This paper investigates whether multivariate crash risk (MCRASH), defined as exposure to extreme realizations of … 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 …

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 …. We find that stocks with a high exposure to joint crashes of the market and the momentum factor bear a risk premium which …

environment interspersed by corrections increasing in amplitude and frequency. This calls for more adaptive dynamic risk … risk that should accurately be estimated is crash risk.This article applies the Log-Periodic Power Law Singularity (LPPLS …) model of endogenous asset price bubbles to monitor crash risk. The model is calibrated to 15 years market history for five …

to hedge downside risks associated with portfolios. Our findings are of interest to regulators, risk managers, investors …

valuation of disaster risk. Focusing on media discourse addresses the challenge of sample size even when major disasters are …

making and risk management. Over the past three decades there has been a trend towards increased asset return correlations … models proposed in the literature can be used to formally characterize and quantify market risk. In particular, we ask how … adequate these models are for modelling market risk at times of financial crisis. In doing so we consider a multivariate t …