Mutual fund performance and flow-performance relationship under ambiguity

Ariel Gu, Hong Il Yoo

Research output: Contribution to journalArticlepeer-review

Abstract

Since the exact probability distribution of asset returns is often unknown, the type of uncertainty affecting financial assets may be better characterized as ambiguity rather than risk. Using data from the U.S. mutual fund market, we examine the relationships between mutual funds’ ambiguity exposure, risk-adjusted performance, and investment flows. We introduce a novel measure of ambiguity exposure based on the smooth ambiguity model, which provides insight into how funds are priced in the presence of ambiguity. We find that risk-adjusted fund returns include a positive premium that compensates for greater ambiguity exposure in the fund’s asset holdings. The flow analysis, however, suggests that fund investors pursue positive risk-adjusted returns overall, regardless of whether seemingly superior returns are driven by the ambiguity premium. This behavior indicates that fund investors are primarily attracted to performance outcomes and less concerned with whether these reflect managerial expertise or increased ambiguity exposure.
Original languageEnglish
Article number101655
JournalJournal of Empirical Finance
Volume84
Early online date10 Sept 2025
DOIs
Publication statusPublished - Dec 2025

Keywords

  • Beta anomaly
  • Mutual fund
  • Prospect theory
  • Smooth ambiguity

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