Credit risk models used in quantitative risk management treat credit risk analysis conceptually like a single person decision problem. From this perspective an exogenous source of risk drives the fundamental parameters of credit risk: probability of default, exposure at default and the recovery...

Credit risk models used in quantitative risk management treat credit risk analysis conceptually like a single person decision problem. From this perspective an exogenous source of risk drives the fundamental parameters of credit risk: probability of default, exposure at default and the recovery...

This paper reviews recent advances made in improving the robustness of stress-testing models against potential misspecification or risk-factor-distribution misestimation, including conceptual advances in measuring robustness against pricing-model misspecification. In addition, we address an...

We propose a new approach to assess systemic financial stability of a banking system using standard tools from modern risk management in combination with a network model of interbank loans. We apply our model to a unique data set of all Austrian banks. We find that correlation in banks' asset...

The term Systemic Risk belongs to the standard rhetoric of economic policy discussions related to the banking industry. Besides the goal of protecting small depositors, control of systemic risk is given as one of the main arguments for banking regulation. Various recent financial crises have...

Network models of interbank exposures allow the mapping of the complex web of financial linkages among many institutions and address issues of system stability and contagion risk. Although existing models cover a fair amount of ground in explaining how network structure can lead to default...