Data scientists, research teams, and quantitative strategists interested in textual analysis and machine learning for investment, credit risk modeling, and developing sentiment/early warning models can now use RatingsXpress: Research, S&P Global Ratings’ digitized credit research.
Receive Unstructured Textual Data in Bulk so you can monitor trends through analyzing potential for ratings upgrades/downgrades
• Dive Deeper with Reliable, Global Coverage on nearly 900,000 active articles1
• Power Your Portfolio with Metadata so you can develop strategies with strong alpha potential
• Combine S&P Global Ratings’ research with existing datasets to formulate unique, proprietary investment ideas
1 - Earliest available article dates back to 1994.