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HousingWire · Capital

RiskSpan releases credit risk model built for non-QM loans

Via HousingWire · July 17, 2026
Compiled by Real Estate Trail Editorial · July 17, 2026

Why this matters

RiskSpan’s introduction of a credit risk model tailored to nonqualified mortgage (non-QM) loans signals growing institutional interest in this niche of the US mortgage market. Non-QM loans, which fall outside traditional underwriting standards, have historically been underrepresented in mainstream credit analytics, limiting capital providers’ ability to price and manage risk effectively. The launch reflects a broader trend among institutional investors and lenders seeking more granular, data-driven tools to navigate the complexities of non-QM assets amid evolving regulatory and credit environments. For commercial real estate allocators and capital markets professionals, this development underscores the increasing sophistication required to underwrite and securitize non-QM exposures, which often serve borrowers with atypical income documentation or credit profiles. Enhanced modeling capabilities may facilitate greater capital flow into these loans by reducing informational asymmetries and improving risk-adjusted return assessments. Moreover, the move suggests that lenders and investors are adapting to a market where traditional QM products may be constrained, and alternative credit sources are gaining prominence. Ultimately, RiskSpan’s model could contribute to deeper liquidity and pricing transparency in the non-QM segment, with implications for credit availability and portfolio diversification strategies in US CRE finance.

Editorial analysis · AI-assisted

On the RET wire

  • Disclosed capital deal value tracked in July 2026: $22.3B across 56 reported transactions.

Computed from Real Estate Trail’s own tracked coverage

Excerpt from HousingWire:
RiskSpan has launched a new credit risk model designed for the expanding nonqualified mortgage ( non-QM ) market, adding to its existing prepayment modeling tools as investors seek more specialized analytics for the a…
Read the full article at HousingWire →

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