The present study aims at modelling market risk for four commodities, namely West Texas Intermediate (WTI) crude oil …, natural gas, gold and corn for the period 2007-2017. To this purpose, we use Extreme Value Theory (EVT) together with a set of … Conditional Auto-Regressive Logit (CARL) models to predict risk measures for the futures return series of the considered …

, but also provides a more flexible measure to capture an asymmetric dependence among assets. CoVaR, the Value-at-Risk of … risk contribution that the institution adds to the entire system. Combined with the modified CoVaR methodology and … estimation of the dependence structures through vine copula modeling, we empirically investigate systemic risk in 10 S&P 500 …

We propose a measure for systemic risk: CoVaR, the value at risk (VaR) of the financial system conditional on … institutions being under distress. We define an institution's contribution to systemic risk as the difference between CoVaR … leverage, size, and maturity mismatch predict systemic risk contribution. We also provide out of sample forecasts of a …

theory based models provide a reasonable degree of safety while widespread VaR models do not provide adequate risk coverage …The purpose of this paper is to investigate the performance of VaR models at measuring risk for WTI oil one …-month futures returns. Risk models, ranging from industry standards such as RiskMetrics and historical simulation to conditional …