Sabrina Buti


Sabrina Buti is a Professor of Finance at Paris Dauphine University since 2016. Before joining Dauphine, she was an Assistant Professor of Finance at the Joseph L. Rotman School of Management, University of Toronto. She obtained her PhD in Economics from Toulouse University in 2007. She was a Visiting Fellow at the Swedish Institute for Financial Research (SIFR) in 2006. Her research is focused on market microstructure and in particular on the optimal design and regulation of stock exchanges.  She has been recently working at issues related to market transparency and to the growing magnitude of dark trading.

Jérôme Dugast

Jérôme Dugast is Associate Professor of Finance at Université Paris-Dauphine since 2018. Jérôme graduated from Ecole Polytechnique in 2008. He also holds the ENSAE Diploma and a Master degree in Economics from the Paris School in Economics. Jérôme obtained his PhD in Finance from HEC Paris in 2013. Before joining Dauphine, he worked for Banque de France as a Research Economist, and then at the Luxembourg School of Finance, University of Luxembourg, as a Research Associate. His research focuses on financial market microstructure, information technologies in financial markets, and more generally on the effect of financial frictions on financial markets.

Zoran Filipovic

Assitant professor

Topics of research and teaching: M&A, Private Equity & Venture Capital, Financial Econometrics, Corporate Finance, Behavioral Finance, Textual Analysis

Edith Ginglinger

Edith Ginglinger is Professor of Finance and Vice President “Finance and Financial Sustainability” at Université Paris-Dauphine. Her teaching and research are in the fields of corporate finance and corporate governance. She is the author of several books, as well as numerous articles in finance journals, in particular Journal of Financial Economics, Review of Finance, Journal of Corporate Finance, Journal of Banking and Finance, International Review of Law and Economics. She co-directed the FBF-Dauphine-HEC Chair in Corporate Finance and was a member of the AMF’s Scientific Advisory Board. She chaired the jury of the French National Agrégation Competition for the recruitment of university professors in Business in 2015. She was Vice-Dean of Research at PSL in 2016-2017, and is currently a member of PSL’s Research Council and Academic Council.

Gaëlle Le Fol

Gaëlle Le Fol is Professor of Finance at Université Paris – Dauphine where she heads the Master 203 – “Financial Markets” ( She is also Resarch Fellow at the CREST (Centre de Recherche en Economie et Statistique) and scientific director of the FdR Quantitative Management Initiative ( Her research interests are in financial market microstructure and financial econometrics. Her recent research has included investors behaviors and their impact on the trading characteristics, market liquidity, contagion and systemic risk as well as high frequency algorithmic trading. She teaches financial econometrics and electronic markets.  

Tamara Nefedova

Tamara Nefedova is an Assistant Professor of Finance at the Université Paris-Dauphine. She holds a PhD in Finance from the Swiss Finance Institute. Tamara  presented her research work at major finance conferences, like American Finance Association and European Finance Association. Her research was picked up by Reuters and Bloomberg News.


Her research interests are empirical corporate finance and capital markets. She mainly focuses on controversial trading practices and conflicts of interests in mutual fund industry and brokerage business. 

Fabrice Riva

Fabrice Riva is a professor of Finance at Université Paris-Dauphine and head of the Master programme “Finance d’Entreprise et Ingénierie Financière” (Corporate Finance and Financial Engineering). His research focuses on market microstructure and asset pricing. He has published several articles in peer-reviewed journals on issues suvh as market liquidity and ETFs (Exchange Traded Funds). He is also the author of various books and book chapters, including the reference textbook “Applications Financières sous Excel en Visual Basic” (Financial Modeling using Excel and VBA)