EDF-X

Provides pre-calculated credit risk scores and analytics instantaneously for an enormous universe of companies.

Combines two automated decision rules (distance to trigger and year-on-year implied rating change) to flag companies facing credit deterioration.

The core metric, estimating the likelihood of a company defaulting over a defined period.

Measures the expected loss rate if a default occurs, crucial for calculating Expected Loss.

Translates the calculated PD into a standard Moody's rating scale (e.g., Baa, Aaa).

Combines EDF-X models with the world's largest company database, Orbis (from Moody's), for comprehensive data.

Allows users to project credit risk based on alternative macroeconomic, climate, and user-defined scenarios.

Benchmarks a firm's credit metrics (e.g., PD) against 300,000+ peer groups (based on country, region, and industry).

Users can create personalized interfaces and set up color-coded alerts to monitor portfolios efficiently.

Enables users to incorporate their own data or modify assumptions to conduct tailored stress tests and analyses.

A conversational, Generative AI platform that provides instant, self-service support, helps understand methodology, and summarizes portfolio risk.

A specialized solution that determines and assesses appropriate interest rates for intercompany loans, compliant with OECD guidelines.

Provides both Probability of Default (PD) and Expected Loss Implied Ratings, offering a holistic view of risk.

Incorporates non-financial data, such as payment history, to improve risk assessment accuracy, especially for small businesses.