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 ...

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 ...

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 ...

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 ...

More than a third of banks still do not quantitatively assess the impact of climate risk on credit portfolios, the findings of Risk.net ’s Climate Risk Benchmarking study show, despite some ...

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

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 ...

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 ...

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 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 ...