Data & Analytics Insights

Quantifying software risk in CLOs

Miles Li

Research Manager - D&A - Analytics

Loy Weng

Director, CMBS Model Quantitative Developer, Research - D&A - Analytics

Luke Lu

Head of Credit Research and Quantitative Modeling - D&A - Analytics

AI-driven disruption fears have triggered a sharp selloff in CLO software loans, significantly underperforming the broader market. While low-moat software firms show justified risk, high- and mid-quality issuers may now be oversold -creating potential opportunities for CLO investors despite rising downgrade concerns.

Key points

  • AI-driven selloff hit software loans hard in the CLO market: CLOs have heavy software exposure (~16% on average). CLO software loans saw prices dropping >7 points from early January to end of February versus ~2 points for the broader loan market, driven by fears of AI disruption.
  • Issuer vulnerability is uneven, but market may be overcorrecting: Of 633 software issuers analyzed, 33% are least vulnerable (Category 1), 57% vulnerable (Category 2), and 10% most vulnerable (Category 3). Category 3 lags clearly in credit metrics and pricing, while Categories 1 and 2 show mixed fundamentals; model cross-checks suggest Categories 1 and 2 may be oversold, with Category 3 pricing broadly fair given higher default risk.
  • Sector fundamentals remain resilient, though downgrade risk can be material:  Software credit quality still outperforms other sectors on CCC and default rates, with limited near-term maturities but a steep wall in 2028–29 that pressures Categories 2 and 3. Private credit CLOs have higher software exposure than BSL deals, though stronger structures help offset downgrade risk; manager, vintage, and issuer concentration remain key differentiators.

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