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Analytics Data | Quantitative Analytics

StarMine Structural Credit Risk Model

Structural credit risk analytics model supporting assessment of credit signals and investment risk monitoring.

Key facts for StarMine Structural Credit Risk Model

Coverage metric

Geography:
North America, Asia / Pacific, EMEA, Latin America and the Caribbean
History:
From 1998
Coverage count:
Legal entities - 45350 Public companies
Asset Class
Ordinary Shares, Equities

Delivery metadata

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

Overview of StarMine Structural Credit Risk Model

Description of the dataset

  • LSEG delivers the StarMine Structural Credit Risk Model to evaluate the equity market’s view of corporate credit risk. We extend the structural default prediction framework associated with Robert Merton, where a company’s equity is modelled as a call option on its assets.
  • Our methodology enhances the traditional structural approach by incorporating StarMine equity alpha expertise, including the Value-Momentum model in the drift rate formulation. We also optimise default point and volatility assumptions, with specialised treatment for sectors such as banks and insurance companies.
  • LSEG maps structural default probabilities to letter ratings and 1-100 percentile scores for intuitive interpretation. We provide a closed-form solution that helps reduce erroneous outputs associated with numerical solutions in many structural model implementations.

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.