Accelerating Doctoral Research at ESCP Business School
The Challenge For PhD candidates in the Finance Department at ESCP Business School, the quality of empirical data defines the success of their dissertation. A doctoral researcher investigating the causal link between non-financial disclosures and stock volatility faced a critical bottleneck: the "Infrastructure Gap." While the university offered access to standard terminals, extracting bulk historical text for a longitudinal study across the CAC 40 and DAX 40 was technically restricted. The researcher risked spending the first year of their doctorate building scrapers rather than developing their econometric models.
The Solution FinancialReports provided a Bespoke Research Export designed for high-level academic inquiry.
- Longitudinal Scope: We filtered our database to extract a precise 5-year historical window of filings for specific indices, ensuring the dataset was free of survivorship bias—a critical requirement for peer-reviewed research.
- Econometrics-Ready: We delivered the data in a flat, structured CSV format. This allowed the researcher to load the corpus directly into Stata and R, bypassing the need for complex pre-processing or OCR cleanup.
- Rapid Provisioning: Recognizing the time-sensitive nature of academic publishing, the custom dataset was generated and delivered via a secure link within 24 hours.
The Result The researcher successfully integrated the dataset into their dissertation, achieving a level of empirical depth that would have been impossible with manual collection. By eliminating the data engineering burden, they could dedicate their time to statistical methodology and theoretical contribution, significantly accelerating their path to publication.
"The difference between a good paper and a top-tier publication is often the granularity of the data. FinancialReports gave me immediate access to a historical dataset that would have taken a year to collect manually. I could move straight to regression analysis on day one."
