Operational risk is being considered as an important risk component for financial institutions as evinced by the large sums of capital that are allocated to mitigate this risk. Therefore, risl measurement is of paramount concern for the purposes of capital allocation, hedging, and new product...

Operationelle Risiken betreffen nahezu jede Geschäftstätigkeit von Banken. Sie verfügen über ein hohes Schadenspotential und stellen eine große Herausforderung für das Risikomanagement der Banken dar. Verena Bayer untersucht Ansätze zur Quantifizierung operationeller Risiken und der...

This study aims to overcome the problem of dimensionality, accurate estimation, and forecasting Value-at-Risk (VaR) and Expected Shortfall (ES) uncertainty intervals in high frequency data. A Bayesian bootstrapping and backtest density forecasts, which are based on a weighted threshold and...

We propose a dynamic semi-parametric framework to study time variation in tail parameters. The framework builds on the Generalized Pareto Distribution (GPD) for modeling peaks over thresholds as in Extreme Value Theory, but casts the model in a conditional framework to allow for time-variation...