معرفی
Gaëlle Le Fol is a Professor of Finance at the University of Paris - Dauphine, where she has directed the Master 203 - Financial Markets program for over 12 years (2011-2024). She serves as head of the QTEM network and is responsible for the chair "Development of quantitative management" / QMI (Quantitative Management Initiative) of the Fondation du Risque. Her research activities are centered at DRM (Dauphine Research in Management) - Finance and CREST (Centre for Research in Economics and Statistics).
Her research spans several key areas in financial economics with particular emphasis on financial markets microstructure, empirical asset pricing, and econometrics of finance. Recent work investigates investor behavior and its impact on trading characteristics, market liquidity, contagion, systemic risk, risk premia, high-frequency trading strategies, and the impact of ESG factors on security returns. She has developed expertise in analyzing large datasets and applying advanced econometric techniques to financial market data.
Analysis of her recent publications reveals a strong trend toward studying ESG impacts on financial markets, high-frequency trading dynamics, and liquidity measurement. Her work increasingly incorporates big data methodologies and focuses on understanding market microstructure through advanced statistical modeling. There's a clear progression from traditional asset pricing research toward more contemporary issues like sustainable finance and quantitative management approaches.
Professor Le Fol teaches econometrics, econometrics of finance, and electronic markets at the University of Paris - Dauphine. While specific grant information isn't detailed in the provided text, her extensive publication record and leadership roles suggest significant research funding support. Her work with the QTEM network indicates involvement in international academic collaborations and educational initiatives.
She is affiliated with several important research entities including DRM (Dauphine Research in Management) - Finance, CREST (Centre for Research in Economics and Statistics), and the QMI (Quantitative Management Initiative) of the Fondation du Risque. These affiliations provide her with access to extensive financial datasets and collaborative opportunities with leading researchers in quantitative finance.
