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Cited by 336

The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.

Prospect Theory and Stock Returns: An Empirical Test

Open access
Barberis, Nicholas, Mukherjee, Abhiroop, Wang, Baolian·2016·Review of Financial Studies

Abstract

We test the hypothesis that, when thinking about allocating money to a stock, investors mentally represent the stock by the distribution of its past returns and then evaluate this distribution in the way described by prospect theory. In a simple model of asset prices where some investors think in this way, a stock whose past return distribution has a high (low) prospect theory value earns a low (high) subsequent return, on average. We find empirical support for this prediction in the cross-section of U.S. stock returns, particularly among small-capitalization stocks where less sophisticated investors are likely to have a bigger impact on prices. We repeat our tests in 46 international stock markets and find a similar pattern in a majority of these markets.

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Metadata

Authors
Barberis, N., Mukherjee, A., & Wang, B.
Venue
Review of Financial Studies
Published
2016-07-01
Volume
29
Issue
11
Pages
3068-3107
ISSN
  • 0893-9454 (ISSN-L)
  • 1465-7368
OpenAlex
W3124148319
Cited by
336
References
47
FWCI
34.69
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Prospect Theory and Stock Returns: An Empirical Test. https://app.cochat.ai/papers/10.1093/rfs/hhw049
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Barberis, N., Mukherjee, A., & Wang, B. (2016). Prospect Theory and Stock Returns: An Empirical Test. Review of Financial Studies. https://doi.org/10.1093/rfs/hhw049

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.