Redefining Risk-Adjusted Returns of PE Funds through Advanced Analytics

Advisor: Dr. Sara Boni

Type: Bachelor’s or Master’s Thesis
Start: May/Mid June 2025

 

Overview

• Previous literature suggests various ways to compute risk-adjusted Private Equite funds returns
• However, recent data analytics methodologies offer ways to produce alternative measures.
• The goal would be to review the literature that already existts as well as implement the new measure to compute PE funds returns.

Requirements

• Interest in quantitative finance and private markets
• Interest in empirical work
• Special dedication to coding in Python
• Attention to detail

Literature

Gupta, A. and Van Nieuwerburgh, S. (2021), Valuing Private Equity Investments Strip by Strip. The Journal of Finance, 76: 3255-3307. https://doi.org/10.1111/jofi.13073

Brown, G. W., Ghysels, E., Gredil, O. R., (2023), Nowcasting Net Asset Values: The Case of Private Equity, The Review of Financial Studies, 36(3): 945–986, https://doi.org/10.1093/rfs/hhac045

Contact & Application

If you are interested in writing your thesis on this topic, please indicate this in your application. Please note that this topic can be expanded and/or taken in other directions depending on the student's own interests and ideas.