Showing 1 - 10 of 668
Persistent link: https://www.econbiz.de/10005408552
Prior empirical research on the relation between credit risk and the business cycle has failed to properly investigate the presence of asymmetric effects. To fill this gap, we examine this relation both at the aggregate and the bank level exploiting a unique dataset on Italian banks' borrowers'...
Persistent link: https://www.econbiz.de/10005006317
In this paper we describe the methodologies that can be used for stress testing credit risk providing some applications to the Italian banking system.Within the FSAP for Italy, stress tests examined the impact of a variety of shocks on the nine major Italian banking groups. The tests were...
Persistent link: https://www.econbiz.de/10010658884
In this paper we describe the methodologies that can be used for stress testing credit risk providing some applications to the Italian banking system.Within the FSAP for Italy, stress tests examined the impact of a variety of shocks on the nine major Italian banking groups. The tests were...
Persistent link: https://www.econbiz.de/10010658899
Persistent link: https://www.econbiz.de/10007893949
Persistent link: https://www.econbiz.de/10008262215
Persistent link: https://www.econbiz.de/10008895818
Persistent link: https://www.econbiz.de/10008880039
In the recent banking literature on the relationship between credit risk and the business cycle, the presence of asymmetric effects both across credit risk regimes and through the business cycle has been generally neglected. Employing threshold regression models both at the aggregate and the...
Persistent link: https://www.econbiz.de/10012723726
We suggest the use of an index of Internet job-search intensity (the Google Index, GI) as the best leading indicator to predict the US monthly unemployment rate. We perform a deep out-of-sample forecasting comparison analyzing many models that adopt our preferred leading indicator (GI), the more...
Persistent link: https://www.econbiz.de/10011099697