This article examines the work of data scientist Sai Prashanth Pathi in AI for credit risk, focusing on explainable machine ...

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 ...

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 ...

AI is transforming global trade. These tools help top experts process macroeconomic indicators, trade flows, and sector-level ...

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 ...

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 ...

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 ...

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 ...