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

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 ...

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 launch introduces CMBS Conduit and Agency Multifamily Credit Models alongside the Single-Asset Single Borrower (SASB) Credit Assessment Tool, delivering standardized loan- and pool-level risk ...

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 ...

A visionary business analyst and product owner with 18 years of proven track record in driving industry-transforming financial solutions in the UK, Olubunmi Martins-Afolabi possesses exceptional ...

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 ...

Also, company’s pilot program gives nonprofit lenders access to modern credit scoring while helping them maintain sound lending practices VantageScore has launched its newest tri-bureau credit model, ...

New book explains how AI and machine learning are transforming banking through fraud detection, credit risk modeling, ...

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 ...