Despite the use of VaR as a means to control risk, using VaR can have the opposite effect. VaR is used by bank and … insurance regulators more than any other risk measure. A value-at-risk (VaR) constraint on the probability that future firm … systemic risk, the large banks, to use VaR constraints thereby encouraging the banks to which the global financial system is …

. In this paper, various risk models are used to forecast the Value-at-Risk (VaR) in holding the currency. Being a quantile … measure, VaR disregards valuable information conveyed by the sizes of tail losses. As a result, there is tail risk in the use … of VaR in practice. Saddlepoint technique is used to backtest tail risk of VaR by summing all the tail losses …

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 …

straightforwardness, allowing regulators measure risk using a standard database of primitive factors and portfolio positions only, leaving … little error margin in comparing market risk for different financial funds. As such, it should be a tool of preference for …, like short-term Efficient-Market-Hypothesis, EMH. In addition, the model includes a new measure of risk: a liquidity …

The forward-looking nature of option market data allows one to derive economically-based and model-free risk measures … classical risk measures for the S&P500 Index. Delivering good results both at short and long time horizons, the proposed option …-implied risk metrics emerge as a convenient alternative to the existing risk measures …