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Polygon Research Expands Loan-Level Non-QM Market Analysis In Hmdavision®
(MENAFN- EIN Presswire) EINPresswire/ -- Polygon Research, a Washington, D.C.-based data and analytics firm focused on housing finance, has released a January 2026 update to its Non-Qualified Mortgage (Non-QM) methodology, expanding loan-level analysis of Non-QM activity across seven years of Home Mortgage Disclosure Act (HMDA) Loan/Application Register data within its HMDAVision® platform.
The Non-QM market is frequently referenced in industry and capital markets analysis, yet HMDA does not include a standardized Non-QM indicator. As a result, market estimates are often derived from securitization data, lender classifications, or inferred assumptions, which may not capture the full scope of primary market activity.
Polygon Research's updated methodology leverages post-2018 HMDA fields to classify loans as Qualified Mortgage (QM), Non-QM, or out of scope for analytical purposes. Loans are evaluated against year-specific Ability-to-Repay and Qualified Mortgage standards, with purchaser information incorporated to improve visibility into Non-QM lending trends across products, pricing, borrower characteristics, and geography.
The January 2026 update includes refinements to the treatment of purchaser type, including clearer identification of loans sold to private securitizers and updated logic for loans reported as sold to“Other” purchasers.
The methodology is intended for market research and analytical use and does not replace legal or compliance determinations.
The full Non-QM methodology is publicly documented at:
About Polygon Research
Polygon Research is a Washington, D.C.-based data and analytics firm focused on housing finance. The firm specializes in loan-level analysis of public datasets, including HMDA, Census, FHA, and agency mortgage-backed securities data, to support market research, competitive analysis, fair lending oversight, and policy evaluation.
More information about Polygon Research is available at
The Non-QM market is frequently referenced in industry and capital markets analysis, yet HMDA does not include a standardized Non-QM indicator. As a result, market estimates are often derived from securitization data, lender classifications, or inferred assumptions, which may not capture the full scope of primary market activity.
Polygon Research's updated methodology leverages post-2018 HMDA fields to classify loans as Qualified Mortgage (QM), Non-QM, or out of scope for analytical purposes. Loans are evaluated against year-specific Ability-to-Repay and Qualified Mortgage standards, with purchaser information incorporated to improve visibility into Non-QM lending trends across products, pricing, borrower characteristics, and geography.
The January 2026 update includes refinements to the treatment of purchaser type, including clearer identification of loans sold to private securitizers and updated logic for loans reported as sold to“Other” purchasers.
The methodology is intended for market research and analytical use and does not replace legal or compliance determinations.
The full Non-QM methodology is publicly documented at:
About Polygon Research
Polygon Research is a Washington, D.C.-based data and analytics firm focused on housing finance. The firm specializes in loan-level analysis of public datasets, including HMDA, Census, FHA, and agency mortgage-backed securities data, to support market research, competitive analysis, fair lending oversight, and policy evaluation.
More information about Polygon Research is available at
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