Portfolio credit risk is often concerned with the tail distribution of the total loss, defined to be the sum of default … also discuss estimates for Value-at-Risk, and observe that our results may be extended to cases where the number of factors …

book concludes by focussing on the forecasting of risk in very large and uncommon events with extreme value theory and …Financial Risk Forecasting is a complete introduction to practical quantitative risk management, with a focus on market … risk. Derived from the authors teaching notes and years spent training practitioners in risk management techniques, it …

When measuring market risk, credit institutions and Alternative Investment Fund Managers may deviate from equally … weighting historical data in their Value-at-Risk calculation and instead use an exponential time series weighting. The use of … exponential weighting in the Value-at-Risk calculation is very popular because it takes into account changes in market volatility …

The Growth-Optimal Portfolio (GOP) theory determines the path of bet sizes that maximize long-term wealth. This multi …-horizon goal makes it more appealing among practitioners than myopic approaches, like Markowitz's mean-variance or risk parity. The … GOP literature typically considers risk-neutral investors with an infinite investment horizon. In this paper, we compute …

In this paper, the generalized Pareto distribution (GPD) copula approach is utilized to solve the conditional value-at-risk …-parametric kernel-smoothed interior and the parametric Pareto upper tail and (iii) Value-at-Risk (VaR) to quantify risk measure. The … minimizing CVaR measure and simulated copula returns combined outperforms the risk/return of domestic portfolios, such as the US …