RiskSpan Introduces Enhanced Non-QM Prepayment Model Leveraging Loan-Level Data
RiskSpan's new non-QM prepayment model introduces a two-component framework that improves the precision of prepayment predictions:
- The first component is a Unified Turnover Model, designed to capture base prepayment trends.
- The second component, a Refinance Model Categorized by Documentation Type, is capable of distinguishing among and modeling behavioral characteristics specific to bank statement, debt service coverage ratio/investor, full documentation, and other documentation types
The model is built on loan performance data spanning
- Sensitivity to SATO (Spread at Origination) and Burnout Effects, refining prepayment behavior projections.
- DSCR-Specific Adjustments, incorporating prepayment penalty terms and amounts to refine refinance calculations.
By integrating granular loan-level insights from CoreLogic, this release enhances market participants' ability to accurately assess non-QM prepayment risk, optimize portfolio strategies, and improve secondary market pricing.
"Our latest model delivers a more precise view of non-QM borrower behavior, equipping market participants with the insights needed to manage risk effectively," said Divas Sanwal, Senior Managing Director and RiskSpan's Head of Modeling. "By leveraging CoreLogic's expansive dataset and an expansive GSE dataset, we're enabling investors to better anticipate prepayment trends and make more informed decisions."
The new model is now available for integration into RiskSpan's Platform.
About RiskSpan
RiskSpan delivers a single analytics solution for structured finance and private credit investors of any size to confidently make faster, more precise trading and portfolio risk decisions and meet reporting requirements with fewer resources, and less time spent managing multiple vendors and internal solutions.
Learn more at www.riskspan.com.
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SOURCE RiskSpan
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