Semi-Markov processes extend traditional Markov models by explicitly accounting for the time spent in each state before transitioning. This added temporal dimension is particularly valuable in credit ...

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 ...

The regulatory environment continues to increase in complexity as the EBA and the PRA provide new guidelines and updates to ...

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 ...

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 ...

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 ...