The regulatory environment continues to increase in complexity as the EBA and the PRA provide new guidelines and updates to ...

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 ...

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 ...

Collateral Analytics has launched the CA Credit Risk Model. This new patent pending product is designed to offer quantitative measures of the risk and cost of potential borrower default embedded in a ...

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 ...

2023 JAN 06 (NewsRx) -- By a News Reporter-Staff News Editor at NewsRx Policy and Law Daily-- Investigators discuss new findings in risk management. According to news reporting from Waterloo, Canada, ...

PARSIPPANY, N.J.--(BUSINESS WIRE)--Only 18 percent of fintechs and financial services organizations believe their credit risk models are accurate at least 75 percent of the time. The finding is ...

These events remain relevant largely because they occurred during an extended period of geopolitical stability that ran from the late 1990s through to the early 2020s. When shocks did occur, they ...

Thomson Reuters has introduced a new model that includes forward-looking analyst estimates to assess the credit risk of publicly traded companies. Automated traders can incorporate it via a daily data ...

This piece is part of a series benchmarking bank climate risk management practices. Risk Management subscribers can view selected cuts of the underlying data here. Sign up for Risk Benchmarking emails ...