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

Roberto Stein ()
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Roberto Stein: University of Nebraska-Lincoln

Financial Innovation, 2022, vol. 8, issue 1, 1-31

Abstract: 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.

Keywords: Copycat portfolios; Mutual funds; Portfolio holdings; Fund performance; Fund manager skill (search for similar items in EconPapers)
JEL-codes: G21 G23 (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1186/s40854-022-00398-7

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