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 ...
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 ...
Having spent over 2 decades in banking and financial services, I have seen how financial models evolve, but never at the speed seen today. AI is reshaping credit risk assessment, offering a more ...
The regulatory environment continues to increase in complexity as the EBA and the PRA provide new guidelines and updates to ...
ATLANTA, Jan. 30, 2026 /PRNewswire/ -- 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 ...
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 ...
Long-term forecasts for impairment and capital are often built on the assumption that tomorrow will broadly resemble yesterday. Historical shock events such as the 1997 Russian debt default, the 2008 ...
In early 2026, the U.S. leveraged loan market performed worse than the high-yield bond market, even though these two asset ...
By welcoming AI-driven vendor platforms into their banks, small and midsize institutions are introducing risks that are poorly understood and potentially interrelated. Boards of directors need to ...
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