Prof. Dr. Florian Weigert

Academic Career and Research Areas

Prof. Weigert's (*1981) field of research is in the area of empirical asset pricing, the analysis of mutual & hedge funds, behavioral finance, and financial technology. He is particularly interested in investigating how artificial intelligence shapes investment management.

Prof. Weigert is Full Professor and Chair of Digital Finance at the Technical University of Munich, Germany. He obtained his Ph.D. in Finance (summa cum laude) from the University of Mannheim. Prior to joining TUM School of Management, he served as Full Professor of Financial Risk Management at the University of Neuchâtel (Switzerland), Assistant Professor at the University of St. Gallen (Switzerland) and as a visiting scholar at several leading US universities (such as New York University and Georgetown University).

Awards

• SNF Grant for the project: "Measuring, Understanding, and Predicting Mutual Fund Performance Worldwide” (2021)
• Innosuisse Grant for the project “Fund Manager Selection Using Machine Learning” (2022)
• Best Paper Award from the Bundesverband Alternative Investments (2025 and 2017)
• Best Paper Award from the FMA Consortium (2023)
• Best Paper Award from the journal "Financial Markets and Portfolio Management" (2016)