Anti-herding by hedge funds and its implications for expected returns

Sara Ali, Ihsan Badshah and Riza Demirer

Journal of Economic Behavior & Organization, 2023, vol. 211, issue C, 31-48

Abstract: Utilizing a dataset of 1,899 U.S. hedge funds, we present evidence of anti-herding behaviour among the U.S. hedge fund managers. Hedge funds anti-herd irrespective of market volatility and credit deterioration conditions although funding illiquidity has a stronger effect on the formation of anti-herding behaviour across the majority of hedge fund schemes analysed. More importantly, we document significant economic implications of anti-herding and show that hedge funds associated with high degree of anti-herding earn significantly higher excess returns over those with low degree of anti-herding, particularly in the intermediate and long horizons up to one year. At the same time, hedge funds that anti-herd experience greater idiosyncratic volatility in subsequent periods, presenting a novel perspective to the relationship between anti-herding, idiosyncratic volatility and expected returns. While the finding of anti-herding in the hedge fund industry is not unexpected as the main attraction of hedge funds is to devise proprietary trading strategies that is based on private information, our findings provide novel insight to the link between idiosyncratic volatility and expected returns in the context of anti-herding in the hedge fund industry.

Keywords: Hedge Funds; Herding Behaviour; Fundamental Information; Idiosyncratic Volatility (search for similar items in EconPapers)
JEL-codes: G11 G14 G23 (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:jeborg:v:211:y:2023:i:c:p:31-48

DOI: 10.1016/j.jebo.2023.04.029

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