Loughborough University
Browse

Mutual fund performance and flow-performance relationship under ambiguity

Download (1.4 MB)
journal contribution
posted on 2025-09-18, 09:42 authored by Ariel Gu, Hong Il YooHong Il Yoo
<p dir="ltr">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.</p>

History

School

  • Loughborough Business School

Published in

Journal of Empirical Finance

Volume

84

Publisher

Elsevier B.V.

Version

  • VoR (Version of Record)

Rights holder

© The Authors

Publisher statement

This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

Acceptance date

2025-08-29

Publication date

2025-09-10

Copyright date

2025

ISSN

0927-5398

eISSN

1879-1727

Language

  • en

Depositor

Prof Hong Il Yoo. Deposit date: 30 August 2025

Article number

101655

Usage metrics

    Loughborough Publications

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC