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

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 ...

Please Note: Blog posts are not selected, edited or screened by Seeking Alpha editors. The blue line is the firm's one year default probability. The yellow line is the annualized ten year default ...

Please Note: Blog posts are not selected, edited or screened by Seeking Alpha editors. The blue line is the firm's one year default probability. The yellow line is the annualized ten year default ...

Structural models of default are widely used to analyze corporate bond spreads, but have generally been unable to explain why risk premiums are as high as they are. This credit spread puzzle can be ...

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 ...