Does herding behavior reveal skill? An analysis of mutual fund performance
Hao Jiang and
Michela Verardo
LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library
Abstract:
This paper finds that fund herding, defined as the tendency of a mutual fund to follow past aggregate institutional trades, is an important predictor of mutual fund performance. Examining actively managed U.S. equity mutual funds over the period 1990-2009, we find that funds with a higher herding tendency achieve lower future returns. The performance gap between herding and antiherding funds is persistent over various horizons and is more pronounced in periods of greater investment opportunities in the active management industry. We show that fund herding is negatively correlated with recently developed measures of mutual fund skill and provides distinct information for the predictability of mutual fund performance. Overall, our results suggest that fund herding reveals information about the cross-sectional distribution of skill in the mutual fund industry.
Keywords: mutual funds; performance; herding; imitation; alpha (search for similar items in EconPapers)
JEL-codes: G11 G20 G23 (search for similar items in EconPapers)
Pages: 50 pages
Date: 2013-03-02
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://eprints.lse.ac.uk/119034/ Open access version. (application/pdf)
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:ehl:lserod:119034
Access Statistics for this paper
More papers in LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library LSE Library Portugal Street London, WC2A 2HD, U.K.. Contact information at EDIRC.
Bibliographic data for series maintained by LSERO Manager (lseresearchonline@lse.ac.uk).