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American Economic Review Vol. 98 No. 5 2008

Stocks as Lotteries: The Implications of Probability Weighting for Security Prices

Nicholas Barberis1; Ming Huang2

1 Yale School of Management, 135 Prospect Street, PO Box 208200, New Haven, CT 06520. · 2 The Johnson School, Cornell University, Ithaca, NY 14853.

open access

Abstract

We study the asset pricing implications of Tversky and Kahneman's (1992) cumulative prospect theory, with a particular focus on its probability weighting component. Our main result, derived from a novel equilibrium with nonunique global optima, is that, in contrast to the prediction of a standard expected utility model, a security's own skewness can be priced: a positively skewed security can be “overpriced” and can earn a negative average excess return. We argue that our analysis offers a unifying way of thinking about a number of seemingly unrelated financial phenomena.

DOI
10.1257/aer.98.5.2066
Volume
98
Issue
5
Pages
2066-2100
Language
en
Sources
openalex bibtex:phds-export.bib crossref

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