Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7364853 | Journal of International Financial Markets, Institutions and Money | 2014 | 38 Pages |
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.
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Social Sciences and Humanities
Economics, Econometrics and Finance
Economics and Econometrics
Authors
Stefan Frey, Patrick Herbst, Andreas Walter,