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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, 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 Structural Credit Risk Model

MARKET-IMPLIED CREDIT RISK

Equity-Informed Credit Risk

  • Evaluates the equity market’s view of corporate credit risk.
  • Provides a systematic, forward-looking measure of financial distress.
  • Delivers probability of default, implied rating and relative risk score.
ENHANCED STRUCTURAL ANALYSIS

Advanced Merton Framework

  • Builds on established Merton structural default framework, combining leverage, asset-value drift and volatility.
  • Incorporates StarMine Value-Momentum into asset-value expectations.
  • Adjusts for sector characteristics and regional default differences.
ANTICIPATE CREDIT DETERIORATION

Detect Default Risk

  • Helps identify companies with elevated default risk.
  • Captures changes in financial risk reflected by equity markets.
  • Provides an independent view alongside traditional credit ratings.

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.

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