Multivariate crash risk

Fousseni Chabi-Yo, Markus Huggenberger and Florian Weigert

Journal of Financial Economics, 2022, vol. 145, issue 1, 129-153

Abstract: This paper investigates whether multivariate crash risk (MCRASH), defined as exposure to extreme realizations of multiple systematic factors, is priced in the cross-section of expected stock returns. We derive an extended linear model with a positive premium for MCRASH, and we empirically confirm that stocks with high MCRASH earn significantly higher future returns than stocks with low MCRASH. The premium is not explained by linear factor exposures, alternative downside risk measures, or stock characteristics. Extending market-based definitions of crash risk to other well-established factors helps to determine the cross-section of expected stock returns without further expanding the factor zoo.

Keywords: Asset pricing; Nonlinear dependence; Crash aversion; Downside risk; Tail risk; Lower tail dependence; Copulas (search for similar items in EconPapers)
JEL-codes: C58 G01 G11 G12 G17 (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:jfinec:v:145:y:2022:i:1:p:129-153

DOI: 10.1016/j.jfineco.2021.07.016

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