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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Financial Managementarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Financial Management
Article . 2021 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
SSRN Electronic Journal
Article . 2012 . Peer-reviewed
Data sources: Crossref
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Investor Learning and Mutual Fund Flows

Authors: Jennifer Huang; Kelsey D. Wei; Hong Yan;

Investor Learning and Mutual Fund Flows

Abstract

AbstractThis 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.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
84
Top 1%
Top 10%
Top 10%
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