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. …

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 …

estimators of market risk. Despite advances in the theory and practice of evaluating risk, existing measures are notoriously poor … extreme value theory (EVT) to propose a multivariate estimation procedure for value-at-risk (VaR) and expected shortfall (ES …The catastrophic failures of risk management systems in 2008 bring to the forefront the need for accurate and flexible …

real estate bubble burst, credit crunch and banking panics. As a response, extreme value theory (EVT) provides a set of … ready-made approaches to risk management analysis. However, EVT is usually applied to standardized returns to offer more …

, such as the European Banking Authority (EBA), have acknowledged that ESG factors can contribute to risk. Therefore, it is … that risk can also depend on and be directly associated with a specific ESG rating class. Empirical findings on real …

The present article deals with intra-horizon risk in models with jumps. Our general understanding of intra-horizon risk … quantifying market risk by strictly relying on point-in-time measures cannot be deemed a satisfactory approach in general. Instead …, we argue that complementing this approach by studying measures of risk that capture the magnitude of losses potentially …

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

We introduce a class of quantile-based risk measures that generalize Value at Risk (VaR) and, likewise Expected … probability of occurrence. The corresponding risk measure, called Loss VaR (LVaR), determines the minimal capital injection that … and applications to capital adequacy, portfolio risk management and catastrophic risk are presented …

In this paper we propose a new measure for systemic risk: the Financial Risk Meter (FRM). This measure is based on the … parameters over the 100 largest US publicly traded financial institutions. We demonstrate the suitability of this risk measure by … comparing the proposed FRM to other measures for systemic risk, such as VIX, SRISK and Google Trends. We find that mutual …