Tala execs say proprietary data and adaptive underwriting could unlock lending for entrepreneurs shut out of traditional ...

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 ...

Learn how the Advanced Internal Rating-Based (AIRB) approach helps financial institutions internally assess credit risk using ...

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 ...

Khrystyna Voloshyn, Data Scientist, Tamarack Technology Scott Nelson, Chief Technology and Chief Product Officer, Tamarack ...

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 ...

STOCKHOLM, June 16 (Reuters) - Swedbank said on Monday Sweden's Financial Supervisory Authority had approved its use of a credit risk model for corporate exposures in Sweden and Norway, boosting some ...

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 ...

It is difficult to find any gathering at which artificial intelligence (AI) and its likely impacts on employment and activity are not being discussed. Machine learning, which is a large and important ...

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