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 …

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 …

incorporate the liquidity risk into the standard risk measures. We consider a one-period risk measurement model. The liquidity …We present a general framework for measuring the liquidity risk. The theoretical framework defines risk measures that … risk is defined as the risk that a security or a portfolio of securities cannot be sold or bought without causing changes …

We investigate risk averse agents who manage risk by trading financial securities in a market that we call a risk … market. We assume this market is perfectly competitive and complete. When risk aversion is expressed using risk measures, the … probability distributions defines a novel template for equilibria under uncertainty and, more specifically, equilibria under risk …

The paper proposes a new approach to model risk measurement based on the Wasserstein distance between two probability … measures. It formulates the theoretical motivation resulting from the interpretation of fictitious adversary of robust risk … nominal model. The Wasserstein approach suits for all types of model risk problems, ranging from the single-asset hedging risk …

Risk (VaR) framework for the market risk capital of bank trading books. While the new rule boosts capital standards, the … capital requirement seems overly burdensome and not sufficiently responsive to market dynamics. It also increases model risk … and opaqueness of capital estimates. Chaudhury (2011) recently reported that the extreme tail risk of US stock portfolios …

the Fundamental Review of the Trading Book. Under the new standards, default risk needs to be measured and capitalized … through a dedicated Default Risk Charge (DRC). While quantitative impact studies are ongoing and banks are preparing for these …-year capital horizon at a 99.9% confidence level. The article discusses selected risk factor models to derive simulation-based loss …

In line with regulations and common risk management practice, the credit risk of a portfolio is managed via its … computations to exposure computations, firms find it expedient to compute these exposures under the risk neutral measure.Here we … show that exposures computed under the risk neutral measure are essentially arbitrary. They depend on the choice of …

Risk can be defined as the likelihood that you can deliver your promise. This paper has used the European put option … and the European call option to construct the p-index and c-index to measure the risk levels (likelihoods) of owning or ….e., higher risk for owning the assets; and (2) assets having higher up move have higher c-index, i.e., higher risk for short …

This study investigates the simplicity and adequacy of tail-based risk measures-valueat-risk (VaR) and expected … shortfall (ES)-when applied to tail targeting of the extreme value (EV) model. We implement Lévy-VaR and ES risk measures as … 2007-2008, we fnd that the simplicity of tail-based risk management with a tail-targeting EV model is more attractive …