What happens when machine learning meets credit ratings?
A new study spanning more than two decades and more than 500,000 issuer-months presents one of the most accurate and forward-looking models of corporate credit rating transitions to date. By combining machine learning with the SASĀ® KRISĀ® 1-year default probability (KDP), the authors show how investors can gain a powerful