My research interests span a variety of areas in corporate finance. I have written papers on corporate governance (with an emphasis on boards of directors), private equity and D&O insurance.
Some of my current research revolves around the use of machine learning techniques as a tool to open up the black box of human decision making in economic contexts.
Publications
Selecting Directors Using Machine Learning
Isil Erel, Léa H Stern, Chenhao Tan, Michael S Weisbach
The Review of Financial Studies, vol. 34, 2021 Apr, pp. 3226-3264
D&O insurance and IPO performance: What can we learn from insurers?
M. Martin Boyer, Léa H. Stern
Journal of Financial Intermediation, vol. 23, 2014, pp. 504-540
Pay for Performance from Future Fund Flows: The Case of Private Equity
Ji-Woong Chung, Berk A. Sensoy, Léa Stern, Michael S. Weisbach
The Review of Financial Studies, vol. 25, 2012 Oct, pp. 3259-3304
Is Corporate Governance Risk Valued? Evidence From Directors’ and Officers’ Insurance
Lea Stern, Martin Boyer
Journal of Corporate Finance, vol. 18, 2010 Feb