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 …

evaluation of the methodological and empirical advances in the measurement of the extreme market risk. This paper argues that a … sustain the rise of financial markets. Thereafter, this review identified the value at risk (VaR) and VaR-based alternative … expected shortfall (ES) as the principal measures of extreme market risk. The deficiencies in the standard modelling approaches …

Portfolio risk estimation in volatile markets requires employing fat-tailed models for financial returns combined with … copula functions to capture asymmetries in dependence and an appropriate downside risk measure. In this survey, we discuss … how these three essential components can be combined together in a Monte Carlo based framework for risk estimation and …

In this paper, we provide a stable limit theorem for the asymptotic distribution of the sample average value-at-risk …

risk measure and loss functions. The results indicate that the method based on the conditional Extreme Value Theory (EVT … must calculate the market risk capital requirements based on the Expected Shortfall (ES) measure, replacing the Value at … Risk (VaR) measure. In the financial literature, there are many papers dedicated to compare VaR approaches but there are …

This paper attempts to provide a decision-theoretic foundation for the measurement of economic tail risk, which is not … only closely related to utility theory but also relevant to statistical model uncertainty. The main result is that the only … risk measures that satisfy a set of economic axioms for the Choquet expected utility and the statistical property of …