By incorporating data from transaction records, customer activity, and market trends, AI allows lenders to evaluate ...

this in-person learning event will provide valuable insights into credit risk model management. Participants will learn how to validate credit risk models by deep diving into the five pillars of model ...

The perfect 850 credit score can give you some enjoyable bragging rights, but you don't need to be perfect. Your real credit ...

The Covid pandemic crushed immigration and demand for Nova Credit's tech. Then its founder discovered a second line of ...

Zest AI, which provides machine-learning software that helps lenders develop credit risk models, has developed tools for creating decisioning models that operate simultaneously. One might be a ...

As artificial intelligence (AI) continues to shape industries worldwide, its role in banking has quietly evolved behind the ...

Ratings agencies quantify the amount of credit risk associated with bonds so investors can understand exactly what they’re getting into. When an investor purchases a bond, they are essentially ...

At the center of Sandeep Yadav's success is his work on building better Probability of Default (PD), Loss Given Default (LGD) ...

It uses historical price data to test the efficacy of existing risk factor models. In particular, it tests whether the models’ extreme quantiles of potential future exposure – that is, the maximum ...

models. These frameworks have improved the ability to predict credit losses by 15% and help financial institutions make better decisions with risk-adjusted returns. The framework includes ...