Christophe Pérignon

Professor of Finance
Associate Dean for Research

Email: perignon@hec.fr
www.hec.fr/perignon

Biography

Christophe Pérignon is Professor of Finance and Associate Dean for Research at HEC Paris, France. He is also the co-holder of the ACPR (Banque de France) Chair in Regulation and Systemic Risk. He holds a Ph.D. in Finance from the Swiss Finance Institute and has been a Post-Doctoral Fellow at the University of California at Los Angeles (UCLA). Prior to joining HEC Paris, he was an Assistant Professor of Finance at Simon Fraser University in Vancouver, Canada. His areas of research and teaching interests are in derivatives markets, financial risk management (measurement, model validation, regulation), and AI/machine learning. Christophe published a dozen of articles in top finance journals (Journal of Finance, Journal of Financial Economics, Review of Financial Studies, Journal of Business, Journal of Financial and Quantitative Analysis, and Review of Finance) or in general-science journals (Science). In 2014, he received the Europlace Award for the Best Young Researcher in Finance. As an open-science evangelist, he contributed to develop innovative tools to help fellow researchers to make their research easier to use and to reproduce: in 2012, he co-founded RunMyCode.org, an academic website allowing researchers to share the code and data associated with their scientific papers; in 2019, he launched cascad, the first Certification Agency for Scientific Code and Data.

Publications

What if Dividends Were Tax-Exempt? Evidence from a Natural Experiment NEW
Review of Financial Studies, forthcoming (with D. Isakov and J.P. Weisskopf)

The Private Production of Safe assets 
Journal of Finance
, 2021 (with M. Kacperczyk and G. Vuillemey)

Certify Reproducibility with Confidential Data
Science
, 2019 (with K. Gadouche, C. Hurlin, R. Silberman, and E. Debonnel)

Machine learning et nouvelles sources de données pour le scoring de crédit
Revue d'Economie Financière
, 2019 (with C. Hurlin)

The Counterparty Risk Exposure of ETF Investors
Journal of Banking and Finance
, 2019 (with C. Hurlin, G. Iseli, and S. Yeung)

Pitfalls in Systemic-Risk Scoring
Journal of Financial Intermediation
, 2019 (with S. Benoit and C. Hurlin)

Wholesale Funding Dry-Ups
Journal of Finance, 2018 (with D. Thesmar and G. Vuillemey)

The Political Economy of Financial Innovation: Evidence from Local Governments
Review of Financial Studies
, 2017 (with B. Vallée)

CoMargin
Journal of Financial and Quantitative Analysis,
2017 (with J. Cruz Lopez, J. Harris, and C. Hurlin)

Where the Risks Lie: A Survey on Systemic Risk
Review of Finance, 2017 (with S. Benoit, J.E. Colliard, and C. Hurlin)

Implied Risk Exposures
Review of Finance
, 2015 (with S. Benoit and C. Hurlin)

The Risk Map: A New Tool for Validating Risk Models
Journal of Banking and Finance
, 2013 (with G. Colletaz and C. Hurlin)

Derivatives Clearing, Default Risk, and Insurance
Journal of Risk and Insurance
, 2013 (with R. Jones)

The Pernicious Effects of Contaminated Data in Risk Management
Journal of Banking and Finance
, 2011 (with L. Frésard and A. Wilhelmsson)

The Level and Quality of Value-at-Risk Disclosure by Commercial Banks
Journal of Banking and Finance
, 2010 (with D. Smith)

Diversification and Value-at-Risk
Journal of Banking and Finance
, 2010 (with D. Smith)

Commonality in Liquidity: A Global Perspective
Journal of Financial and Quantitative Analysis
, 2009 (with P. Brockman and D. Chung)

How Common are Common Return Factors across Nyse and Nasdaq
Journal of Financial Economics, 2008 (with A. Goyal and C. Villa)

A New Approach to Comparing VaR Estimation Methods
Journal of Derivatives
, 2008 (with D. Smith)

Do Banks Overstate their Value-at-Risk?
Journal of Banking and Finance
, 2008 (with Z. Deng and Z. Wang)

Repurchasing Shares on a Second Trading Line
Review of Finance
, 2007 (with D. Chung and D. Isakov)

Testing the Monotonicity Property of Option Prices
Journal of Derivatives
, 2006

Sources of Time Variation in the Covariance Matrix of Interest Rates
Journal of Business
, 2006 (with C. Villa)

Working Papers

The Fairness of Credit Scoring Models (with C. Hurlin and Sebastien Saurin) Updated May 2021

In credit markets, screening algorithms discriminate between good-type and bad-type borrowers. This is their raison d’être. However, by doing so, they also often discriminate between individuals sharing a protected attribute (e.g. gender, age, race) and the rest of the population. In this paper, we show how to test (1) whether there exists a statistical significant difference in terms of rejection rates or interest rates, called lack of fairness, between protected and unprotected groups and (2) whether this difference is only due to credit worthiness. When condition (2) is not met, the screening algorithm does not comply with the fair-lending principle and can be qualified as illegal. Our framework provides guidance on how algorithmic fairness can be monitored by lenders, controlled by their regulators, and improved for the benefit of protected groups.

The Economics of Research Reproducibility (with J.-E. Colliard and C. Hurlin) Updated July 2021

Empirical evidence documents a relatively low level of research reproducibility in economics. In this paper, we investigate why this is the case and what can be done to move out of this low-reproducibility equilibrium. We study the supply and demand for research reproducibility, provide empirical evidence on authors' preferences for reproducibility, and estimate the cost of verifying reproducibility. We theoretically show that competition between journals to attract authors leads to a suboptimally low level of reproducibility. Leading journals with sufficient market power can set higher reproducibility standards, which is consistent with recent changes in data availability policies.

Reports

Reproducibility of scientific results in the EU. Publication Office of the EU. December 2020.

AuthorsBaker, Lee;  Lusoli, Wainer;  Jaśko, Katarzyna;  Parry, Vivienne;  Pérignon, Christophe;  Errington, Timothy;  Cristea, Ioana Alina;  Winchester, Catherine;  MacCallum, Catriona;  Šimko, Tibor

Work in Progress

Interpreting Black-Box Machine-Learning Models

Research Reproducibility

Book

Marchés Financiers:
Gestion de Portefeuille et des Risques
6e Edition, Dunod (2014)
Bertrand Jacquillat, Bruno Solnik & Christophe Pérignon

Order Here

Press Coverage

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