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 ...

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 ...

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 ...

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 ...

In todays fast evolving financial landscape, artificial intelligence and machine learning are changin how credit decisions get made. But the traditional “black box” models cause worry 'cause nobody ...

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 ...

The semiconductor industry is poised for strong growth, driven by AI, autonomous driving, IoT, and 5G, despite supply chain and geopolitical challenges. Intel struggles with AI and cloud computing ...

David Croen, Head of Risk Products at Bloomberg L.P., was interviewed by Alison Fletcher, a Corporate Treasury Specialist at Bloomberg, on what customers have faced when evaluating credit rate risk ...

CARY, N.C., Oct. 16, 2025 /PRNewswire/ -- Chartis Research has named SAS a Category Leader in seven separate sectors of the credit risk management market, as detailed in its Credit Risk Management ...