Publisher:
School of Finance, University of St. Gallen, St. Gallen
This paper investigates whether multivariate crash risk is priced in the cross- section of expected stock returns. Motivated by a theoretical asset pricing model, we capture the multivariate crash risk of a stock by a combined measure based on its...
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ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
Signature:
VS 314
Inter-library loan:
No inter-library loan
This paper investigates whether multivariate crash risk is priced in the cross- section of expected stock returns. Motivated by a theoretical asset pricing model, we capture the multivariate crash risk of a stock by a combined measure based on its expected shortfall and its multivariate lower tail dependence with the systematic factors of the Carhart (1997) model. We find that stocks with a high exposure to joint crashes of the market and the momentum factor bear a risk premium which is not explained by traditional linear factor models or by other downside risk measures. Our results indicate that accounting for the multivariate crash risk of established state variables helps to understand the cross-section of expected stock returns without further expanding the factor zoo
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...
more
ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
Signature:
DS 142
Inter-library loan:
No inter-library loan
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.
