A for their information presented to align with Group format.
The table below provides a summary view of the signifi cant subsidiaries. The signifi cant subsidiary data is subject to change due to local timing and local regulatory requirements.
Table A: Capital resources of signifi cant subsidiaries
| 2017 | 2016 | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Standard Chartered Bank1 \$million |
Standard Chartered Bank (HK) Ltd \$million |
Standard Chartered Bank Korea Ltd \$million |
Standard Chartered Bank Singapore Ltd \$million |
Standard Chartered Bank Uganda Ltd \$million |
Standard Chartered Bank1 \$million |
Standard Chartered Bank (HK) Ltd2 \$million |
Standard Chartered Bank Korea Ltd2 \$million |
Standard Chartered Bank Singapore Ltd \$million |
Standard Chartered Bank Uganda Ltd2 \$million |
|
| Local Regulator | PRA | HKMA | FSS | MAS | BOU | PRA | HKMA | FSS | MAS | BOU |
| Common Equity Tier 1 capital before regulatory adjustments |
46,508 | 7,588 | 4,484 | 1,478 | 118 | 44,019 | 7,202 | 3,825 | 1,388 | 111 |
| Regulatory adjustments | (6,777) | (956) | (132) | (184) | (1) | (6,451) | (1,011) | (95) | (120) | (3) |
| Common Equity Tier 1 capital | 39,731 | 6,632 | 4,352 | 1,294 | 117 | 37,568 | 6,191 | 3,730 | 1,268 | 108 |
| Additional Tier 1 (AT1) capital: instruments |
6,480 | 746 | – | 178 | – | 5,480 | 500 | – | 127 | – |
| Tier 1 capital (T1 = CET1 + AT1) | 46,211 | 7,378 | 4,352 | 1,472 | 117 | 43,048 | 6,691 | 3,730 | 1,395 | 108 |
| Tier 2 capital | 13,676 | 1,604 | 1 | 608 | 4 | 17,144 | 1,764 | 16 | 571 | 4 |
| Total capital (TC = T1 + T2) | 59,887 | 8,982 | 4,353 | 2,080 | 121 | 60,192 | 8,455 | 3,746 | 1,966 | 112 |
| Total risk-weighted assets | 282,038 | 49,266 | 26,758 | 11,429 | 594 | 268,199 | 46,422 | 23,911 | 9,864 | 638 |
| Capital Ratios | ||||||||||
| Common Equity Tier 1 | 14.1% | 13.5% | 16.3% | 11.3% | 19.7% | 14.0% | 13.3% | 15.6% | 12.8% | 16.9% |
| Tier 1 Capital | 16.4% | 15.0% | 16.3% | 12.9% | 19.7% | 16.1% | 14.4% | 15.6% | 14.1% | 16.9% |
| Total Capital | 21.2% | 18.2% | 16.3% | 18.2% | 20.3% | 22.4% | 18.2% | 15.7% | 19.9% | 17.5% |
1 Standard Chartered Bank disclosed in the table above aligns with the capital section of the 2017 Standard Chartered Bank Accounts
2 2016 Capital resources have been re-presented to align with fi nal local regulatory returns for Standard Chartered Bank Hong Kong Ltd, Korea Ltd and Uganda Ltd respectively.
Capital management – Standard Chartered Bank
The Risk management approach section of the 2017 Standard Chartered Bank Director Report and Financial Statements sets out our approach to capital management (pages 122 to 123). Tables B and C below summarise the consolidated capital position of Standard Chartered Bank.
Further disclosures of the legal entity Standard Chartered Bank may be found in the 2017 Standard Chartered Bank Accounts.
Table B: Capital base
| 2017 Transitional position |
2017 End point adjustment |
2017 End point position |
2016 Transitional position |
|
|---|---|---|---|---|
| Standard Chartered Bank | \$million | \$million | \$million | \$million |
| Common Equity Tier 1 (CET1) capital: instruments and reserves | ||||
| Capital instruments and the related share premium accounts | 26,820 | – | 26,820 | 26,820 |
| Of which: Share premium accounts | 296 | – | 296 | 296 |
| Retained earnings1 | 19,533 | – | 19,533 | 20,549 |
| Accumulated other comprehensive income (and other reserves) | (4,258) | – | (4,258) | (5,481) |
| Non-controlling interests (amount allowed in consolidated CET1) | 3,805 | – | 3,805 | 2,797 |
| Independently reviewed interim and year-end profi ts/(loss)2 | 1,007 | – | 1,007 | (503) |
| Foreseeable dividends net of scrip | (399) | – | (399) | (163) |
| Common Equity Tier 1 capital before regulatory adjustments | 46,508 | – | 46,508 | 44,019 |
| Common Equity Tier 1 capital: regulatory adjustments | ||||
| Additional value adjustments | (574) | – | (574) | (660) |
| Intangible assets | (4,687) | – | (4,687) | (4,432) |
| Deferred tax assets that rely on future profi tability | (125) | – | (125) | (197) |
| Fair value reserves related to gains or losses on cash fl ow hedges | 46 | – | 46 | 73 |
| Negative amounts resulting from the calculation of expected loss | (1,142) | – | (1,142) | (740) |
| Gains or losses on liabilities at fair value resulting from changes in own credit | (55) | – | (55) | (289) |
| Defi ned-benefi t pension fund assets | (40) | – | (40) | (18) |
| Fair value gains and losses from own credit risk related to derivative liabilities | (59) | – | (59) | (20) |
| Exposure amounts which could qualify for risk weighting | (141) | – | (141) | (168) |
| Of which: securitisation positions | (125) | – | (125) | (134) |
| Of which: free deliveries | (16) | – | (16) | (34) |
| Total regulatory adjustments to Common Equity Tier 1 | (6,777) | – | (6,777) | (6,451) |
| Common Equity Tier 1 capital | 39,731 | – | 39,731 | 37,568 |
| Additional Tier 1 (AT1) capital: instruments | ||||
| Capital Instruments and the related share premium accounts | 6,500 | (1,500) | 5,000 | 5,500 |
| Additional Tier 1 (AT1) capital before regulatory adjustments | 6,500 | (1,500) | 5,000 | 5,500 |
| AT1 regulatory adjustments | ||||
| Direct and indirect holdings by an institution of own AT1 instruments and subordinated loans |
(20) | – | (20) | (20) |
| Total regulatory adjustments to AT1 | (20) | – | (20) | (20) |
| Additional Tier 1 capital | 6,480 | (1,500) | 4,980 | 5,480 |
| Tier 1 capital (T1 = CET1 + AT1) | 46,211 | (1,500) | 44,711 | 43,048 |
| Tier 2 (T2) capital: instruments and provisions | ||||
| Capital instruments and the related share premium accounts | 12,466 | – | 12,466 | 15,930 |
| Qualifying items and the related share premium accounts subject to phase out from T2 |
899 | (899) | – | 865 |
| Qualifying own funds instruments included in T2 issued by subsidiaries and held by third parties |
341 | (11) | 330 | 379 |
| Tier 2 capital before regulatory adjustments | 13,706 | (910) | 12,796 | 17,174 |
| Tier 2 capital: regulatory adjustments | ||||
| Direct and indirect holdings by an institution of own Tier 2 instruments and subordinated loans |
(30) | – | (30) | (30) |
| Total regulatory adjustments to Tier 2 capital | (30) | – | (30) | (30) |
| Tier 2 capital | 13,676 | (910) | 12,766 | 17,144 |
| Total capital (TC = T1 + T2) | 59,887 | (2,410) | 57,477 | 60,192 |
Table C: Capital ratios and risk-weighted assets
| 2017 Transitional position \$million |
2017 End point adjustment \$million |
2017 End point position \$million |
2016 Transitional position \$million |
|
|---|---|---|---|---|
| Amounts below the thresholds for deduction (before risk weighting) | ||||
| Direct and indirect holdings of the capital of fi nancial sector entities where the institution does not have a signifi cant investment in those entities (amount below 10% threshold and net of eligible short positions) |
597 | – | 597 | 954 |
| Direct and indirect holdings by the institution of the CET1 instruments of fi nancial sector entities where the institution has a signifi cant investment in those entities (amount below 10% threshold and net of eligible short positions) |
1,818 | – | 1,818 | 1,347 |
| Deferred tax assets arising from temporary differences (amount below 10% threshold, net of related tax liability where the conditions in Article 38 (3) are met) |
1,105 | – | 1,105 | 1,493 |
| Risk-weighted assets | ||||
| Credit risk | 224,645 | – | 224,645 | 210,303 |
| Credit valuation adjustment | 503 | – | 503 | 2,290 |
| Operational risk | 33,850 | – | 33,850 | 33,729 |
| Market risk | 23,040 | – | 23,040 | 21,877 |
| Total Risk Weighted Assets3 | 282,038 | – | 282,038 | 268,199 |
| Capital ratios and buffers | ||||
| CET1 capital | 14.1% | – | 14.1% | 14.0% |
| Tier 1 capital | 16.4% | (0.5)% | 15.9% | 16.1% |
| Total capital | 21.2% | (0.8)% | 20.4% | 22.4% |
| Capital buffers | ||||
| Institution specifi c buffer requirement (CET1 requirement in accordance with article 92 (1) (a) plus capital conservation and countercyclical buffer requirement, plus systematic risk buffer, plus systematically important intuition buffer expressed as a percentage of risk exposure amount) |
N/A | N/A | N/A | N/A |
| Of which: capital conservation buffer requirement | N/A | N/A | N/A | N/A |
| Of which: countercyclical buffer requirement | N/A | N/A | N/A | N/A |
| Of which: systematic risk buffer requirement | N/A | N/A | N/A | N/A |
| Of which: Global systematically important institution (G-SII) or Other Systematically important institution (O-SII) buffer |
N/A | N/A | N/A | N/A |
| Common Equity Tier 1 available to meet buffers (as percentage of risk exposure amount) |
N/A | N/A | N/A | N/A |
1 Retained earnings under CRD IV include the effect of regulatory consolidation adjustments
2 Independently reviewed interim and year-end profi ts/(loss) for CRD IV are in accordance with the regulatory consolidation
3 The risk-weighted assets are not covered by the scope of the Audit
Table D: Overview of RWA
| 2017 | ||||||||
|---|---|---|---|---|---|---|---|---|
| Standard Chartered Bank | Standard Chartered Bank (HK)Ltd1 |
Standard Chartered Bank Korea Ltd |
Standard Chartered Bank Singapore Ltd |
|||||
| Risk weighted assets \$million |
Regulatory capital requirement \$million |
Risk weighted assets \$million |
Regulatory capital requirement \$million |
Risk weighted assets \$million |
Regulatory capital requirement \$million |
Risk weighted assets \$million |
Regulatory capital requirement \$million |
|
| Credit risk (excluding counterparty credit risk)2 |
199,620 | 15,970 | 36,942 | 3,116 | 20,610 | 1,649 | 10,260 | 1,026 |
| Of which advanced IRB approach | 156,177 | 12,495 | 33,503 | 2,841 | 15,240 | 1,219 | – | – |
| Of which standardised approach | 43,443 | 3,475 | 3,439 | 275 | 5,370 | 430 | 10,260 | 1,026 |
| Counterparty credit risk3 | 15,517 | 1,241 | 1,054 | 87 | 1,996 | 159 | 109 | 11 |
| Of which mark to market method | 11,952 | 956 | 651 | 55 | 1,106 | 88 | 58 | 6 |
| Of which risk exposure amount for contributions to the default fund of a CCP |
81 | 6 | – | – | 3 | – | – | – |
| Of which CVA | 503 | 40 | 404 | 32 | 887 | 71 | 43 | 4 |
| Settlement risk | 18 | 1 | 1 | – | – | – | – | – |
| Securitisation exposures in the banking book |
2,687 | 215 | 152 | 13 | – | – | 105 | 10 |
| Of which IRB ratings based approach | 2,205 | 176 | 152 | 13 | – | – | – | – |
| Of which IRB supervisory formula approach |
482 | 39 | – | – | – | – | – | – |
| Of which standardised approach | – | – | – | – | – | – | 105 | 10 |
| Market risk | 23,040 | 1,843 | 2,387 | 191 | 2,236 | 179 | 3 | – |
| Of which internal model approaches | 12,776 | 1,022 | 85 | 7 | 1,700 | 136 | – | – |
| Of which standardised approach | 10,264 | 821 | 2,302 | 184 | 536 | 43 | 3 | – |
| Large exposures | – | – | – | – | – | – | – | – |
| Operational risk | 33,850 | 2,708 | 5,274 | 422 | 1,916 | 153 | 952 | 95 |
| Of which standardised approach | 33,850 | 2,708 | 5,274 | 422 | 1,916 | 153 | 952 | 95 |
| Amounts below the thresholds for deduction (subject to 250% risk weight) |
7,306 | 585 | 1,469 | 118 | – | – | – | – |
| Floor Adjustment | – | – | – | – | – | – | – | – |
| Total | 282,038 | 22,563 | 47,279 | 3,947 | 26,758 | 2,140 | 11,429 | 1,143 |
1 Standard Chartered Bank Hong Kong Ltd follows local disclosure rules for the OV1 table above, the net impact is \$1,987 million. Total RWA: \$49,266 million (\$47,279 million + \$1,987 million)
2 Credit risk (including counterparty credit risk) includes Non-credit obligation assets
3 Counterparty credit risk includes assets which are assessed under IRB and Standardised approaches
Table D: Overview of RWA continued
| 2016 | ||||||||
|---|---|---|---|---|---|---|---|---|
| Standard Chartered Bank | Standard Chartered Bank (HK) Ltd1 |
Standard Chartered Bank Korea Ltd |
Standard Chartered Bank Singapore Ltd |
|||||
| Risk weighted assets \$million |
Regulatory capital requirement \$million |
Risk weighted assets \$million |
Regulatory capital requirement \$million |
Risk weighted assets \$million |
Regulatory capital requirement \$million |
Risk weighted assets \$million |
Regulatory capital requirement \$million |
|
| Credit risk (excluding counterparty credit risk)2 |
185,988 | 14,879 | 34,928 | 2,948 | 18,101 | 1,448 | 8,843 | 884 |
| Of which advanced IRB approach | 143,793 | 11,503 | 32,098 | 2,722 | 13,720 | 1,098 | – | – |
| Of which standardised approach | 42,195 | 3,376 | 2,830 | 226 | 4,381 | 350 | 8,843 | 884 |
| Counterparty credit risk3 | 17,358 | 1,389 | 574 | 47 | 2,945 | 236 | 6 | 1 |
| Of which mark to market method | 12,800 | 1,024 | 329 | 28 | 1,982 | 159 | 3 | – |
| Of which risk exposure amount for contributions to the default fund of a CCP |
338 | 27 | – | – | 3 | – | – | – |
| Of which CVA | 2,290 | 183 | 245 | 20 | 961 | 77 | 2 | – |
| Settlement risk | 15 | 1 | 1 | – | – | – | – | – |
| Securitisation exposures in the banking book |
2,933 | 234 | 177 | 15 | – | – | 100 | 10 |
| Of which IRB ratings based approach | 2,406 | 192 | 177 | 15 | – | – | – | – |
| Of which IRB supervisory formula approach |
527 | 42 | – | – | – | – | – | – |
| Of which standardised approach | – | – | – | – | – | – | 100 | 10 |
| Market risk | 21,877 | 1,750 | 1,781 | 143 | 1,055 | 84 | 24 | 2 |
| Of which internal model approaches | 13,147 | 1,052 | 86 | 7 | 746 | 60 | – | – |
| Of which standardised approach | 8,730 | 698 | 1,695 | 136 | 309 | 24 | 24 | 2 |
| Large exposures | – | – | – | – | – | – | – | – |
| Operational risk | 33,729 | 2,698 | 5,610 | 449 | 1,810 | 145 | 891 | 89 |
| Of which standardised approach | 33,729 | 2,698 | 5,610 | 449 | 1,810 | 145 | 891 | 89 |
| Amounts below the thresholds for deduction (subject to 250% risk weight) |
6,299 | 504 | 1,482 | 119 | – | – | – | – |
| Floor Adjustment | – | – | – | – | – | – | – | – |
| Total | 268,199 | 21,455 | 44,553 | 3,720 | 23,911 | 1,913 | 9,864 | 986 |
1 Standard Chartered Bank Hong Kong Ltd follows local disclosure rules for table OV1 above. The net impact is \$1,869 million. Total RWA \$46,422 million (\$44,553 million + \$1,869 million).
2 Credit risk (including counterparty credit risk) includes Non-credit obligation assets
3 Counterparty credit risk includes assets which are assessed under both IRB and Standardised approaches
Table E. Leverage ratio common disclosure – Signifi cant Subsidiaries
| 2017 | 2016 | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Capital and total exposures | Standard Chartered Bank \$million |
Standard Chartered Bank (HK) Ltd \$million |
Standard Chartered Bank Korea Ltd \$million |
Standard Chartered Bank Singapore Ltd \$million |
Standard Chartered Bank \$million |
Standard Chartered Bank (HK) Ltd \$million |
Standard Chartered Bank Korea Ltd \$million |
Standard Chartered Bank Singapore Ltd \$million |
||
| Tier 1 capital | 44,711 | 7,378 | 4 | 1,472 | 41,548 | 6,692 | 3 | 1,377 | ||
| Total leverage ratio exposures | 760,298 | 137,841 | 61 | 26,023 | 717,874 | 128,986 | 52 | 24,422 | ||
| Leverage ratio | 5.9% | 5.4% | 6.6% | 5.7% | 5.8% | 5.2% | 6.6% | 5.6% |
Table F: Market risk regulatory capital requirements for signifi cant subsidiaries
| 2017 | 2016 | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Market Risk regulatory capital Requirements for Trading Book |
Standard Chartered Bank1 \$million |
Standard Chartered Bank (HK) Ltd \$million |
Standard Chartered Bank Korea Ltd \$million |
Standard Chartered Bank Singapore Ltd \$million |
Standard Chartered Bank Uganda Ltd \$million |
Standard Chartered Bank1 \$million |
Standard Chartered Bank (HK) Ltd2 \$million |
Standard Chartered Bank Korea Ltd \$million |
Standard Chartered Bank Singapore Ltd \$million |
Standard Chartered Bank Uganda Ltd \$million |
| Local Regulators | PRA | HKMA | FSS | MAS | BOU | PRA | HKMA | FSS | MAS | BOU |
| Interest rate | 652 | 167 | 38 | – | – | 313 | 124 | 17 | – | – |
| Equity | 1 | – | 5 | – | – | 1 | – | 7 | – | – |
| Options | 87 | – | – | – | – | 70 | – | – | – | – |
| Commodity | 19 | 13 | – | – | – | 17 | – | – | – | – |
| Foreign exchange | 62 | 4 | – | – | – | 296 | 12 | – | 2 | – |
| Internal Models Approach | 1,022 | 7 | 136 | – | – | 1,052 | 7 | 60 | – | – |
| Total | 1,843 | 191 | 179 | – | – | 1,750 | 143 | 84 | 2 | – |
| Market Risk – RWA | 23,040 | 2,387 | 2,236 | 3 | – | 21,877 | 1,781 | 1,055 | 24 | – |
1 Standard Chartered Bank disclosed in the table above aligns with the Capital section of the Standard Chartered Bank Accounts
2 2016 Market Risk for Standard Chartered Bank Hong Kong Ltd has been re-presented to align with local regulatory returns
Acronyms
| ABS | Asset Backed Securities | IIP | Individually assessed loan Impairment Provisions |
|---|---|---|---|
| AIRB | Advanced Internal Rating Based approach | IMA | Internal Model Approach |
| ALCO | Asset and Liability Committee | IRB | Internal Ratings Based |
| ALM | Asset and Liability Management | IRC | Incremental Risk Charge |
| AT1 | Additional Tier 1 | IRR | Interest Rate Risk |
| BCBS | Basel Committee on Banking Supervision | LCR | Liquidity Coverage Ratio |
| BOU | Bank of Uganda | LGD | Loss Given Default |
| BRC | Board Risk Committee | MAC | Model Assessment Committee |
| CB | Commercial Banking | MAS | Monetary Authority of Singapore |
| CCF | Credit Conversion Factor | MDB | Multilateral Development Banks |
| CCP | Central Counterparty | MR | Market Risk |
| CCR | Counterparty Credit Risk | MTM | Mark-To-Market |
| CCyB | Countercyclical capital Buffer | NII | Net Interest Income |
| CDOs | Collateralised Debt Obligations | NSFR | Net Stable Funding Ratio |
| CDS | Credit Default Swap | O-SII | Other Systemically Important Institution |
| CET1 | Common Equity Tier 1 | OBSC | Operational Balance Sheet Committee |
| CIB | Corporate and Institutional Banking | OTC | Over the Counter |
| CMBS | Commercial Mortgage Backed Securities | PD | Probability of Default |
| CQS | Credit Quality Step | PFE | Potential Future Exposure |
| CPM | Credit & Portfolio Management | PIP | Portfolio Impairment Provision |
| CRD | Capital Requirements Directive | PIT | Point in Time |
| CRM | Credit Risk Mitigation | PM | Portfolio Management |
| CRO | Chief Risk Offi cer | PRA | Prudential Regulation Authority |
| CRR | Capital Requirements Regulation | PV01 | Present Value 01 |
| CSA | Credit Support Annex | PVA | Prudent Valuation Adjustment |
| CSDG | Capital Structuring & Distribution Group | QCCP | Qualifying Central Counterparty |
| CVA | Credit Valuation Adjustment | QRRE | Qualifying Revolving Retail Exposure |
| D-SIB | Domestic Systemically Important Bank | RMB | Renminbi |
| DVA | Debit Valuation Adjustment | RMBS | Residential Mortgage Backed Securities |
| EAD | Exposure at Default | RNIV | Risk not in VaR |
| EBA | European Banking Authority | RTS | Regulatory Technical Standards |
| ECAI | External Credit Assessment Institutions | RWAs | Risk-Weighted Assets |
| EL | Expected Loss | SA | Standardised Approach |
| FCA | Financial Conduct Authority | SFT | Securities Financing Transactions |
| FIRB | Foundation Internal Ratings Based approach | SIF | Signifi cant Infl uence Function |
| FPC | Financial Policy Committee | SME | Small and Medium-sized Enterprise |
| FSB | Financial Stability Board | SPE | Special Purpose Entity |
| FSS | Financial Supervisory Service (South Korea) | SVaR | Stressed VaR |
| FVA | Funding Valuation Adjustments | T1 | Tier 1 capital |
| GCRO | Group Chief Risk Offi cer | T2 | Tier 2 capital |
| G-SIB | Global Systemically Important Bank | TC | Total Capital |
| G-SII | Global Systemically Important Institutions | TLAC | Total loss-absorbing capacity |
| HKMA | Hong Kong Monetary Authority | TM | Treasury Markets |
| HQLA | High Quality Liquid Asset | TRS | Total Return Swap |
| IAS | International Accounting Standard | TTC | Through the Cycle |
| ICAAP | Internal Capital Adequacy Assessment Process | VaR | Value at Risk |
| ILAAP | Internal Liquidity Adequacy Assessment Process | VBC | Valuation and Benchmarks Committee |
| IFRS | International Financial Reporting Standards | XVA | Credit and Funding Valuation Adjustment |
Glossary
| Additional Tier 1 (AT1) capital Additional Tier 1 capital consists of instruments issued by the bank and related share premium other than Common Equity Tier 1 that meet the Capital Requirement Regulation (CRR) criteria for inclusion in Tier 1 capital. |
|
|---|---|
| Advanced Internal Rating Based (AIRB) approach |
The AIRB approach under the Basel framework is used to calculate credit risk capital based on the Group's own estimates of prudential parameters. |
| Arrears | A debt or other fi nancial obligation is considered to be in a state of arrears when payments are overdue. Loans and advances are considered to be delinquent when consecutive payments are missed. Also known as 'delinquency'. |
| Available-for-Sale | Non-derivative fi nancial assets that are designated as available-for-sale or are not classifi ed as loans and receivables; held to maturity investments, or fi nancial assets at fair value through profi t or loss. |
| ASEAN | Association of South East Asian Nations (ASEAN) which includes the Group's operation in Brunei, Indonesia, Malaysia, Philippines, Singapore, Thailand and Vietnam. |
| Asset Backed Securities (ABS) |
Securities that represent an interest in an underlying pool of referenced assets. The referenced pool can comprise any assets which attract a set of associated cashfl ows but are commonly pools of residential or commercial mortgages and in the case of Collateralised Debt Obligations (CDOs), the reference pool may be ABS. |
| Attributable profi t to ordinary shareholders |
Profi t for the year after non-controlling interests and the declaration of dividends on preference shares classifi ed as equity. |
| Backtesting | A statistical technique used to monitor and assess the accuracy of a model, and how that model would have performed had it been applied in the past. |
| Basel II | The capital adequacy framework issued by the Basel Committee on Banking Supervision (BCBS) in June 2006 in the form of the 'International Convergence of Capital Measurement and Capital Standards'. |
| Basel III | In December 2010, the BCBS issued the Basel III rules text, which were updated in June 2011, and represents the details of strengthened global regulatory standards on bank capital adequacy and liquidity. The new requirements have been phased in and will be fully implemented by 1 January 2019. In December 2017, the BCBS published a document setting out the fi nalisation of the Basel III framework. The new requirements issued in December 2017 will be implemented from 2022. |
| Basis point (bps) | One hundredth of a per cent (0.01 per cent); 100 basis points is 1 per cent. Used in quoting movements e.g. in interest rates or yields on securities. |
| Capital conservation buffer | A capital buffer prescribed by regulators under Basel III and designed to ensure banks build up capital buffers outside periods of stress which can be drawn down as losses are incurred. Should a bank's CET1 capital fall within the capital conservation buffer range, capital distributions will be constrained by the regulators. |
| Capital Requirements Directive (CRD) |
A capital adequacy legislative package adopted by EU member states. CRD IV comprises the recast Capital Requirements Directive and the Capital Requirements Regulation (CRR). The package implements the Basel III framework together with transitional arrangements for some of its requirements. CRD IV came into force on 1 January 2014. |
| Central Counterparty (CCP) | A CCP is a clearing house that acts as an intermediary between counterparties for certain products that are traded in one or more fi nancial markets. |
| Common Equity Tier 1 (CET1) capital |
Common Equity Tier 1 capital consists of the common shares issued by the bank and related share premium, retained earnings, accumulated other comprehensive income and other disclosed reserves, eligible non-controlling interests and regulatory adjustments required in the calculation of Common Equity Tier 1. |
| Common Equity Tier 1 ratio | Common Equity Tier 1 capital as a percentage of risk-weighted assets. |
| Countercyclical capital buffer (CCyB) |
The countercyclical capital buffer is part of a set of macroprudential instruments, designed to help counter pro cyclicality in the fi nancial system. CCyB as defi ned in the Basel III standard provides for an additional capital requirement of up to 2.5 per cent of risk-weighted assets in a given jurisdiction. The Bank of England's Financial Policy Committee has the power to set CCyB rate for the United Kingdom. Each bank must calculate its 'institution-specifi c' CCyB rate, defi ned as the weighted average of the CCyB rates in effect across the jurisdictions in which it has credit exposures. The institution-specifi c CCyB rate is then applied to a bank's total risk weighted assets. |
| Counterparty credit risk (CCR) |
The risk that a counterparty defaults before satisfying its obligations under a derivative, a securities fi nancing transaction (SFT) or a similar contract. |
| CRD IV | Represents the Capital Requirements Directive (CRD) and Capital Requirements Regulation (CRR) that implement the Basel III proposals in Europe. |
| Credit Conversion Factor (CCF) |
Either prescribed by CRR or modelled by the bank, an estimate of the amount the Group expects a customer to have drawn further on a facility limit at the point of default. |
| Credit Default Swap (CDS) | A derivative contract where a buyer pays a fee to a seller in return for receiving a payment in the event of a credit event (for example bankruptcy, payment default on a reference asset or assets, or downgrades by an rating agency) on an underlying obligation. |
| Credit quality step (CQS) | Credit Quality Steps (CQS) are used to derive the risk-weight to be applied to exposures treated under the Standardised approach to credit risk. |
| Credit risk | Credit risk is the potential for loss due to the failure of a counterparty to meet its obligations to pay the Group in accordance with agreed terms. |
| Credit risk mitigation (CRM) | Credit risk mitigation is a process to mitigate potential credit losses from any given account, customer or portfolio by using a range of tools such as collateral, netting agreements, credit insurance, credit derivatives and guarantees. |
|---|---|
| Credit support annex (CSA) | A legal document that regulates the exchange of collateral between the parties of OTC derivative transactions. |
| Credit Valuation Adjustment (CVA) |
In the context of prudential requirements, additional regulatory capital charge that covers the risk of mark to market losses associated with changes in the credit worthiness of counterparties to derivative transactions. |
| Debit Valuation Adjustment (DVA) |
In the context of prudential requirements, adjustment required to Tier 1 capital to derecognise any unrealised fair value gains and losses associated with fair valued liabilities that are attributable to the market's perception of the Group's credit worthiness. |
| Domestic systemically important banks (D-SIB) |
Domestic systemically important banks are deemed systemically relevant for the domestic fi nancial system in which they operate. The FSB and the BCBS have developed a framework for identifying and dealing with D-SIBs. The D-SIB framework has been implemented in the EU via CRD IV which refers to D-SIBs as Other Systemically Important Institutions (O-SIIs). |
| Equity price risk | The fi nancial risk involved in holding equity in a particular investment. Arises from changes in the prices of equities, equity indices, equity baskets and implied volatilities on related options. |
| Expected Loss (EL) | The Group measure of anticipated loss for exposures captured under an internal ratings based credit risk approach for capital adequacy calculations. It is measured as the Group-modelled view of anticipated loss based on Probability of Default (PD), Loss Given Default (LGD) and Exposure at Default (EAD), with a one-year time horizon. |
| Exposure | Credit exposures represent the amount lent to a customer, together with any undrawn commitment. |
| Exposure at default (EAD) | The estimation of the extent to which the Group may be exposed to a customer or counterparty in the event of, and at the time of, that counterparty's default. At default, the customer may not have drawn the loan fully or may already have repaid some of the principal, so that exposure is typically less than the approved loan limit. |
| External Credit Assessment Institutions (ECAI) |
For the Standardised Approach to credit risk for sovereigns, corporates and institutions, external ratings are used to assign risk-weights. These external ratings must come from credit rating agencies that are registered or certifi ed in accordance with the credit rating agencies (CRA) regulation or from a central bank issuing credit ratings which is exempt from the application this regulation. |
| Fair value | The value of an asset or liability when it is transacted on an arm's length basis between knowledgeable and willing parties. |
| Financial Policy Committee (FPC) |
The Financial Policy Committee is an independent committee at the Bank of England that has the primary objective of identifying, monitoring and taking action to remove or reduce systemic risks with a view to protecting and enhancing the resilience of the UK fi nancial system. The FPC's secondary objective is to support the economic policy of the Government. |
| Foreseeable dividends net of scrip |
Includes both ordinary and preference share dividends reasonably expected to be paid out of any future residual interim or year-end profi ts. In the case of ordinary dividends, the amount of foreseeable dividends deducted from the interim or year-end profi ts is equal to the amount of interim or year-end profi ts multiplied by the dividend payout ratio. In the case of preference share dividends, the amount of foreseeable dividends is equal to the amount accrued during the relevant reporting period payable at a future date. |
| Foundation Internal Ratings Based (FIRB) Approach |
A method of calculating credit risk capital requirements using internal PD models but with supervisory estimates of LGD and conversion factors for the calculation of EAD. |
| Free delivery | When a bank takes receipt of a debt or equity security, a commodity or foreign exchange without making immediate payment, or where a bank delivers a debt or equity security, a commodity or foreign exchange without receiving immediate payment. |
| Funding valuation adjustments (FVA) |
FVA refl ects an adjustment to fair value in respect of derivative contracts associated with the funding costs that the market participant would incorporate when determining an exit price. |
| Greater China | Greater China includes the Group's operation in the People's Republic of China, the Hong Kong Special Administrative Region of the People's Republic of China and Taiwan. |
| Global Systemically Important Bank (G-SIB) |
Global fi nancial institutions whose size, complexity and systemic interconnectedness mean that their distress or failure would cause signifi cant disruption to the wider fi nancial system and economic activity. The Financial Stability Board (FSB) and the Basel Committee on Banking Supervision (BCBS) have established a methodology to identify G-SIBs based on 12 principal indicators. The list of G-SIBs is re-assessed through annual re-scoring of banks and a triennial review of the methodology. The G-SIB framework established by the FSB and the BCBS is implemented in the EU via CRD IV and G-SIBs are referred to as Global Systemically Important Institutions (G-SIIs). |
| G-SIB buffer | Designation as G-SIB will result in the application of a CET1 capital buffer ('G-SIB buffer'). The G-SIB buffer is between 1 per cent and 3.5 per cent, dependent on the allocation to one of fi ve buckets based on the annual scoring. The G-SIB buffer is being phased in by 1 January 2019. In the EU, the G-SIB buffer is implemented via CRD IV as Global Systemically Important Institutions (G-SII) buffer requirement. |
| Haircut | A haircut, or volatility adjustment, ensures the value of exposures and collateral are adjusted to account for the volatility caused by foreign exchange or maturity mismatches, when the currency and maturity of an exposure differ materially to the currency and maturity of the associated collateral. |
| Held-to-maturity | Held-to-maturity assets are non-derivative financial assets with fixed or determinable payments and fixed maturities that the Group's management has the intention and ability to hold to maturity. |
| Impaired loans | Loans where individually identifi ed impairment provisions have been raised. Also includes loans which are collateralised or where indebtedness has already been written down to the expected realisable value. The impaired loan category may include loans, which, while impaired, are still performing. |
| Individually assessed loan impairment provisions (IIP) |
Impairment is measured for assets that are individually signifi cant to the Group. Typically assets within the Corporate & Institutional Banking segment of the Group are assessed individually. |
|---|---|
| Individual capital guidance | Guidance given by the PRA to the Group about the amount and quality of capital resources to maintain. |
| Individual impairment charge The amount of individually assessed loan impairment provisions that are charged to the income statement in the reporting period. |
|
| Individual liquidity guidance | Guidance given by the PRA to the Group about the amount, quality and funding profi le of liquidity resources to maintain. |
| Institution | A credit institution or an investment fi rm as defi ned under the Capital Requirement Regulation (CRR). |
| Internal Capital Adequacy Assessment Process (ICAAP) |
A requirement on institutions under Pillar 2 of the Basel framework to undertake a comprehensive assessment of their risks and to determine the appropriate amounts of capital to be held against these risks. |
| Internal Liquidity Adequacy Assessment Process (ILAAP) |
A requirement on institutions under Pillar 2 of the Basel framework to undertake a comprehensive assessment of their risks and to determine the appropriate amounts of liquidity to be held against these risks. |
| Internal Model Approach (IMA) |
The approach used to calculate market risk capital and RWA with an internal market risk model approved by the PRA under the terms of CRD IV/CRR. |
| Interest Rate Risk (IRR) | Interest rate risk arises due to the investment into rate-sensitive assets, as well as from mismatches between debt issuance and placements. |
| Internal ratings-based approach ('IRB') |
Risk-weighting methodology in accordance with the Basel Capital Accord where capital requirements are based on a fi rm's own estimates of prudential parameters. |
| Items belonging to regulatory high-risk categories |
In relation to the Standardised Approach to credit risk, items which attract a risk-weight of 150 per cent. This includes exposures arising from venture capital business and certain positions in collective investment schemes. |
| Leverage ratio | A ratio introduced under Basel III / CRD IV that compares Tier 1 capital to total exposures, including certain exposures held off-balance sheet as adjusted by stipulated credit conversion factors. Intended to be a simple, non-risk based backstop measure. |
| Liquidity Coverage Ratio (LCR) |
The ratio of the stock of high quality liquid assets to expected net cash outfl ows over the following 30 days. High quality liquid assets should be unencumbered, liquid in markets during a time of stress and, ideally, be central bank eligible. |
| Loans and advances | This represents lending made under bilateral agreements with customers entered into in the normal course of business and is based on the legal form of the instrument. |
| Loss Given Default (LGD) | The percentage of an exposure that a lender expects to lose in the event of obligor default. |
| Mark-to-market approach | One of the approaches available to banks to calculate the exposure value associated with derivative transactions. The approach calculates the current replacement cost of derivative contracts, by determining the market value of the contract and considering any potential future exposure. |
| Market risk | The potential for loss of earnings or economic value due to adverse changes in fi nancial market rates or prices. |
| Maturity | The time from the reporting date to the contractual maturity date of an exposure, capped at fi ve years. Maturity is considered as part of the calculation of risk-weights for the Group's exposures treated under the IRB approach to credit risk. |
| MENAP | Middle East, North Africa and Pakistan (MENAP) includes the Group's operation in Afghanistan, Bahrain, Egypt, Islamic Republic of Iran, Iraq, Jordan, Lebanon, Oman, Pakistan, Occupied Palestinian Territory, Qatar, Saudi Arabia and United Arab Emirates (UAE). |
| Minimum capital requirement |
Minimum capital required to be held for credit, market and operational risk. |
| Model validation | The process of assessing how well a model performs using a predefi ned set of criteria including the discriminatory power of the model, the appropriateness of the inputs, and expert opinion. |
| MREL or minimum requirement for own fund and eligible liabilities |
A requirement under the Bank Recovery and Resolution Directive for EU resolution authorities to set a minimum requirement for own funds and eligible liabilities for banks, implementing the FSB's Total Loss Absorbing Capacity (TLAC) standard. MREL is intended to ensure there is suffi cient equity and specifi c types of liabilities to facilitate an orderly resolution that minimises any impact on fi nancial stability and ensures the continuity of critical functions and avoids exposing taxpayers to loss. |
| Multilateral Development Banks (MDB) |
An institution created by a group of countries to provide fi nancing for the purpose of development. Under the Standardised approach to credit risk, eligible multilateral development banks attract a zero per cent risk-weight. |
| Net stable funding ratio (NSFR) |
The ratio of available stable funding to required stable funding over a one year time horizon, assuming a stressed scenario. It is a longer-term liquidity measure designed to restrain the amount of wholesale borrowing and encourage stable funding over a one year time horizon. |
| North East (NE) Asia | North East (NE) Asia includes the Group's operation in the Republic of Korea and Japan. |
| Operational risk | The potential for loss arising from the failure of people, process, or technology, or the impact of external events. |
| Over-the-Counter (OTC) traded products/OTC derivatives |
A bilateral transaction that is not exchange traded and is valued using valuation models. |
| Pillar 1 | The fi rst Pillar of the three pillars of Basel framework which provides the approach to the calculation of the minimum capital requirements for credit, market and operational risk. Minimum capital requirements are 8 per cent of the Group's risk-weighted assets. |
| Pillar 2 | The second pillar of the three pillars of Basel framework which requires banks to undertake a comprehensive assessment of their risks and to determine the appropriate amounts of capital to be held against these risks where other suitable mitigants are not available. |
|---|---|
| Pillar 3 | The third pillar of the three pillars of Basel framework which aims to provide a consistent and comprehensive disclosure framework that enhances comparability between banks and further promotes improvements in risk practices. |
| Point in time (PIT) | Considers the economic conditions at the point in the economic cycle at which default occurs when estimating the probability of default. |
| Portfolio Impairment Provision (PIP) |
The amount of loan impairment provisions assessed on the collective portfolio that are charged to the income statement in the reporting period. |
| Potential Future Exposure (PFE) |
As estimate of the potential increase in exposure that may arise on a derivative contract prior to default, used to derive the exposure amount. |
| Probability of Default (PD) | PD is an internal estimate for each borrower grade of the likelihood that an obligor will default on an obligation within 12 months. |
| Present Value 01 (PV01) | This represents the change in present value of an asset or liability for a 1 basis point change in the nominal yield curve. |
| Prudential Regulatory Authority (PRA) |
The Prudential Regulation Authority is the statutory body responsible for the prudential supervision of banks, building societies, credit unions, insurers and a small number of signifi cant investment fi rms in the UK. The PRA is a part of the Bank of England. |
| Prudent Valuation Adjustment (PVA) |
An adjustment to CET1 capital, to refl ect the difference between the accounting fair value and the regulatory prudent value of positions, where the application of prudence results in a lower absolute carrying value than recognised in the fi nancial statements. |
| Qualifying Central Counterparty (QCCP) |
Central counterparty that is either authorised (when established in the EU) or recognised (when established in a third-country) in accordance with the rules laid down in the European Market Infrastructure Regulation (EMIR). |
| Qualifying Revolving Retail Exposure (QRRE) |
Retail IRB exposures that are revolving, unsecured, and, to the extent they are not drawn, immediately and unconditionally cancellable, such as credit cards. |
| Regulatory capital | Sum of Tier 1 and Tier 2 capital after regulatory adjustments. |
| Repurchase agreement (repo)/reverse repurchase agreement (reverse repo) |
A short term funding agreement which allows a borrower to sell a fi nancial asset, such as ABS or Government bonds as collateral for cash. As part of the agreement the borrower agrees to repurchase the security at some later date, usually less than 30 days, repaying the proceeds of the loan. For the party on the other end of the transaction (buying the security and agreeing to sell in the future) it is a reverse repurchase agreement or reverse repo. |
| Residential Mortgage Backed Securities (RMBS) |
Securities that represent interests in a group of residential mortgages. Investors in these securities have the right to cash received from future mortgage payments (interest and/or principal). |
| Residual maturity | The remaining maturity of a facility from the reporting date until either the contractual maturity of the facility or the effective maturity date. |
| Retail Internal Ratings Based (Retail IRB) Approach |
In accordance with the PRA handbook and CRR, the approach to calculating credit risk capital requirements for eligible retail exposures. |
| Risk Appetite | Risk Appetite is defi ned by the Group and approved by the Board. It is the maximum amount and type of risk the Group is willing to assume in pursuit of its strategy. |
| Risk Capacity | The maximum level of risk the Group can assume, given its current capabilities and resources, before breaching constraints determined by capital and liquidity requirements and internal operational capability (including but not limited to technical infrastructure, risk management capabilities, expertise), or otherwise failing to meet the expectations of regulators and law enforcement agencies. |
| Risk-weighted assets (RWAs) A measure of a bank's assets adjusted for their associated risks, expressed as a percentage of an exposure value in accordance with the applicable Standardised or IRB approach provisions. |
|
| RWA density | The risk-weighted asset as a percentage of exposure at default (EAD). |
| Scrip dividends | Dividends paid to existing shareholders in securities instead of cash payment. |
| Securities Financing Transactions (SFT) |
Securities Financing Transactions are secured (i.e. collateralised) transactions that involve the temporary exchange of cash against securities, or securities against other securities, e.g. stock lending or stock borrowing or the lending or borrowing of other fi nancial instruments, a repurchase or reverse repurchase transaction, or a buy-sell back or sell-buy back transaction. |
| Securitisation | Securitisation is a process by which credit exposures are aggregated into a pool, which is used to back new securities. Under traditional securitisation transactions, assets are sold to a special purpose entity (SPE) who then issues new securities to investors at different level of seniority (credit tranching). This allows the credit quality of the assets to be separated from the credit rating of the originating institution and transfers risk to external investors in a way that meets their risk appetite. Under synthetic securitisation transactions, the transfer of risk is achieved by the use of credit derivatives or guarantees, and the exposures being securitized remain exposures of the originating institution. |
| Securitisation position(s) | The positions assumed by the Group following the purchase of securities issued by Asset-Backed Securitisation programmes or those retained following the origination of a securitisation programme. |
| South Asia | South Asia includes the Group's operation in Bangladesh, India, Nepal and Sri Lanka. |
| Specialised lending | Specialised lending exposures are defi ned as an exposure to an entity which was created specifi cally to fi nance and/ or operate physical assets, where the contractual arrangements given the lender a substantial degree of control over the assets and the income that they generate and the primary source of repayment of the obligation is the income generated by the assets being fi nanced, rather than the independent capacity of a broader commercial enterprise. |
| Special Purpose Entities (SPEs) |
SPEs are entities that are created to accomplish a narrow and well defi ned objective. There are often specifi c restrictions or limits around their ongoing activities. Transactions with SPEs take a number of forms, including: the provision of fi nancing to fund asset purchases, or commitments to provide fi nancing for future purchases; derivative transactions to provide investors in the SPE with a specifi ed exposure; the provision of liquidity or backstop facilities which may be drawn upon if the SPE experiences future funding diffi culties; and direct investment in the notes or equity issued by SPEs. |
|---|---|
| Standardised Approach (SA) | In relation to credit risk, a method for calculating credit risk capital requirements using External Credit Assessment Institutions (ECAI) ratings and supervisory risk-weights. In relation to operational risk, a method of calculating the operational risk capital requirement by the application of a supervisory defi ned percentage charge to the gross income of eight specifi ed business lines. |
| Stressed Value at Risk (SVAR) |
A regulatory market risk measure based on potential market movements for a continuous one-year period of stress for a trading portfolio. |
| Through the cycle (TTC) | Reduces the volatility in the estimation of the probability of default by considering the average conditions over the economic cycle at the point of default, versus the point in time (PIT) approach, which considers economic conditions at the point of the economic cycle at which default occurs. |
| Tier 1 capital | Tier 1 capital comprises Common Equity Tier 1 capital plus Additional Tier 1 securities and related share premium accounts. |
| Tier 1 capital ratio | Tier 1 capital as a percentage of risk-weighted assets. |
| Tier 2 capital | Tier 2 capital comprises qualifying subordinated liabilities and related share premium accounts. |
| Total Loss Absorbing Capacity (TLAC) |
An international standard for TLAC issued by the FSB, which requires G-SIBs to have suffi cient loss-absorbing and recapitalisation capacity available in resolution, to minimise impacts on fi nancial stability, maintain the continuity of critical functions and avoid exposing public funds to loss. |
| Total Return Swap (TRS) | A derivative transaction that swaps the total return on a fi nancial instrument, including cashfl ows and capital gains or losses, for an interest rate return. |
| Trading book | The trading book consists of all positions in CRD fi nancial instrument and commodities which are fair valued through the profi t and loss account for accounting purposes, which are held either with trading intent or in order to hedge other elements of the trading book and which are either free of any restrictive covenants on their tradability or ability to be hedged. |
| Value at Risk (VAR) | A quantitative measure of market risk estimating the potential loss that will not be exceeded in a set time period at a set statistical confi dence level. |
| Write downs | After an advance has been identifi ed as impaired and is subject to an impairment allowance, the stage may be reached whereby it is concluded that there is no realistic prospect of further recovery. Write downs will occur when and to the extent that, the whole or part of a debt is considered irrecoverable. |
| Wrong way risk | Wrong way risk occurs when an exposure increase is coupled with a decrease in the credit quality of the obligor. |
Prudential disclosure reference
| CRR article ref. | Requirement summary | Disclosure | |
|---|---|---|---|
| Scope of disclosure requirement | |||
| 431 | (1) | Mandate for institutions to publicly disclose information laid down in Article 432. |
The Group publishes Pillar 3 disclosures |
| (2) | Institutions to disclose operational risk information in accordance with the applicable approaches. |
The Group applies the standardised approach, RWAs and capital requirements for operational risk are shown in Table 12: (OV1) on page 17 and in the 2017 Annual Reports and Accounts on page 187 |
|
| (3) | Institutions must have formal policy in place to comply with the prudential disclosure requirements. |
The Group has a dedicated policy governing prudential disclosure requirements in place |
|
| (4) | Explanation of ratings decisions to SMEs and corporates when asked. |
The Group provides ratings decisions to SMEs and corporates upon request |
|
| Non-material, proprietary or confi dential information | |||
| 432 | (1) | Information may be omitted from disclosure if not regarded material. |
Items omitted from disclosure are listed in section 1.3. Regulatory disclosure – Framework on page 2 |
| (2) | Information may be omitted from disclosure if regarded proprietary or confi dential. |
See Article 432(1) above | |
| (3) | Disclosure must contain a list of omitted information with reasons clearly stated. |
See Article 432(1) above | |
| (4) | All material, non-confi dential and non-proprietary information must be disclosed. |
All material, non-confi dential and non-proprietary information is disclosed by the Group in its 2017 Pillar 3 and 2017 Annual Report and Accounts. |
|
| Frequency of disclosure | |||
| 433 | Disclosures in accordance with the rules laid down must be made at least annually in conjunction with the fi nancial statements. |
Section 1.3 Regulatory disclosure – Framework sub-section on Frequency on page 3 |
|
| Institutions should consider the need to publish information with increased frequency on own funds, risk exposures and items prone to rapid change. |
|||
| EBA mandate to publish guidelines on the application of more | EBA/GL/2014/14 published on 23 December 2014 | ||
| frequent disclosures. | EBA/GL/2016/11 published on 14 December 2016 | ||
| Means of disclosure | |||
| 434 | (1) | Institutions may determine the appropriate medium, location and means of verifi cation to comply with the disclosure requirements. |
Section 1.3 Regulatory disclosure – Framework, sub-section on Verifi cation on page 3 |
| The 2017 Pillar 3 document is made publicly available on the Group website with the 2017 Annual Report and Accounts and other public disclosures. |
|||
| (2) | Equivalent disclosures made by institutions under accounting, listings or other requirements may be deemed compliant with Pillar 3. |
The Group discharges parts of the prudential disclosure requirements in the 2017 Annual Reports and Accounts, in Main Features and GSIB disclosures, with cross references to exact locations provided in its Pillar 3 document. |
|
| Risk management objectives and policies | |||
| 435 | (1)(a) | Description of risk management objectives and policies for each risk category, including strategies and process to manage those |
Section 1.4 Risk management on pages 3 to 4 |
| risks. | Risk management approach section in the 2017 Annual Report and Accounts on pages 159 to 182 |
||
| (1)(b) | The structure and organisation of the risk management functions. See Article 435 (1)(a) above | ||
| (1)(c) | The scope and nature of risk reporting and measurement systems. |
See Article 435 (1)(a) above | |
| (1)(d) | Policies for hedging and mitigating risk, strategies for monitoring the effectiveness of these risk mitigants. |
See Article 435 (1)(a) above | |
| (1)(e) | Declaration approved by management body on the adequacy of risk management arrangements. |
See Article 435 (1)(a) above | |
| (1)(f) | Risk statement approved by the management body including key ratios and fi gures to demonstrate a comprehensive view of the institution. |
Key ratios and fi gures are highlighted in section 1.2 on pages 1 to 2 and in the 2017 Annual Report and Accounts on pages 119 |
|
| (2)(a) | The disclosure must contain information on the number of directorship held. |
2017 Annual Reports and Accounts, Board of Directors, on pages 47 to 49 |
| CRR article ref. | Requirement summary | Disclosure | |
|---|---|---|---|
| 435 | (2)(b) | The recruitment policy for the members of management body. | 2017 Annual Reports and Accounts, Board of Directors and Management Team on pages 47 to 52 and Governance and Nomination Committee on pages 76 to 79 |
| (2)(c) | Policy on diversity for members of the management body. | 2017 Annual Reports and Accounts, Governance and Nomination Committee, on pages 76 to 79. Further information published on the Group website sc.com/boarddiversitypolicy |
|
| (2)(d) | Whether the institution has a separate risk committee and the number of times they meet. |
2017 Annual Reports and Accounts, Corporate Governance, on pages 69 to 72 |
|
| (2)(e) | Description of information fl ow on risk to the management body. | 2017 Annual Reports and Accounts, Risk management, on pages 33 to 35 |
|
| Scope of application | |||
| 436 | (a) | Disclosure to contain the name of the institution. | Name of the Group and the Group logo are displayed on the cover page of the disclosures. |
| (b)(i) | Clarify the differences between the basis of consolidation for | Table 2: Regulatory Consolidation on page 5 | |
| accounting and prudential purposes with short explanation of entities and whether they are fully consolidated. |
Table 3: Outline of the differences in the scope of consolidation (LI3) on page 5 |
||
| (b)(ii) | Proportionally consolidated, | See Article 436(b)(i) above | |
| (b)(iii) | Deducted from own funds, | See Article 436(b)(i) above | |
| (b)(iv) | Neither consolidated nor deducted. | See Article 436(b)(i) above | |
| (c) | Explain any current or foreseen impediments to transfer of own funds to between parent and subsidiaries. |
Note 32 of the 2017 Annual Report and Accounts on page 276 | |
| (d) | The amount of capital defi ciency in subsidiaries not included in the consolidation. |
Entities not included in the scope of prudential consolidation are appropriately capitalised |
|
| (e) | Making use of articles on derogations from a) prudential requirements or b) liquidity requirements for individual subsidiaries/entities. |
The Group makes use of the individual consolidation method according to a waiver provided by the PRA |
|
| Own funds | |||
| 437 | (1)(a) | Reconciliation of CET1, AT1, T2, fi lters and deductions to fi nancial accounts. |
Table 7. Reconciliation between fi nancial total and regulatory CET1 before regulatory adjustments on page 11 |
| (1)(b) | Main features of the CET1, AT1 and T2 instruments issued by the institution. |
Section 2.2 Capital resources on page 12 | |
| (1)(c) | Full terms and conditions of CET1, AT1 and T2 capital instruments. |
See Article 437(1)(b) above | |
| (1)(d)(i) | The nature and amounts of each prudential fi lter. | Table 8 Capital base on page 12 | |
| (1)(d)(ii) | The nature and amounts of each deduction made. | Table 8 Capital base on page 12 | |
| (1)(d)(iii) | The nature and amounts of non-deducted items. | Table 8 Capital base on page 12 | |
| (1)(e) | Description of restrictions applied to the calculation of own funds. | There were no restrictions applied to the calculation of own funds | |
| (1)(f) | Description of own funds calculation based on alternative methods. |
The Group follows own funds calculation set out in the CRR, in the format set out by the below implementing regulation. |
|
| (2) | EBA mandate to develop common disclosure templates. | Implementing Regulation (EU) No 1423/2013 | |
| Capital requirements | |||
| 438 | (a) | Summary of approach to assessing capital adequacy. | Section 2.1 Capital management on page 11 |
| Capital planning on page 183 of the 2017 ARA | |||
| (b) | On demand from the regulatory the results of capital adequacy assessment. |
There was no specifi c demand for the Group from the PRA. Following industry practice the Group's Pillar 2A results are disclosed in section 2.2 Capital resources on page 12 |
|
| (c) | 8% risk weight to be assigned to exposures under the | Table 12: Overview of RWA (OV1) on page 17 | |
| standardised approach for each asset class. | Table 14: RWA fl ow statements of credit risk exposures under IRB (CR8) on page 18 |
||
| (d)(i) | 8% risk weight to be assigned to exposures under the IRB | Table 12: Overview of RWA (OV1) on page 17 | |
| approach for each asset class, including all categories of retail and equity exposures. |
Table 14: RWA fl ow statements of credit risk exposures under IRB (CR8) on page 18 |
||
| (d)(ii) | 8% risk weight to be assigned to exposures under the IRB approach for exchange traded, private equity and other exposures. |
Table 12: Overview of RWA (OV1) on page 17 | |
| (d)(iii) | 8% risk weight to be assigned to exposures under the IRB approach for exposures subject to supervisory transition. |
The Group has no exposures subject to supervisory transition |
| CRR article ref. | Requirement summary | Disclosure | |
|---|---|---|---|
| 438 | (d)(iv) | 8% risk weight to be assigned to exposures under the IRB approach for exposures subject to grandfathering provisions. |
The Group has no exposures subject to grandfathering |
| (e) | Disclosure of own funds requirements. | Section 2.4 Capital requirements on pages 17 to 19 | |
| (f) | Disclosure of own funds requirements calculated for operational risk by approaches used. |
Table 12: Overview of RWA (OV1) on page 17 | |
| Exposure to counterparty credit risk | |||
| 439 | (a) | Methodology used to assign internal capital and credit limits for counterparty credit risk. |
Section 3.9. Counterparty credit risk on page 63 |
| (b) | Discussion of policies for securing collateral and establishing credit reserves. |
Section 3.9. Counterparty credit risk on page 63 | |
| (c) | Discussion of policies on wrong-way risk exposures. | Section 3.9. Counterparty credit risk on page 63 | |
| (d) | The amount of collateral that would need to be provided in the event of downgrade. |
Section 3.9. Counterparty credit risk on page 63 | |
| (e) | FV of contracts, netting benefi ts, netted current credit exposure, collateral held and net derivatives credit exposure. |
Table 60: Impact of netting and collateral held on exposure values (CCR5-A) on page 64 |
|
| (f) | Exposure values under the mark to market, original exposure, standardised or internal model methods as applicable. |
Table 61: Analysis of CCR exposures by approach (CCR1) on page 64 |
|
| (g) | The notional value of credit derivative hedges and CRM by types of exposure. |
Table 63: Credit derivatives exposures (CCR6) on page 65 | |
| (h) | The notional amount of credit derivatives by own portfolio and intermediation activities, by products and by bought and sold. |
Table 63: Credit derivatives exposures (CCR6) on page 65 | |
| (i) | Estimate of alfa. | The Group does not have Internal Model Method approval | |
| Capital buffers | |||
| 440 | (1)(a) | Amount of credit exposures used in the calculation of countercyclical capital buffer by geography. |
Table 10: Geographical distribution of credit exposures relevant for the calculation of the countercyclical capital buffer on page 14 |
| (1)(b) | The amount of institution specifi c countercyclical capital buffer. | Table 11: Amount of institution specifi c countercyclical capital buffer on page 16 |
|
| (2) | EBA mandate to develop implementing technical standards specifying disclosure requirements. |
Commission Delegated Regulation (EU) 2015/1555 published on 28 May 2015 |
|
| Indicators of global systemic importance | |||
| 441 | (1) | Institutions identifi ed as G-SIIs to disclose the values of indicators on an annual basis. |
Discussed on in Section 1.3. Regulatory disclosure framework on page 2 |
| (2) | EBA mandate to draft ITS for reporting. | Commission Implementing Regulation (EU) 2016/818 | |
| Credit risk adjustments | |||
| 442 | (a) | Accounting defi nition of past due and impaired. | Glossary sections of Pillar 3 and the Annual Report and Accounts on pages 96 to 100 and 335 to 340 respectively |
| Credit risk section of the 2017 Annual Report and Accounts on page 125 |
|||
| (b) | Approaches and methods used for determining specifi c and | Section 3.4. Exposure values on page 41 | |
| general credit risk adjustments. | Note 8 of the 2017 Annual Report and Account on pages 218 to 221 |
||
| (c) | Exposure and average exposure after accounting offsets and pre credit risk mitigations by asset classes. |
Table 31: Total and average exposure at default (CRB-B) on page 34 |
|
| (d) | Exposure by signifi cant geographies and material exposures classes. |
Table 32: Exposure at default by geography (CRB-C) on page 35 | |
| (e) | Exposures by industry and by exposure classes. | Table 33: Exposure at default by industry (CRB-D) on page 37 | |
| (f) | Exposures by residual maturity and by exposure class. | Table 34: Exposure at default by maturity (CRB-E) on page 39 | |
| (g)(i) | By industry or counterparty type the amount of impaired and past due exposures. |
Table 35: Credit quality of exposures by exposure class and instrument (CR1-A) on page 41 |
|
| Table 36: Credit quality of exposures by industry or counterparty types (CR1-B) on page 42 |
|||
| (g)(ii) | By industry or counterparty type the amount of specifi c and general credit risk adjustments. |
See Article 442(g)(i) above | |
| (g)(iii) | By industry or counterparty type the amount of specifi c and general credit risk charges for the period. |
See Article 442(g)(i) above | |
| (h) | Impaired and past due exposures by geography. | Table 37: Credit quality of exposures by geography (CR1-C) on page 42 |
|
| Table 38: Ageing of past due exposures (CR1-D) on page 42 |
| CRR article ref. | Requirement summary | Disclosure | |
|---|---|---|---|
| 442 | (i)(i) | Reconciliation of changes in specifi c and general credit risk adjustments for impaired exposers by type of credit risk |
Table 39: Non-performing and forborne exposures (CR1-E) on page 43 |
| adjustments. | Table 40: Changes in the stock of general and specifi c credit risk adjustments (CR2-A) on page 43 |
||
| Table 41: Changes in the stock of defaulted and impaired loans and debt securities (CR2-B) on page 43 |
|||
| (i)(ii) | Opening balances for reconciliation of changes in specifi c and general credit risk adjustments. |
See Article 442(i)(i) above | |
| (i)(iii) | Credit risk adjustments during the period. | See Article 442(i)(i) above | |
| (i)(iv) | The amount reserved for probable losses during the period and any other adjustments. |
See Article 442(i)(i) above | |
| (i)(v) | Closing balance of the reconciliation for changes in specifi c and general credit risk adjustments. |
See Article 442(i)(i) above | |
| Unencumbered assets | |||
| 443 | EBA mandate to issue guidelines for disclosure of unencumbered assets. |
EBA/GL/2014/03 issued in December 2014 | |
| Use of ECAIs | |||
| 444 | (a) | The names of ECAIs used for the calculation of RWA under the standardised approach. |
Section 3.8. standardised risk weight profi le on page 60 |
| (b) | The exposure classes for which the ECAIs are used for the standardised approach. |
Section 3.8. standardised risk weight profi le on page 60 | |
| (c) | Description of the process used to transfer issuer and issue credit assessment onto banking book exposures. |
Section 3.8. standardised risk weight profi le on page 60 | |
| (d) | The relation between ECAIs and regulatory credit quality steps used within the standardised approach. |
Section 3.8. standardised risk weight profi le on page 60 | |
| (e) | The exposure values before and after credit risk mitigation for each credit quality step under the standardised approach. |
Table 58: Standardised approach – exposures by asset classes and risk weights (pre CRM pre CCF) (CR5) on page 60 |
|
| Table 59: Standardised approach – exposures by asset classes and risk weights (post CRM post CCF) (CR5) on page 62 |
|||
| Table 65: Standardised approach – CCR exposures by regulatory portfolio and risk (CCR3) on page 66 |
|||
| Exposure to market risk | |||
| 445 | The amount of market risk requirements calculated for the purposes of own funds requirements for position, FX, |
Table 12: (OV1) provides RWA and capital requirements for each risk category defi ned on page 17 |
|
| commodities risks and for specifi c interest rate risk of securitisation positions. |
Table 78: Market risk regulatory capital requirements on page 79 | ||
| Operational risk | |||
| 446 | Description of approaches used for the calculation of own funds requirements. |
The Group applies STD approach for measuring capital requirements, described in section 1.4. Risk management under Operational Risk on page 4 |
|
| Exposures in equities not included in the trading book | |||
| 447 | (a) | Differentiation of exposures based on their objects, and an overview of accounting and valuation methodologies used. |
Disclosure is excluded on the basis of materiality |
| (b) | The balance sheet and fair value of equities in the banking book and comparison of market price for exchange traded equities. |
Disclosure is excluded on the basis of materiality | |
| (c) | Description and value of exchange traded exposures. | Disclosure is excluded on the basis of materiality | |
| (d) | The cumulative realised gains and losses on the sales and liquidations in the period. |
Disclosure is excluded on the basis of materiality | |
| (e) | Total unrealised gains and losses include in CET1 capital. | Disclosure is excluded on the basis of materiality | |
| Exposure to interest rate risk on positions not included in the trading book | |||
| 448 | (a) | Description of the nature interest rate risk, key assumptions and frequency of measurement. |
Section 5 on Interest rate risk in the banking book on page 82 |
| (b) | Measure of upward and downward rate shocks by currency. | Table 84: Treasury Markets PV01 by currency on page 82 |
| CRR article ref. | Requirement summary | Disclosure | |
|---|---|---|---|
| Exposure to securitisation position | |||
| 449 | (a) | Description of the institution's objectives in relation to securitisation activity |
Section 3.10 Securitisation on page 72 |
| (b) | The nature of other risks including liquidity risk inherent in securitised assets |
Section 3.10 Securitisation on page 72 | |
| (c) | Description of underlying exposures | Section 3.10 Securitisation on page 72 | |
| (d) | The roles played by the institution in the securitisation process | Section 3.10 Securitisation on page 72 | |
| (e) | The extent of the institution's involvement in the roles referred in Article 449(d) above |
Section 3.10 Securitisation on page 72 | |
| (f) | The monitoring of credit and market risk from securitisation exposures |
Section 3.10 Securitisation on page 72 | |
| (g) | The use of hedging and unfunded protection to mitigate the risks of retained securitisation exposures |
Section 3.10 Securitisation on page 72 | |
| (h) | The approaches to calculating securitisation risk-weighted assets | Section 3.10 Securitisation on page 72 | |
| (i) | The types of SSPE that the institution, as sponsor, uses to securitise third-party exposures |
Section 3.10 Securitisation on page 72 including Table 73 that lists securitisation programmes where the Group acts as originator |
|
| (j)(i) | A summary of the institution's accounting policies for securitisation activities, including whether the transactions are treated as sales fi nancing |
Section 3.10 Securitisation on page 72 | |
| (j)(ii) | Gains on sales | Not applicable. The Group originates synthetic transactions where the underlying assets remain on the Group's balance sheet, therefore the issue of gain on sales does not arise |
|
| (j)(iii) | Securitisation valuation methodologies | Section 3.10 Securitisation on page 72 | |
| (j)(iv) | Accounting treatment of synthetic securitisations | Section 3.10 Securitisation on page 72 | |
| (j)(v) | Valuation and regulatory classifi cation of assets awaiting securitisation |
The securitised assets are originated by the Group in its ordinary course of business. Assets awaiting securitisation are not specifi cally identifi ed for reporting purposes and are not subject to a specifi c accounting and prudential policies |
|
| (j)(vi) | Recognition of liabilities for arrangements that could require the institution to provide fi nancial support for securitised assets |
Section 3.10 Securitisation on page 72 | |
| (k) | The use of ECAIs for securitisations exposures | Section 3.10 Securitisation on page 72 | |
| (l) | Where applicable, a description of the Internal Assessment Approach |
Not applicable. The Group does not originate or sponsor asset-backed commercial paper programs (ABCP) |
|
| (m) | An explanation of signifi cant changes to the quantitative disclosures in points (n) to (q) since the last reporting period |
Section 3.10 Securitisation on page 72 | |
| (n)(i) | Separately for the trading and the non-trading book and by exposure type: |
Table 74. Securitisation positions by risk-weight category on page 74 |
|
| The total amount of outstanding exposures securitised by the institution |
|||
| (n)(ii) | Retained securitisation exposures | Table 74. Securitisation positions by risk-weight category on page 74 |
|
| (n)(iii) | Assets awaiting securitisation | See Article 449(j)(v) above | |
| (n)(iv) | For securitised facilities subject to the early amortisation treatment, drawn exposures attributed to the originator's and investors' interests respectively, the aggregate capital requirements incurred by the institution against the originator's interest and the capital requirements incurred by the institution against the investor's shares of drawn balances and undrawn lines |
Table 73. Securitisation programmes (as originator) on page 74 | |
| (n)(v) | Securitisation positions that are deducted from own funds or risk-weighted at 1250% |
Table 74. Securitisation positions by risk-weight category on page 74 |
|
| (n)(vi) | The securitisation activity of the current period, including the | Table 72. Securitisation: ABS purchased or retained on page 72 | |
| amount of exposures securitised and recognised gain or loss on sale |
Table 74. Securitisation positions by risk-weight category on page 74 |
| CRR article ref. | Requirement summary | Disclosure | ||
|---|---|---|---|---|
| 449 | (o)(i) | Securitisation positions retained or purchased and the associated capital requirements |
Table 74. Securitisation positions by risk-weight category on page 74 |
|
| (o)(ii) | Re-securitisation exposures retained or purchased | Not applicable, the Group does not invest in re-securitisation exposures |
||
| (p) | For the non-trading book and regarding exposures securitised by the institution, impaired/past due assets securitised and the losses recognised by the institution during the current period |
Section 3.10 Securitisation sub section Capital Structuring & Distribution Group Securities on page 73 |
||
| (q) | For the trading book, outstanding exposures securitised by the institution and subject to a capital requirement for market risk |
There are no trading book exposures originated by the Group | ||
| (r) | Whether the institution provided implicit support (Article 248(1)) and the impact on own funds |
The Group does not provide implicit support within the terms of Article 248(1) |
||
| Remuneration policy | ||||
| 450 | (1)(a) | Information on the decision-making process used for determining remuneration policy and the number of meetings held during the year by the main body overseeing remuneration. |
2017 Annual Reports and Accounts on pages 83 to 94 | |
| (1)(b) | Explanation of links between pay and performance. | 2017 Annual Reports and Accounts on pages 93 to 94 | ||
| (1)(c) | Key design characteristics of the remuneration system. | 2017 Annual Reports and Accounts on page 94 | ||
| (1)(d) | The ratios between fi xed and variable remuneration. | 2017 Annual Reports and Accounts on page 101 | ||
| (1)(e) | Information on the performance criteria for entitlement to shares, options and variable remuneration entitlements. |
2017 Annual Reports and Accounts on page 94 | ||
| (1)(f) | Description of main parameters and rational for variable components and other non-cash benefi ts. |
2017 Annual Reports and Accounts on pages 93 to 94 | ||
| (1)(g) | Quantitative information on remuneration by business areas. | 2017 Annual Reports and Accounts on page 101 | ||
| (1)(h)(i) | Amounts of fi xed and variable compensation for senior management and staff of signifi cant infl uence and the number of benefi ciaries for the year. |
2017 Annual Reports and Accounts on pages 100 to 102 | ||
| (1)(h)(ii) | The amount of variable compensation broken down by remuneration types. |
See Article 450(1)(h)(i) above | ||
| (1)(h)(iii) | Amounts of outstanding deferred remuneration. | See Article 450(1)(h)(i) above | ||
| (1)(h)(iv) The amounts of deferred remuneration during the year. | See Article 450(1)(h)(i) above | |||
| (1)(h)(v) | Amount of sign-on and severance payment made during the year and the number of benefi ciaries. |
See Article 450(1)(h)(i) above | ||
| (1)(h)(vi) The amount of severance payments awarded during the year and the number of benefi ciaries. |
See Article 450(1)(h)(i) above | |||
| (1)(i) | The number of individuals receiving remuneration over EUR1 million in a fi nancial year by pay bands. |
2017 Annual Reports and Accounts on page 102 | ||
| (1)(j) | On request from the regulator the total remuneration of the management body. |
Provided upon demand, not disclosed publicly | ||
| (2) | Quantitative information to be made available at the level of members of the management body for institutions that are signifi cant in size. |
2017 Annual Reports and Accounts on pages 95 to 97 | ||
| Leverage | ||||
| 451 | (1)(a) | Calculation of leverage ratio and application of transitional | Table 17: UK and CRR Leverage Ratio on page 20 | |
| arrangements. | Table 18: Leverage ratio common disclosure on page 21 | |||
| (1)(b) | Breakdown and reconciliation of total exposure measure to published fi nancial statements. |
Table 17: Summary of reconciliation of accounting assets and leverage exposure on page 20 |
||
| Table 19: Leverage ratio: Split-up of on-balance sheet exposures on page 22 |
||||
| (1)(c) | The amount of de-recognised fi duciary items. | The Group has no fi duciary items | ||
| (1)(d) | Description of the processes used to manage excessive leverage. Section 2.5 Leverage ratio on page 19 | |||
| (1)(e) | Description of factors impacting leverage ratio during the period. | Section 2.5 Leverage ratio on page 19 | ||
| (2) | EBA mandate to issue ITS on common disclosure | Implementing Standard (EU) 2016/200 in 2016 | ||
| Use of the IRB Approach to credit risk | ||||
| 452 | (a) | Details of permission for the use of IRB approach received from authority |
Section 3.3 Internal Ratings Based models on pages 23 to 24 | |
| (b)(i) | Explanation and view of the structure of internal ratings and relation to external ratings |
Table 45: Internal default grade probabilities and mapping to external ratings on page 48 |
||
| (b)(ii) | Explanation of the use of internal estimates other than those used for capital requirements calculation under the IRB approach |
Section 3.6 Risk grade profi le on pages 44 to 46 |
| CRR article ref. | Requirement summary | Disclosure | |
|---|---|---|---|
| 452 | (b)(iii) | The process of managing and recognising credit risk mitigation | Section 3.7 Credit risk mitigation on page 57 |
| (b)(iv) | The control mechanisms for rating systems | Section 3.3 Internal Ratings Based models on pages 23 to 24 | |
| (c)(i) | Description for internal ratings process for central governments and central banks |
Section 3.3 Internal Ratings Based models on page 23 | |
| (c)(ii) | Description for internal ratings process for institutions | See Article 452(c)(i) above | |
| (c)(iii) | Description for internal ratings process for corporates, including SMEs, specialised lending and purchased corporate receivables |
See Article 452(c)(i) above | |
| (c)(iv) | Description for internal ratings process for retail, including SMEs, exposures secured by immovable property and qualifying revolving exposures |
See Article 452(c)(i) above | |
| (c)(v) | Description for internal ratings process for equities | The standardised approach is used for equities | |
| (d) | The exposure values for each of the exposure classes defi ned under IRB approach |
Table 44: IRB – Credit risk exposures by exposure class on page 46 |
|
| (e)(i) | For central governments and central banks, institutions, corporates and equity by obligor grades the total exposure |
Table 46: IRB credit exposure by internal PD grade for Central governments or central banks (CR6) on page 49 |
|
| amounts | Table 47: IRB credit exposure by internal PD grade for Institutions (CR6) on page 50 |
||
| Table 48: IRB credit exposure by internal PD grade for Corporates (CR6) on page 51 |
|||
| Table 49: IRB credit exposure by internal PD grade for Corporates Specialised Lending (CR6) on page 52 |
|||
| Table 50: IRB credit risk exposure by internal PD grade for Corporates SME (CR6) on page 53 |
|||
| (e)(ii) | The exposure weighted average risk weight | See Article 452(e)(i) above | |
| (e)(iii) | For institutions using own estimates of CCF, the RWA, the amount of undrawn commitments, and exposure-weighted average exposure values |
See Article 452(e)(i) above | |
| (f) | For retail exposures either the disclosure of 452(e) or analysis of exposures against EL grades |
Table 51: IRB credit exposure by internal PD grade for retail (CR6) on page 54 |
|
| Table 52: IRB credit exposure by internal PD grade for retail – secured by real estate property (CR6) on page 55 |
|||
| Table 53: IRB credit exposure by internal PD grade for retail – qualifying revolving (CR6) on page 56 |
|||
| Table 54: IRB credit exposure by internal PD grade for retail – SME (CR6) on page 57 |
|||
| (g) | The actual specifi c credit risk adjustments compared to past experience by asset classes |
Table 42: Regulatory expected loss on page 44 | |
| (h) | Description of factors that impacted on loss experience | Section 3.5. Regulatory expected loss vs. impairment charge on page 44 |
|
| (i) | Analysis of estimates against actual outcomes for losses by asset | Table 20: CIC model results on page 25 | |
| classes over a period suffi cient enough to assess the performance of the IRB models |
Table 21: Retail model results on page 25 | ||
| (j)(i) | The exposure-weighted average LGD and PD in percentage for each exposure class by geography |
Table 43: Exposure weighted average PD% and LGD% by geography on page 45 |
|
| (j)(ii) | For institutions that do not use own estimates of LGD, the weighted-average PD in percentage for each exposure class by geography |
Table 43: Exposure weighted average PD% and LGD% by geography on page 45 |
|
| Use of credit risk mitigation techniques | |||
| 453 | (a) | Description of policies and processes for the use of on- and off-balance sheet netting. |
Section 3.7. Credit risk mitigation on page 57 |
| (b) | Description of policies and processes for collateral valuation and management. |
See Article 453(a) above | |
| (c) | Description of the main types of collaterals taken by institutions. | See Article 453(a) above | |
| (d) | Description of the main type of guarantor credit derivative counterparty and their credit worthiness. |
See Article 453(a) above | |
| (e) | Information on the market or credit risk concentrations within credit risk mitigation. |
See Article 453(a) above |
| CRR article ref. | Requirement summary | Disclosure | |
|---|---|---|---|
| 453 | (f) | Total exposure value by eligible fi nancial and other eligible collateral for each asset class under the Standardised or IRB approaches, but not providing own estimates of LGD or conversation factors. |
Table 56: Effect of guarantees and collateral on page 58 |
| (g) | Total exposure value covered by guarantees or credit derivatives by all asset classes under the Standardised or IRB approaches. |
Table 56: Effect of guarantees and collateral on page 58 | |
| Use of the Advanced Measurement Approaches to operational risk | |||
| 454 | Description of risk transfer mechanisms for mitigating operational risk measured under the advanced measurement approach. |
The Group does not hold a permission to use the advanced measurement approach for operational risk |
|
| Use of Internal Market Risk Models | |||
| 455 | (a)(i) | Explanation of characteristics of the models used by sub portfolio. |
Section 4 under headings 'Regulatory VaR' and 'Regulatory VaR vs. Management VaR' on page 76 |
| The Group does not have CRM, IMA and IRC approvals. The related disclosure requirements are not applicable |
|||
| (a)(ii) | Description of the methodologies used and the risks measured through the use of internal models |
The Group does not have IMA approval for incremental default and migration risk for correlation trading |
|
| (a)(iii) | Description of stress testing applied by sub-portfolio | Section 4 under heading 'Stressed VaR' on page 77 | |
| (a)(iv) | Description of the approaches used for backtesting and valuating the accuracy of internal models |
Section 4 under heading 'Backtesting' on page 77 | |
| (b) | The scope of permission received | Section 4 under the heading 'Regulatory VaR' and "Regulatory VaR vs. management VaR2' on page 76 |
|
| (c) | Description of methodologies adopted for and the extent of compliance with the defi nitions of trading book and requirements of prudent valuation in CRR Article 104 and 105 |
Section 4 under the heading 'Trading book' and 'Valuation framework' on page 76 |
|
| (d)(i) | The highest, lowest and the mean of daily VaR over the reporting period at period end |
Table 80 (MR3) in row VaR (10 day 99%) on page 80 | |
| (d)(ii) | The highest, lowest and the mean of the stressed VaR over the reporting period at period end |
Table 80 (MR3) in row Stressed VaR (10 day 99%) on page 80 | |
| (d)(iii) | The highest, lowest and the mean of the risk numbers of correlation trading over the reporting period at period end |
Table 80 (MR3) in row incremental risk capital charge (99.9%) on page 80 |
|
| The Group does not have IMA approval for incremental default and migration risk for correlation trading, therefore, the rows of incremental risk capital charge and comprehensive risk capital charge are reported as zero |
|||
| (e) | Elements of own funds requirements when using internal models | Table 81 (MR2-A) on page 80 provides the required breakdown | |
| (f) | The weighted average liquidity horizon covered by internal models for incremental default, migration and correlation risks |
The Group has no model permissions for specifi c rate and comprehensive risk measure |
|
| (g) | Comparison of the daily end of day VaR to the value by the end of next business day |
Backtesting overshooting are shown in tables 82 and 83 (MR4) on page 81 |
Summary of differences
Summary of differences between Pillar 3 Disclosures and the Risk and capital review section of the Annual Report
The Group's Pillar 3 Disclosures for 31 December 2017 provide details from a regulatory perspective on certain aspects of credit risk, market risk and operational risk. The quantitative disclosures in the Pillar 3 Disclosures will not, however, be directly comparable to those in the Risk and capital review section of the Annual Report and Accounts as they are largely based on internally modelled risk metrics such as PD, LGD and EAD under Basel framework, whereas the quantitative disclosures in the Risk review are based on IFRS. EAD differs from the IFRS exposure primarily due to the inclusion of undrawn credit lines and off-balance sheet commitments. In addition, a number of the credit risk disclosures within the Pillar 3 Disclosures are only provided for the internal ratings based portfolio.
| Topic | Annual Report | Pillar 3 Disclosures |
|---|---|---|
| Basis of requirements | ¼ The Group's Annual Report is prepared in accordance with the requirements of IFRS as endorsed by the EU, the UK Companies Act 2006, and the UK, Hong Kong and India Listing rules |
¼ The Group's Pillar 3 Disclosures, provides details on risk from a regulatory perspective to fulfi l Basel III/CRD IV rule requirements which have been implemented in the UK by the Prudential Regulatory Authority (PRA) via EU legislation, Capital Requirements Regulation (CRR), Part Eight |
| Basis of preparation | ¼ The quantitative credit risk disclosures in the Risk review are based on IFRS ¼ Loans and advances are analysed between the four client segments of Corporate & Institutional, Commercial, Private and Retail Banking (split by industry classifi cation codes) ¼ Market risk disclosures are presented using VaR methodology for the trading and non- trading books |
¼ Provides details from a regulatory perspective on certain aspects of credit risk, market risk and operational risk. For credit risk this is largely based on internally modeled risk metrics such as PD, LGD and EAD under Basel rules ¼ Loans and advances are analysed between those that are internal ratings basis (IRB) and standardised, split by standard CRR categories ¼ Market risk and operational risk disclosures are based on the capital required |
| Coverage | ¼ All external assets which have an exposure to credit risk ¼ Market risk exposure is the trading and non-trading books ¼ Liquidity risk analysis of contractual maturities, liquid assets and encumbered assets |
¼ The credit risk disclosures are provided for approved portfolios as per the IRB approach and remaining portfolios are assessed as per Standardised rules as prescribed in the CRR ¼ The PRA has granted the Group permission to use the internal model approach (IMA) covering the majority of market risk in the trading book. Positions outside the IMA scope are assessed according to standard CRR rules ¼ The Standardised Approach consistent with the CRR requirements is used to assess its regulatory operational risk capital requirement |
| Credit rating and measurement |
¼ Overview of credit risk management credit grading and the use of IRB models is on page 166 ¼ Maximum exposure to credit risk set out on page 124 ¼ Internal credit grading analysis provided by business segment for both performing and non-performing loans and advances on page 125 ¼ External credit grading analysis for unimpaired debt securities and treasury bills is set out on page 144 |
¼ Details of IRB and Standardised approach to credit risk is set out on pages 23 to 24 ¼ For the IRB portfolio, page 48 provides an indicative mapping of the Group's credit grades in relation to Standard & Poor's credit ratings. ¼ Minimum regulatory capital requirements for credit risk on page 17 ¼ Credit grade analysis provided for the IRB portfolio only. EAD within the IRB portfolio after CRM, Undrawn commitments, exposure weighted average LGD and weighted average risk-weight internal credit grade on pages 49 to 57 and 67 to 71 ¼ Credit quality step analysis for Standardised portfolio is provided on page 60 to 62 |
Summary of cross references between Pillar 3 Disclosures and the Risk and capital review section of the Annual Report continued
| Topic | Annual Report | Pillar 3 Disclosures |
|---|---|---|
| Credit risk mitigation | ¼ CRM approach is set out on page 165 ¼ Overview of collateral held and other credit risk mitigants provided on page 138. Quantitative overview of other risk mitigants including – Securitisations, where the Group transfers the rights to collect principal and interest on client loan assets to third parties – Master netting agreements, CSAs and cash collateral for derivatives |
¼ Provides details on CRM from a regulatory perspective by providing EAD after CRM by IRB exposure class. Explanation is given on what constitutes eligible collateral including explanations of funded and unfunded protection. The main type of collateral for the Group's Standardised portfolio is also disclosed. Please refer to pages 57 to 59 ¼ Extensive disclosures on securitisation including notional and carrying amounts, details of securitisation programmes where the Group is an originator, the accounting and governance of securitisation activities and retained exposures and carrying value by risk weight band and by geography. Please refer to pages 72 to 75 |
| ¼ EAD for items subject to CCR risk pre and post credit mitigation is disclosed. The products that are covered under CCR include repo-style and derivative transactions. Please refer to pages 63 to 71 |
||
| Loan portfolio | ¼ Group overview of the loan portfolio provided by business and by region on pages 143, maturity analysis provided on page 142 |
¼ EAD by region, split between IRB and Standardised portfolios page 35 and by industry types on page 37 ¼ Maturity of EAD, split by IRB and Standardised on page 39 |
| Problem credit management and provisioning |
¼ Provisioning approach set out on page 167 and defi nition of non-performing loans on page 125 ¼ Disclosure of loans neither past due nor impaired, loans past due but not impaired, individually impaired loans and portfolio impairment charge by region can be found of page 130 ¼ Disclosures on non-performing loans can be found on page 126 to 129 |
¼ Disclosures around the expected loss model used for regulatory purposes and a tabular disclosure showing the regulatory expected loss against the net individual impairment charge. Please refer to page 44 |
| Market risk | ¼ Details of the VaR methodology, and VAR (trading and non trading) is disclosed by risk type on pages 147 ¼ Details on Group Treasury's market risk, including a table showing a parallel shift in the yield curves, on page 148 |
¼ Provides details of the internal model approvals, such as the CAD2 granted by the PRA and the extension of the CAD2 scope to include coal market risk ¼ Market risk capital requirements for the trading book disclosed by risk type on page 79 |
CONTACT INFORMATION
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Standard Chartered Group 1 Basinghall Avenue London, EC2V 5DD United Kingdom
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