Prof. Dr. Florian Weigert

Florian Weigert is a Scientific Advisor Fund Selection at Remaco Asset Management AG. He is a Full Professor and Chair of Financial Risk Management at the University of Neuchâtel, Switzerland. His research projects examine the determinants of the cross-sectional distribution of asset returns, performance measurement of hedge funds and mutual funds, the financial implications of behavioral biases among investors, and the use of artificial intelligence in portfolio strategies. Florian earned his PhD in Finance from the University of Mannheim, graduating summa cum laude. Prior to his position in Neuchâtel, he served as an Assistant Professor at the University of St. Gallen, Switzerland, and as a Visiting Scholar at New York University, Georgetown University, Georgia State University, and the University of Texas at Austin (all in the USA). He is a Research Fellow at the Centre for Financial Research at the University of Cologne and a Visiting Lecturer at the Universities of St. Gallen and Mannheim.

Florian’s research has been presented at leading academic conferences, published in top-tier finance journals such as the Journal of Finance, the Review of Financial Studies, and the Journal of Financial Economics, and has received Best Paper Awards from the German Alternative Investment Association (Bundesverband Alternative Investments) and the Financial Management Association. He is a Co-Editor of the academic journal Financial Markets and Portfolio Management of the Swiss Society for Financial Research and serves on the board of the Alpine Finance Summit, an annual academic conference bringing together the Alpine countries of Germany, Liechtenstein, Austria, and Switzerland.

In his role as Scientific Advisor Fund Selection, he develops a systematic and data-driven approach for Remaco to select actively managed equity funds. The objective is to quantitatively integrate performance, risk, and fund characteristics in order to regularly and transparently forecast fund returns. The approach is transparent, replicable, and bridges academic insights with practical application.