Journal article

Measuring mutual fund herding - A structural approach


Authors listFrey, Stefan; Herbst, Patrick; Walter, Andreas

Publication year2014

Pages219-239

JournalJournal of International Financial Markets, Institutions and Money

Volume number32

ISSN1042-4431

Open access statusGreen

DOI Linkhttps://doi.org/10.1016/j.intfin.2014.05.006

PublisherElsevier


Abstract
This paper proposes a methodological improvement to empirical studies of herd behavior based on investor transactions. By developing a simple model of trading behavior, we show that the traditionally used herding measure produces biased results. As this bias depends on characteristics of the data, it also affects the robustness of previous findings. We derive a new measure that is unbiased and shows superior statistical properties for data sets commonly used. In an analysis of the German mutual fund market, our measure provides new insights into fund manager herding that would have been undetected under the traditional statistic. (C) 2014 Elsevier B.V. All rights reserved.



Citation Styles

Harvard Citation styleFrey, S., Herbst, P. and Walter, A. (2014) Measuring mutual fund herding - A structural approach, Journal of International Financial Markets, Institutions and Money, 32, pp. 219-239. https://doi.org/10.1016/j.intfin.2014.05.006

APA Citation styleFrey, S., Herbst, P., & Walter, A. (2014). Measuring mutual fund herding - A structural approach. Journal of International Financial Markets, Institutions and Money. 32, 219-239. https://doi.org/10.1016/j.intfin.2014.05.006



Keywords


FINANCIAL-MARKETSHerdingINVESTMENT NEWSLETTERSINVESTORSLSV measureMutual fundsPRICESSECURITY ANALYSTSSTOCK MARKETS

Last updated on 2025-10-06 at 10:22