{"title":"Mutual fund performance and flow-performance relationship under ambiguity","authors":"Ariel Gu , Hong Il Yoo","doi":"10.1016/j.jempfin.2025.101655","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":15704,"journal":{"name":"Journal of Empirical Finance","volume":"84 ","pages":"Article 101655"},"PeriodicalIF":2.4000,"publicationDate":"2025-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Empirical Finance","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0927539825000775","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍:
The Journal of Empirical Finance is a financial economics journal whose aim is to publish high quality articles in empirical finance. Empirical finance is interpreted broadly to include any type of empirical work in financial economics, financial econometrics, and also theoretical work with clear empirical implications, even when there is no empirical analysis. The Journal welcomes articles in all fields of finance, such as asset pricing, corporate finance, financial econometrics, banking, international finance, microstructure, behavioural finance, etc. The Editorial Team is willing to take risks on innovative research, controversial papers, and unusual approaches. We are also particularly interested in work produced by young scholars. The composition of the editorial board reflects such goals.