The topics of Economic Capital modelling, reverse stress testing and credit limits are inextricably intertwined as they all focus on exceptional loss events. In this paper, we use the KVA framework in to frame these three topics within a single unified approach. We propose setting credit limits...

Identifying the relevant risk factors and their interdependence is central to understanding the risk exposures and vulnerabilities of a financial institution. It is needed for risk management, solvency assessment and stress testing. We assemble a unique dataset of risk factors relevant for...

We stress test Eurozone banks of systemic importance by applying a historical simulation approach. The balance sheets of the sample banks represent aggregate exposure for which we calculate the impact of stress on economic capital. We obtain market and credit risk exposures from publicly...

This study shows that the statistical property of the commercial banks' rate of returns can be used to explain the resistance to using Value-at-risk (VaR) and stress tests to determine banks' capital adequacy. We showed that “fat-tail” risk requires more capital than the “normal tail”...

A large fraction of bank's assets and debts in developing countries are usually denominated in foreign currencies (e.g. US dollars, euros). Therefore, fluctuations of the exchange rate is likely to affect their financial wealth. The equity-asset ratio is a usual measure of bank's financial...

We provide a methodology to estimate a global credit risk factor (GRF) from CDS spreads. The estimated factor contains higher explanatory power on CDS spread fluctuations across sectors than standard credit indices like iTraxx or CDX. We find a positive association between the GRF and implied...

This study aims to evaluate the techniques used for the validation of default probability (DP) models. By generating simulated stress data, we build ideal conditions to assess the adequacy of the metrics in different stress scenarios. In addition, we empirically analyze the evaluation metrics...

One of the main challenges that banks face in modeling operational risk is the instability of risk estimates caused by heavy-tailed and insufficient loss data. To address these issues, we propose a loss scaling method to combine a bank's internal loss data with external loss data of other banks....

The Federal Reserve's Comprehensive Capital Analysis and Review (CCAR) requires large bank holding companies (BHCs) to project losses under stress scenarios. In this paper, we propose multiple benchmarks for operational loss projections and document the industry distribution relative to these...