Fueling Quantitative Research at Imperial College London
The Challenge At Imperial College London, a leading hub for quantitative finance and economic research, PhD candidates often face a significant hurdle before their work even begins: data acquisition. For a major longitudinal study on European corporate performance, a researcher needed complete historical coverage of Annual and Quarterly reports across multiple jurisdictions. The alternative—manually sourcing thousands of PDFs from fragmented investor relations pages—would have added months of "dead time" to the project, delaying critical analysis and peer review.
The Solution FinancialReports stepped in to provide a curated bulk export of the required filings.
- Complete History: We delivered a comprehensive dataset covering years of Annual and Quarterly reports, ensuring no gaps in the time-series data.
- Standardized Formats: Regardless of the original filing country or language, the data was delivered in a unified structure, ready for immediate ingestion into statistical analysis tools (R/Python).
- Ad-Hoc Delivery: Understanding the researcher's specific timeline, we bypassed standard API integration to provide a direct, high-volume data dump that met their exact specifications.
The Result By eliminating the data collection burden, the researcher was able to move directly to hypothesis testing and modeling. FinancialReports effectively removed the "infrastructure tax" from their PhD timeline, allowing them to focus purely on generating novel economic insights rather than building web scrapers.
"The biggest challenge in empirical finance is often just getting the data in one place. FinancialReports delivered a clean, comprehensive export that saved me months of manual collection work. I could start running my models on day one."
