Idiosyncratic Volatility and the ICAPM Covariance Risk

Abstract We show theoretically and empirically that the cross-section of stock return idiosyncratic volatilities contains useful information about the ICAPM. We construct a proxy cross-sectional bivariate idiosyncratic volatility (CBIV) for the covariance risk between the market and the unobserved hedge portfolio under the ICAPM. Consistent with the ICAPM pricing relation, CBIV is a robust and significant predictor of the equity risk premium. We further show that the return predictability of the tail index in Kelly and Jiang (2014) can be explained by the ICAPM covariance risk.

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Publication Details

Journal
Journal of Financial and Quantitative Analysis
Published
2025-03-28
DOI
https://doi.org/10.1017/s0022109025000195
Citations
2
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
2.21
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article

Idiosyncratic Volatility and the ICAPM Covariance Risk

Bing Han, Gang Li
2 citations
Journal of Financial and Quantitative Analysis
Stochastic processes and financial applications
2.21
article

Idiosyncratic Volatility and the ICAPM Covariance Risk

Bing Han, Gang Li
article en
2 citations

Abstract

Abstract We show theoretically and empirically that the cross-section of stock return idiosyncratic volatilities contains useful information about the ICAPM. We construct a proxy cross-sectional bivariate idiosyncratic volatility (CBIV) for the covariance risk between the market and the unobserved hedge portfolio under the ICAPM. Consistent with the ICAPM pricing relation, CBIV is a robust and significant predictor of the equity risk premium. We further show that the return predictability of the tail index in Kelly and Jiang (2014) can be explained by the ICAPM covariance risk.

Journal of Financial and Quantitative AnalysisVol. 60(8)
Chinese University of Hong Kong (HK)
Openalex Percentile: Top 16%
Stochastic processes and financial applications
2.21
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