The use of GARCH models with stable Paretian innovations in financial modeling has been recently suggested in the literature. This class of processes is attractive because it allows for conditional skewness and leptokurtosis of financial returns without ruling out normality. This contribution...

The paper proposes a framework for large-scale portfolio optimization which accounts for all the major stylized facts of multivariate financial returns, including volatility clustering, dynamics in the dependency structure, asymmetry, heavy tails, and nonellipticity. It introduces a so-called...

To determine the appropriate level of risk capital financial institutions are required to empirically estimate and predict specific risk measures. Although regulation commonly prescribes the forecasting horizon and the frequency with which risk assessments have to be reported, the scheme with...

Being still in its early stages, operational risk modeling has, so far, mainly been concentrated on the marginal distributions of frequencies and severities within the context of the Loss Distribution Approach (LDA). A realistic quantitative model, however, should be capable of modeling the...