one puts them into the same portfolio. We propose use a Liquidity Bounded Risk-return Optimization (LIBRO) approach, which … volatility risk. …

and downside risk. Evidence from major advanced markets markets markets markets supports the supports the notion that … notion that notion that downside risk measured by value value value-at -risk ( risk (VaRVaRVaR) has significant information … moments of risk for for predict redict ing stock returns. stock returns. stock returns. stock returns. The e The e vidence …

Equity basket correlation is an important risk factor. It characterizes the strength of linear dependence between … return series, and under the risk neutral measure from option prices. The difference between the two estimates motivates a so … dynamic semiparametric factor model (DSFM). -- correlation risk ; dimension reduction ; dispersion strategy ; dynamic factor …

quantile and expectile estimation, a platform for risk assessment is provided. ES and implications for tail events under … different distributional scenarios are investigated, particularly we discuss the implications of increased tail risk for mixture … can be successfully estimated on a daily basis using a one-year time horizon across different risk levels. …

. Based on these active risk factors, an adjustment for intertemporal dependency is made. The authors extend TEDAS methodology … to three gestalts differing in allocation weights’ determination: a Cornish-Fisher Value-at-Risk minimization, Markowitz …

order to apply pricing tools of financial mathematics, one needs to isolate a Gaussian risk factor. A conventional model for … Gaussian variable appears. Earlier work investigated this temperature risk in dfferent locations and showed that neither … accurate fitting procedure of localised temperature risk process by achieving excellent normal risk factors. -- Weather …

Risk management technology applied to high dimensional portfolios needs simple and fast methods for calculation of … Value-at-Risk (VaR). The multivariate normal framework provides a simple off-the-shelf methodology but lacks the heavy … component analysis ; Value-at-Risk …

The simulation of risk processes is a standard procedure for insurance companies. The generation of simulated … (aggregated) claims is vital for the calculation of the amount of loss that may occur. Simulation of risk processes also appears …