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  4. Evaluating, Understanding, and Predicting Mutual Fund Performance Worldwide
Project Title
Evaluating, Understanding, and Predicting Mutual Fund Performance Worldwide
Internal ID
50418
Status
Ongoing
Investigators
Müller, Sebastian
Identifiants
https://libra.unine.ch/handle/20.500.14713/2334
-
https://libra.unine.ch/handle/123456789/2220
Keywords
Mutual funds performance machine learning
Description
In this research project we empirically study the performance and trading behavior of actively-managed mutual funds on a global scale using various econometric techniques. Specifically, we ask the following research questions: 1. Do mutual funds outperform when it matters most to investors? 2. How do mutual funds trade cross-sectional stock market anomalies? 3. Are machine learning techniques helpful to predict future mutual fund performance?
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