Banks are more prone to say artificial intelligence model performance has a high level of risk than credit unions, according to new American Banker research.

Fixed-income investors take two primary types of risk: interest-rate risk and credit risk, and in exchange, buyers get a return. These two forms of risk can be interrelated, but they also represent ...

Banks are beginning to adapt their credit risk models to account for the impact AI could have on borrowers’ jobs, but experts ...

On the surface, U.S. corporate credit looks almost boringly healthy. That calm is the problem. High and rising rates will ...

As a powerful force in the financial landscape, fintechs offer innovative technology solutions that cater to diverse consumer needs. To manage credit risk effectively, fintech lenders can adopt unique ...

This scheme has consistently delivered the best returns in its Credit Risk category across . This scheme has maintained a relatively low level of volatility within its Credit Risk category over the ...

This paper analyzes the rapid growth and evolving landscape of synthetic risk transfers (SRTs), a securitization tool increasingly used by banks to manage credit risk and optimize capital. Since 2016, ...

ORCL's credit risk hits its highest level in nearly 18 years as AI spending strains cash flow, but a $638B backlog may hold the key to easing investor concerns.

This article was written by Hugo Rodriguez Bautista, Global Product Manager, Risk and Investment Analytics and Bradley Foster, Global Head of Content (Enterprise) at Bloomberg. COVID-19 has introduced ...