Key Takeaways
- • Moody's Corporation and Allvue Systems launched the Moody's Analytics EDF-X Private Credit Model, a forward-looking credit risk model built for the private credit market and available through the Moody's Analytics EDF-X API.
- • The model is calibrated on de-identified Allvue private credit borrower performance data, making it the first Moody's model calibrated directly on observed private credit performance.
- • The model flags soft credit events such as covenant waivers and payment-in-kind arrangements before they appear as missed payments or defaults, and separately estimates the likelihood of hard credit events.
- • Moody's projects private credit to approach $4 trillion in assets by 2030, and Allvue states more than 1,000 private capital firms use its solutions.
- • The model supports portfolio monitoring, manager evaluation, investment selection, and capital allocation, and is positioned as an independent, third-party risk view distinct from Moody's Ratings.
Summary
Moody's Corporation (NYSE: MCO) and Allvue Systems, LLC announced the launch of the Moody's Analytics EDF-X Private Credit Model, a new forward-looking credit risk model designed for private credit. According to the announcement, the model identifies early signals of borrower stress, including covenant waivers and payment-in-kind arrangements, before they surface as missed payments or defaults.
The companies argue that private credit lacks the transparency of public credit markets, where participants can rely on published ratings, financial disclosures, and transparent pricing. Private credit often depends on proprietary credit assessments with limited comparability across positions. Moody's projects the asset class to approach $4 trillion in assets by 2030, increasing investor and lender demand for earlier visibility into where risk is building.
The model is built on Moody's credit expertise and de-identified private credit borrower performance data contributed by Allvue, which the companies describe as contractually governed, with no individual firm identifiable. It complements Moody's existing credit risk models, which reflect private companies across a broad range of lending markets. Moody's describes it as the first Moody's model calibrated directly on observed private credit performance. It separately estimates the likelihood of hard credit events, such as missed payments, and of the soft credit events that often precede them.
Moody's CEO of Moody's Analytics, Christina Kosmowski, said that "the signals that matter often emerge before a missed payment or default." Allvue CEO Marc Scheipe said pairing Allvue's data with Moody's analytical depth gives institutions an independent, third-party evaluation of risk across direct lending portfolios. Allvue reports that more than 1,000 private capital firms use its solutions, directly or through fund administrators.
The model is available to customers of both firms through the Moody's Analytics EDF-X API and supports portfolio monitoring, manager evaluation, investment selection, and capital allocation. It joins the EDF-X CreditGradient suite, which expresses model-based credit risk signals for unrated borrowers. Moody's stresses that these are analytical models, distinct from credit ratings and other services provided by Moody's Ratings to private credit issuers.
The companies argue that private credit lacks the transparency of public credit markets, where participants can rely on published ratings, financial disclosures, and transparent pricing. Private credit often depends on proprietary credit assessments with limited comparability across positions. Moody's projects the asset class to approach $4 trillion in assets by 2030, increasing investor and lender demand for earlier visibility into where risk is building.
The model is built on Moody's credit expertise and de-identified private credit borrower performance data contributed by Allvue, which the companies describe as contractually governed, with no individual firm identifiable. It complements Moody's existing credit risk models, which reflect private companies across a broad range of lending markets. Moody's describes it as the first Moody's model calibrated directly on observed private credit performance. It separately estimates the likelihood of hard credit events, such as missed payments, and of the soft credit events that often precede them.
Moody's CEO of Moody's Analytics, Christina Kosmowski, said that "the signals that matter often emerge before a missed payment or default." Allvue CEO Marc Scheipe said pairing Allvue's data with Moody's analytical depth gives institutions an independent, third-party evaluation of risk across direct lending portfolios. Allvue reports that more than 1,000 private capital firms use its solutions, directly or through fund administrators.
The model is available to customers of both firms through the Moody's Analytics EDF-X API and supports portfolio monitoring, manager evaluation, investment selection, and capital allocation. It joins the EDF-X CreditGradient suite, which expresses model-based credit risk signals for unrated borrowers. Moody's stresses that these are analytical models, distinct from credit ratings and other services provided by Moody's Ratings to private credit issuers.
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