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the complete risk management process. An Example from a mechanical engineering company is used for the final validation of …
Persistent link: https://www.econbiz.de/10009467405
Climate change is emerging as an important issue, and has been a cause for increasing uncertainty in the business sector. It is important to understand the effects of climate change events on financial institutions and the financial system. This study analyzes the effect of climate change on...
Persistent link: https://www.econbiz.de/10015220590
Since banks are among the most important sources not only of finance but also of external governance for firms, the corporate governance of banks is a crucial factor for growth and development. Despite its importance, this topic has been explored only by a few studies. While some authors...
Persistent link: https://www.econbiz.de/10015221979
We compare the out-of-sample forecasting accuracy of the time-varying hazard model developed by Shumway (2001) and the one-period probit model used by Cole and Gunther (1998). Using data on U.S. bank failures from 1985 – 1992, we find that, from an econometric perspective, the hazard model is...
Persistent link: https://www.econbiz.de/10015222914
In this study, we analyze why U.S. commercial banks failed during the recent financial crisis. We find that proxies for commercial real estate investments, as well as traditional proxies for the CAMELS components, do an excellent job in explaining the failures of banks that were closed during...
Persistent link: https://www.econbiz.de/10015222917
loans booked during 1983-1985. Third, other ex ante risk measures are systematically related to banking failure throughout … the sample period. These results suggest that risk-seeking banks brought about their own demise and commercial real estate …
Persistent link: https://www.econbiz.de/10015222919
How quickly do the CAMEL ratings regulators assign to banks during on-site examinations become "stale"? One measure of the information content of CAMEL ratings is their ability to discriminate between banks that will fail and those that will survive. To assess the accuracy of CAMEL ratings in...
Persistent link: https://www.econbiz.de/10015222920
In this study, we analyze why commercial banks failed during the recent financial crisis. We find that traditional proxies for the CAMELS components, as well as measures of commercial real estate investments, do an excellent job in explaining the failures of banks that were closed during 2009,...
Persistent link: https://www.econbiz.de/10015225831
We compare the out-of-sample forecasting accuracy of the time-varying hazard model developed by Shumway (2001) and the one-period probit model used by Cole and Gunther (1998). Using data on U.S. bank failures from 1985 – 1992, we find that, from an econometric perspective, the hazard model is...
Persistent link: https://www.econbiz.de/10015225832
to characterise an instrument that is then used to estimate the impact of sovereign on bank credit risk. Results show … that a 100 basis points increase in the US sovereign default risk implies a 41 basis points increase in bank credit risk …; this effect is about three times larger than the corresponding effect of bank default risk on sovereign’s. Finally …
Persistent link: https://www.econbiz.de/10015260990