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
1 - Earliest available article dates back to 1994.
RatingsXpress®
Streamlined delivery of S&P Global Ratings data
Enhance your analysis with RatingsXpress®, one of the industry’s largest databases of current and historical credit ratings.
Bulk access to credit research from S&P Global Ratings for Textual Data Analysis
Build on your analysis with a deeper look at a company’s business, financial, industry and economic risk
Get actionable insights
Enrich your databases with access to a direct ratings feed straight from the source.
Benefits of a RatingsXpress subscription
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RatingsXpress will help you to:
- • Develop back testing models
- • Conduct risk management benchmarks
- • Test investment policy guidelines
- • Perform analytical comparability
- • Identify relative value
- • Implement capital adequacy scenarios on user- defined criteria
- • Assess counterparty risk
RatingsXpress Use Cases
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Use cases for a RatingsXpress subscription include, but are not limited to, the following:
- • Enterprise Risk Management
- • Asset Liability Management
- • Portfolio Management
- • Investment Risk Management
- • Pre- and Post-Trade Compliance
- • Performance (Risk/Return) Measurement and Attribution
- • Treasury Functions
- • Investor Reporting
- • Financial Statement Reporting
- • Statutory and/or Regulatory Filings
- • Search issuers and/or securities based on S&P Global Ratings data
- • Storage of S&P Global Ratings data in a centralized location
- • Further distribution/redistribution of S&P Global Ratings data
- • Derived Content
- • Marketing Materials
- • Publication on websites