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Analytics Data | Quantitative Analytics

StarMine Relative Valuation Model

Model analytics for relative valuation insights, helping compare securities and inform investment analysis.

Key facts for StarMine Relative Valuation Model

Coverage metric

Geography:
North America, Asia / Pacific, EMEA, Latin America and the Caribbean
History:
From 1998
Coverage count:
Legal entities - 46550 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 Relative Valuation Model

Description of the dataset

  • LSEG delivers the StarMine Relative Valuation Model to help investors compare companies through a comprehensive, stock-ranking view of relative valuation. We combine multiple valuation signals into a single percentile-style framework designed to identify attractively and expensively valued equities.
  • Our model blends six powerful valuation ratios using both reported actuals and proprietary StarMine SmartEstimates for forward fiscal periods. We place greater emphasis on forward estimates where analyst forecasts have historically been more reliable and reduce reliance on measures where estimate error is typically higher.
  • LSEG applies a dynamic weighting methodology that adapts the contribution of each valuation component to company-specific characteristics. We support quantitative screening, portfolio construction and fundamental research workflows with a disciplined valuation signal grounded in complementary ratio inputs.

Accessing the dataset

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

LDMS - LSEG Data Management Solution

Cloud-hosted data management and repository platform for commodities content. Supports loading and consolidation of LSEG, third-party, and proprietary data and delivers near-streaming and non-streaming datasets such as pricing, reference data, and fundamentals via a unified interface for integration and analysis.