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 …

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 …

The recent experience from the global financial crisis has raised serious doubts about the accuracy of standard risk … measures as a tool to quantify extreme downward risks. Standard risk measures are subject to a “model risk” due to the … specification and estimation uncertainty. We propose a general adjustment of the Value-at-Risk to compute risk measures robust to …