We examine the quantification of operational risk for banks. We adopt a financial-economics approach and interpret operational risk management as a means of optimizing the profitability of an institution along its value chain. We start by defining operational risk and then propose a...

We propose a simple and implementable model of credit contagion where we in-clude macro- and microstructural dependencies among the debtors within a creditportfolio. We show that, even for diversified portfolios, moderate microstructuraldependencies have already a significant impact on the tails...

The validation of probability calibration is an inherently difficult task. We develop a testing procedure for credit-scoring models. The models comprise two components to check whether the ex-ante probabilities support the ex-post frequencies. The first component tests the level of the...

In this paper operational risk are considered from a purely business or profitability point of view. We show for quantifiable operational risk that the three basic figures for profitability management - value, costs and risks - can be modelled such that an integrative point of view on...

Credit limit management is of paramount importance for successful short-term credit-risk management, even more so when the situation in credit and financial markets is tense. We consider a continuous-time model where the credit provider and the credit taker interact within a game-theoretic...

We introduce an adaptive importance sampling method for the loss distribution of credit portfolios based on the Robbins-Monro stochastic approximation procedure. After presenting the subtle construction of the algorithm, we apply our adaptive scheme for calculating the risk figures of a typical...

In this paper, we study the economic benets from using credit scoring models. We contribute to the literature by relating the discriminatory power of a credit scoring model to the optimal credit decision. Given the Receiver Operating Characteristic (ROC) curve of the credit scoring model, we...