
New AI Model Boosts Credit Rating Predictions
Key highlights
- High accuracy in forecasting corporate credit changes
- Developed by SAS, Man Group, PIC, and Stanford
- Utilizes over two decades of KRIS data for insights
- Proactive risk management enhances investment returns
- Machine learning model outperforms traditional methods
Source: PR Newswire
Notable Quotes
“ The breakthrough approach of our new model shows that investors can do a lot better than the current best practices. ”
Stas Melnikov, Head of Quantitative Research and Risk Data Solutions at SAS
“ The new models significantly outperformed traditional approaches. In plain English, they were much better at telling us which companies were at risk of downgrade or upgrade. ”
Steven Desmyter, President at Man Group
Why this matters
This announcement marks a significant advancement in risk management for investors, enabling them to better anticipate credit rating changes and make informed decisions even in fluctuating economic conditions. This development is particularly significant for the finance sector.



