The use of macro stress tests to assess bank solvency has developed rapidly over the past few years. This development was reinforced by the financial crisis, which resulted in substantial losses for banks and created general uncertainty about the banking sector's loss-bearing capacity. Macro...

Stress tests have been increasingly used in recent years by regulators to foster confidence in the banking sector by not only increasing its resilience via mandatory capital increases but also by enhancing transparency to allow investors to better discriminate between banks. In this study, using...

This paper aims to illustrate how a Mixed-Cross-Section Global Vector Autoregressive (MCS-GVAR) model can be set up and solved for the purpose of forecasting and scenario simulation. The application involves two cross-sections: sovereigns and banks for which we model their credit default swap...

We develop a Mixed-Cross-Section Global Vector Autoregressive (MCS-GVAR) model for the 28 EU economies and a sample of individual banking groups to study the propagation of bank capital shocks to the economy. We conduct various simulations with the model to assess how capital ratio shocks...

Stress tests have been increasingly used in recent years by regulators to foster confidence in the banking sector by not only increasing its resilience via mandatory capital increases but also by enhancing transparency to allow investors to better discriminate between banks. In this study, using...

The use of macro stress tests to assess bank solvency has developed rapidly over the past few years. This development was reinforced by the financial crisis, which resulted in substantial losses for banks and created general uncertainty about the banking sector's loss-bearing capacity. Macro...

Stress tests have been increasingly used in recent years by regulators to foster confidence in the banking sector by not only increasing its resilience via mandatory capital increases but also by enhancing transparency to allow investors to better discriminate between banks. In this study, using...

This paper aims to illustrate how a Mixed-Cross-Section Global Vector Autoregressive (MCS-GVAR) model can be set up and solved for the purpose of forecasting and scenario simulation. The application involves two cross-sections: sovereigns and banks for which we model their credit default swap...