The Basel II Accord requires that banks and other Authorized Deposit-taking Institutions (ADIs) communicate their daily risk forecasts to the appropriate monetary authorities at the beginning of each trading day, using one or more risk models to measure Value-at-Risk (VaR). The risk estimates of...

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...

This paper aims to replicate the semiparametric Value-At-Risk model by Dias (2014) and to test its legitimacy. The study confirms the superiority of semiparametric estimation over classical methods such as mixture normal and Student-t approximations in estimating tail distribution of portfolios,...

We merge the literature on downside return risk and liquidity risk and introduce the concept of extreme downside liquidity (EDL) risks. The cross-section of stock returns reflects a premium if a stock's return (liquidity) is lowest at the same time when the market liquidity (return) is lowest....

Betting-against-risk (BAR) anomaly portfolios formed on past beta and idiosyncratic / total volatility produce large CAPM alphas. But these return spreads are well explained by the Fama--French six-factor model (FF6). Operating profitability, investment, and momentum factors subsume the low-risk...

Abstract In 1995, the Basel Accords introduced an alternative method to compute the market risk charge through the use of a risk model developed internally by the financial institution. These internal models, based on the Value-at-Risk (VaR), follow certain rules that are defined under the Basel...

We show that conditional skewness and kurtosis of the momentum strategy are highly time-varying and sometimes take extreme values or may even not exist. The high negative skewness and high kurtosis arise since the winners' and losers' skewness moves in opposite directions, whereas the kurtosis...

We present dynamic trading strategies that target a predefined level of risk measured by volatility, Value-at-Risk (VaR) or Conditional-Value-at-Risk (CVaR). Recent studies have shown that volatility targeting increases the risk-adjusted performance and heightens utility gains for mean-variance...

Geopolitical events can impact volatilities of all assets, asset classes, sectors and countries. It is shown that innovations to volatilities are correlated across assets and therefore can be used to measure and hedge geopolitical risk. We introduce a definition of geopolitical risk which is...

This paper studies how the stock market perceives and prices cyber risk. To estimate the ex-ante likelihood that a firm will experience a cyber attack, we apply cross-validated logistic LASSO regressions to a set of firm and industry characteristics along with an estimate of a firm's...