‘Smart’ copycat mutual funds: on the performance of partial imitation strategies

Abstract Using a novel measure of stock-level trade imitation, we uncover ‘smart’ copycats: fund managers that use their own information when beneficial, and otherwise imitate other managers’ better trades. Contrary to previous research, we find that these partial imitation strategies lead to outper...

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Bibliographic Details
Main Author: Roberto Stein
Format: Article
Language:English
Published: SpringerOpen 2022-10-01
Series:Financial Innovation
Subjects:
Online Access:https://doi.org/10.1186/s40854-022-00398-7
Description
Summary:Abstract Using a novel measure of stock-level trade imitation, we uncover ‘smart’ copycats: fund managers that use their own information when beneficial, and otherwise imitate other managers’ better trades. Contrary to previous research, we find that these partial imitation strategies lead to outperformance. Our ‘Copycat Score’ combines the propensity to imitate and to lead trades. Funds at the high and low ends of the score outperform all others. The Copycat Score is persistent in time, related to other measures of skill, and a good predictor of fund performance. We conclude that smart copycatting is another skill of successful fund managers.
ISSN:2199-4730