systematic risk is highly nonlinear in extreme scenarios-especially during the subprime crisis. We find that countercyclical …-traditional risk premia by deliberately increasing their systematic risk while the later focus more on minimizing risk. Our results … suggest that the hedge fund strategies' betas respond more to illiquidity uncertainty than to illiquidity risk during crises …

of financial assets proves their effectiveness in modeling multivariate financial series and assessing risk measures …, such as the value at risk and the expected shortfall. …

-specific extreme market risks. First, we define tail market risk that captures dependence between extremely low market as well as asset … returns. Second, extreme market volatility risk is characterized by dependence between extremely high increments of market … that both frequency-specific tail market risk and extreme volatility risks are significantly priced and our five …

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 …

, heavy tails, and nonellipticity. It introduces a so-called risk fear portfolio strategy which combines portfolio … optimization with active risk monitoring. The former selects optimal portfolio weights. The later, independently, initiates market … leads to superior multivariate density and Value-at-Risk forecasting, and better portfolio performance. The proposed risk …

financial markets. The climate related risk is divided into three subcategories, the environmental uncertainty, the economic … climate risk and the climate policy risk, which all of them may affect the markets directly or indirectly. The perspective is … market valuation of the climate risk. …

risk measures for portfolios with infrequently traded securities have not been explored in the literature. We propose a … methodology to calculate market risk measures based on the Kalman filter which can be used on incomplete datasets. We implement … applied to other markets with thinly traded securities. Our methodology provides reliable market risk measures in portfolios …

risk measures for portfolios with infrequently traded securities have not been explored in the literature. We propose a … methodology to calculate market risk measures based on the Kalman filter which can be used on incomplete datasets. We implement … applied to other markets with thinly traded securities. Our methodology provides reliable market risk measures in portfolios …