The Prospect Capital Asset Pricing Model: Theory and Empirics

EWe propose a capital asset pricing model in which investors exhibit prospect preferences. In equilibrium, we predict that agents seek an optimal trade-off between expected returns, variance, and skewness. Specifically, assets with positive coskewness increase risk in the region of gains (investors are risk-averse), whereas assets with negative coskewness reduce risk in the region of losses (investors are risk-loving). Using U.S. stock market data, we find evidence consistent with the above theoretical predictions. A 1% rise in positive coskewness factor loading leads to 0.42% more stock returns. The negative coskewness coefficients are also positive and significant. The empirics indicate a 0.53% return increase for each 1% increase in the negative coskewness factor loading. In additional tests, we find that the results become stronger among stocks traded by less sophisticated investors. Overall, the implication is that there is a pervasive impact of prospect utility in financial markets.

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Publication Details

Journal
Aledari
Published
2024-12-01
DOI
https://doi.org/10.63355/e47691dp
Primary Topic
Financial Reporting and Valuation Research
Type
article
Field-Weighted Citation Impact
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article

The Prospect Capital Asset Pricing Model: Theory and Empirics

Xiang Gao
Aledari
Financial Reporting and Valuation Research
article

The Prospect Capital Asset Pricing Model: Theory and Empirics

Xiang Gao
article en

Abstract

EWe propose a capital asset pricing model in which investors exhibit prospect preferences. In equilibrium, we predict that agents seek an optimal trade-off between expected returns, variance, and skewness. Specifically, assets with positive coskewness increase risk in the region of gains (investors are risk-averse), whereas assets with negative coskewness reduce risk in the region of losses (investors are risk-loving). Using U.S. stock market data, we find evidence consistent with the above theoretical predictions. A 1% rise in positive coskewness factor loading leads to 0.42% more stock returns. The negative coskewness coefficients are also positive and significant. The empirics indicate a 0.53% return increase for each 1% increase in the negative coskewness factor loading. In additional tests, we find that the results become stronger among stocks traded by less sophisticated investors. Overall, the implication is that there is a pervasive impact of prospect utility in financial markets.

AledariVol. 46(171)
Openalex Percentile: Top 46%
Financial Reporting and Valuation Research
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