There's also a customer cost. More data often means more friction: extra verification steps, repeated identity checks, longer ...

Equifax® (NYSE: EFX) today announced the launch of Credit Abuse Risk, a new predictive model that uses FCRA-regulated data and is designed to help protect lenders against first-party fraud and drive ...

The key function of banks in the real world is endogenously creating (inside) money. But they do so facing solvency, liquidity and maturity risks and being subject to regulatory and demand constraints ...

Happy Money, a leading consumer finance company dedicated to empowering people to achieve their goals through responsible ...

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 ...

This paper introduces a continuous-time extension to the influential CreditRisk+ model for portfolio credit risk modeling. For capital calculations it introduces a risk measure based on the maximum of ...

Expanding MSCI’s multi-asset risk modeling suite, the new tool analyzes private credit risk within a total portfolio context MSCI Inc. (NYSE: MSCI) launched a Private Credit Factor Model to help ...

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 ...

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 ...

Structural models of default are widely used to analyze corporate bond spreads, but have generally been unable to explain why risk premiums are as high as they are. This credit spread puzzle can be ...

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 ...