معرفی
Christophe Pérignon is a Professor and Associate Dean for Research at HEC Paris, a leading business school in France. He is affiliated with the Finance Department and has established himself as a prominent scholar in financial risk management, systemic risk, and computational reproducibility in finance. His work bridges academic research with practical applications in banking regulation and risk management.
His research spans several critical areas in modern finance:
- Advanced risk management methodologies, particularly Value-at-Risk (VaR) modeling and validation
- Systemic risk measurement and financial regulation frameworks
- Computational reproducibility in financial research through multi-analyst studies
- Machine learning applications in banking and credit scoring
- Ethical considerations in algorithmic finance
Professor Pérignon's recent work demonstrates a significant shift toward examining the reproducibility crisis in financial research and the integration of machine learning techniques into traditional risk management frameworks. His influential paper "Nonstandard Errors" in the Journal of Finance (2024) examines how different research teams approach the same financial questions, highlighting methodological challenges in the field. He has also pioneered tools like "The Risk Map" for validating risk models, which has practical applications for financial institutions.
His scholarly impact is substantial, with over 38 published papers that have collectively received more than 50,000 downloads and 499 citations on SSRN, placing him among the top researchers in finance. His collaborative work spans multiple international institutions, reflecting the global nature of financial research and regulation.
As Associate Dean for Research at HEC Paris, Professor Pérignon plays a key leadership role in shaping the research agenda of one of Europe's premier business schools. His work continues to influence both academic discourse and practical risk management approaches in the financial industry worldwide.
