Articles
June 2026

Reading the Early Warning Signs in Credit Markets

Credit stress rarely arrives as a single, obvious event. More often, it shows up gradually through market pricing, sector weakness, valuation marks, borrower behavior, liquidity pressure, and restructuring activity. That was the focus of Part Two – Seeing Stress First: How SOLVE Is Transforming Restructuring Across Public and Private Credit, a SOLVE webinar hosted by Sourav Srimal, Chief Growth Officer at SOLVE, with Michael Pellerito, SVP, Innovations at SOLVE, Nicholas Marshi, Editor of the BDC Credit Reporter, and Jim Hammond, CEO of Bankruptcy Data.

The discussion brought together perspectives from public credit, private credit, BDC filings, bankruptcy data, and AI-driven pricing to examine how investors can identify signs of stress before they become fully visible in the market.

 

Theme 1: Stress is building, but it is not evenly distributed

One of the clearest takeaways from the discussion is that credit stress is not appearing uniformly across the market. Jim Hammond noted that bankruptcy activity has been trending higher, particularly among smaller businesses, with familiar pressure points in sectors such as real estate, transportation, and healthcare. He also pointed out that large, name-brand bankruptcies have remained relatively subdued, which may reflect the growing use of liability management exercises and out-of-court restructurings.

That distinction matters. A lack of major headline bankruptcies does not mean the market is free of stress. It may simply mean stress is showing up in smaller companies, less visible parts of the market, or in restructurings that never reach the courthouse. For investors, that makes early detection harder, and more important.

 

Theme 2: Market data can reveal stress before filings do

Michael Pellerito emphasized the importance of using market-based signals to identify distress earlier. SOLVE’s data across loans, high yield bonds, CDS, quotes, composite pricing, and AI-powered predictive pricing gives users a broader view into where pressure is beginning to form. 

In the discussion, Michael noted that lower-rated loans, particularly CCC-rated loan tranches, are showing more visible signs of distress than high yield bonds. He also highlighted how CDS data can expose sector-level pressure that may not be obvious from broad categories alone. For example, “technology” may appear relatively stable as a broad sector, while software tells a more nuanced story. 

That level of granularity is critical. In stressed markets, the signal is often hidden beneath the headline. Broad categories can obscure the real risk. Subsector trends, pricing dispersion, widening spreads, and relative value shifts can help investors understand not only where risk is rising, but where it may be mispriced.

 

Theme 3: Private credit requires a more nuanced conversation 

Nicholas Marshi pushed back on the idea that “private credit” can be treated as one single market. Public BDCs, private BDCs, non-traded vehicles, and private funds all have different structures, liquidity profiles, disclosure requirements, and investor dynamics. As a result, the risks are not the same across every corner of the asset class. 

For BDCs specifically, Nicholas argued that there is a meaningful amount of transparency available through quarterly filings. Marks, non-accruals, PIK exposure, maturities, loan structures, and footnotes can provide a rich view into borrower health. In many cases, stress does not appear overnight. It may show up as a gradual mark from par to 90, then 80, then lower. That slow deterioration can be a valuable early warning system.

The panel also discussed PIK, one of the most debated topics in private credit. Nicholas made the important distinction between “good PIK” and “bad PIK,” noting that not all PIK is a sign of distress. In some cases, it is part of the original structure of a growth-oriented loan. In others, it may be used to preserve liquidity for a borrower under pressure. The key is context: why PIK is being used, whether it is collectible, and whether it is masking a deeper credit issue.

 

The closing argument: stress is visible before it is obvious 

The strongest message from the conversation is that stress can often be seen before it becomes a headline, but only if investors are looking across the right data. Bankruptcy filings, BDC marks, non-accruals, PIK trends, loan and bond pricing, CDS spreads, sector performance, and AI-driven predictive pricing all tell part of the story. 

No single indicator is enough. Together, they create a more complete view of where risk is forming, how quickly it is moving, and where investors may need to act. 

Hear the complete discussion from SOLVE, Bankruptcy Data, and the BDC Credit Reporter. Fill out the form >>

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About SOLVE

SOLVE is the leading market data platform provider for fixed-income securities, trusted by sophisticated buy-side and sell-side firms worldwide. Founded in 2011, SOLVE leverages its AI-driven technology and deep industry expertise to offer unparalleled transparency into markets, reduce risk, and save hundreds of hours across front-office workflows. With the largest real-time datasets for Securitized Products, Municipal Bonds, Corporate Bonds, Syndicated Bank Loans, Convertible Bonds, CDS, and Private Credit, SOLVE empowers clients to transform the way they bring new securities to market, trade on secondary markets, and value highly illiquid securities. Headquartered in Connecticut, with offices across the globe, SOLVE is the definitive source for market pricing in fixed-income markets.