The regulatory environment continues to increase in complexity as the EBA and the PRA provide new guidelines and updates to ...
Modern credit risk management now leans significantly on predictive modelling, moving far beyond traditional approaches. As lending practices grow increasingly intricate, companies that adopt advanced ...
In the past few years, there have been several developments in the field of modeling the credit risk in banks’ commercial loan portfolios. Credit risk is essentially the possibility that a bank’s loan ...
The technical assistance (TA) missions to the Turks and Caicos Islands (TCI) aimed to enhance the Financial Services Commission’s (TCIFSC) financial stability efforts. The missions reviewed the ...
A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...
This article was written by Jerome Barkate, Nakul Nair, Zane Van Dusen, and Scott Coulter. We are witnessing a remarkable period in the credit markets. Following years of accommodative monetary ...
Long-term forecasts for impairment and capital are often built on the assumption that tomorrow will broadly resemble yesterday. Historical shock events such as the 1997 Russian debt default, the 2008 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results