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Analytics Data | Quantitative Analytics

StarMine SmartRatios Credit Risk Model

Ratio-based credit risk model analytics for monitoring credit signals and supporting investment risk decisions.

Key facts for StarMine SmartRatios Credit Risk Model

Coverage metric

Geography:
North America, Asia / Pacific, EMEA, Latin America and the Caribbean
History:
From 1998
Coverage count:
Legal entities - 50950 Public companies
Asset Class
Ordinary Shares, Equities

Delivery metadata

Data Frequency
Daily
Language
English
Delivery methods:
Excel, Deployed/Onsite Servers, API, Web Service, SFTP, Cloud, Desktop, FTP, Bulk, Snowflake, Website, RSS Feed
Data formats:
PDF, GZIP, XML, JSON, CSV, SQL, Text, Python, HTML, Bitmap, MPEG, User Interface, PCAP
Minimum service frequency
Daily

Overview of StarMine SmartRatios Credit Risk Model

Description of the dataset

  • LSEG delivers the StarMine SmartRatios Credit Risk Model to assess corporate credit condition and financial health using accounting ratios predictive of default risk. We provide daily updated one-year probability of default or bankruptcy estimates for 35,000 companies globally, including financial institutions.
  • Our model organizes accounting signals into five core components: profitability, liquidity, leverage, coverage and growth. We combine these measures, including industry-specific metrics, through a logistic regression framework designed for robust default prediction.
  • LSEG maps default probabilities to traditional letter ratings and converts results into 1-100 percentile scores for easier comparison across companies. We support credit research, risk monitoring, portfolio surveillance and issuer screening with transparent ratio-based credit risk analytics.

Accessing the dataset

This dataset can be used by the following products. Talk to us to learn more about different packages and offerings.

Workspace for Investment Bankers, Consultant Edition

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