One pretty obvious aspect of the climate emergency which may have flown under your radar is that human-driven global heating is disrupting traditional approaches to risk modelling around natural ...

The gap between AI and traditional risk modelling is substantial. Traditional models often fall short when dealing with complex, non-linear relationships. In contrast, AI models thrive in detecting ...

The Chinese University of Hong Kong is preparing to extend its diabetes-focused risk prediction model into an Asia-wide chronic disease analytics platform, initially leveraging one of Asia’s largest ...

This paper explores the critical importance of the interest rate risk in the banking book (IRRBB) regulations set forth by the Basel Committee on Banking Supervision. It emphasizes the need for ...

Following PRISMA guidelines, we performed a systematic literature review of the aforementioned statistical and ML models published between January 2008 and December 2022 through searching five digital ...

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 ...