The paper develops a tail risk forecasting model that incorporates the wealth of economic and financial information … available to risk managers. The approach can be viewed as a regularized extension of the two-stage GARCH-EVT model of McNeil and … extreme value distribution of risk. We use a rich data set from the US equity market to explore when this additional …

; Staatsanleihen; Strom Forwards; stylized facts von Finanzzeitreihen; Value at Risk; Verteilung von Anleiherenditen … Gaussian distribution (NIG distribution); realized moments; stylized facts of financial time series; value at risk … jeweils eine Value at Risk-Berechnung. Im ersten Kapitel wird die Verteilung von Renditen europäischer Staatsanleihen …

Dependence modelling and estimation is a key issue in the assessment of portfolio risk. When measuring extreme risk in … terms of the Value-at-Risk, the multivariate normal model with linear correlation as its natural dependence measure is by no … the data. -- Risk management ; extreme risk assessment ; multivariate models ; dependence function …