2021The Review of Economics and StatisticsRequires access

Herding and Contrarianism: A Matter of Preference?

Chad Kendall

Open publisher page 5 citations

Abstract

Abstract Herding and contrarian strategies produce informational inefficiencies when investors ignore private information, instead following or bucking past trends. In a simple market model, I show theoretically that investors with prospect theory preferences generically follow herding or contrarian strategies, but do so because of future returns as opposed to past trends. I conduct a laboratory experiment to test the theory and obtain an estimate of the distribution of preferences in the subject population. I find that approximately 70% of subjects have preferences that induce herding. Using the preference estimates, I quantify informational efficiencies and predict trade behavior in more general environments.

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Abstract Herding and contrarian strategies produce informational inefficiencies when investors ignore private information, instead following or bucking past trends. In a simple market model, I show theoretically that investors with prospect theory preferences generically follow herding or contrarian strategies, but do so because of future returns as opposed to past trends. I conduct a laboratory experiment to test the theory and obtain an estimate of the distribution of preferences in the subject population. I find that approximately 70% of subjects have preferences that induce herding. Using the preference estimates, I quantify informational efficiencies and predict trade behavior in more general environments.

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Available abstract

Abstract Herding and contrarian strategies produce informational inefficiencies when investors ignore private information, instead following or bucking past trends. In a simple market model, I show theoretically that investors with prospect theory preferences generically follow herding or contrarian strategies, but do so because of future returns as opposed to past trends. I conduct a laboratory experiment to test the theory and obtain an estimate of the distribution of preferences in the subject population. I find that approximately 70% of subjects have preferences that induce herding. Using the preference estimates, I quantify informational efficiencies and predict trade behavior in more general environments.

Key concepts: Contrarian, Herding, Preference, Economics, Herd behavior, Financial economics, Population, Econometrics

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