Investor learning and mutual fund flows

Jennifer Huang, Kelsey D. Wei and Hong Yan

Financial Management, 2022, vol. 51, issue 3, 739-765

Abstract: This paper investigates how volatility of performance affects the sensitivity of mutual fund flows to past performance, and examines how investor learning may contribute to this effect. We illustrate theoretically that when sophisticated investors learn from past fund performance to form their posterior expectations of managerial ability, the flow‐performance sensitivity should be weaker for funds with more volatile past performance. Moreover, the dampening effect of performance volatility on the flow‐performance sensitivity should be stronger for funds attracting more sophisticated investors. We provide supporting evidence for this investor learning hypothesis using mutual fund flows and demonstrate variations in the volatility dampening effect across funds with differing levels of sophistication among investors, such as load versus no‐load, high‐expense versus low‐expense, retail versus institutional, and star versus nonstar funds.

Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

Downloads: (external link)
https://doi.org/10.1111/fima.12378

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bla:finmgt:v:51:y:2022:i:3:p:739-765

Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0046-3892

Access Statistics for this article

Financial Management is currently edited by William G. Christie

More articles in Financial Management from Financial Management Association International Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().