The author puts forward s a governance-aligned framework for probability of default modeling under class imbalance, combining domain-informed feature ...

A major advancement in risk management among large financial institutions has been the development of internal risk models. The models encompass institutions’ procedures and techniques for assessing ...

We develop a mixed-frequency, tree-based, gradient-boosting model designed to assess the default risk of privately held firms in real time. The model uses data from publicly-traded companies to ...

Before ChatGPT could write essays, explain tax code, or summarize earnings reports, it had to master something far simpler but no less profound: probability. While headlines may credit “artificial ...