Housing Affordability Analytics (HAA) provides a complete view of costs like principal, interest, taxes, insurance and inputs like utilities, that impact a borrower’s ability to repay. While traditional models often focus on mortgage payments, we help you capture the full cost of homeownership, including highly variable, location-specific expenses that can significantly influence loan performance. With this clarity, you can better assess affordability risk and make smarter, data-driven MBS decisions.
Traditional loan models often overlook the full cost of owning a home. While principal and interest are fixed and disclosed, other essential costs like property taxes, insurance, and utilities can vary dramatically by location - and are rarely disclosed with the same transparency.
We combine our vast mortgage servicing data with climate-driven utility cost modeling to deliver a comprehensive picture of ownership costs, helping you understand debt-to-income (DTI) dynamics and borrower repayment capacity with unmatched precision.
McDash® covers ~ two-thirds of all U.S. residential loans, delivering high quality insight into property taxes and insurance costs.
Our Climate Risk team’s geospatial models quantify annual utility usage across 109+ million households in the U.S.
Our privacy-protected modeling transforms loan-level detail into security-level analytics, supporting MBS investment decisions at scale.
Specifications
Key Features
Key metrics
- Current and estimated Principal & Interest (P&I) payments
- Estimated annual costs for taxes, insurance (hazard, flood, earthquake) and utilities
- Variable vs. fixed cost breakdown
- Comparison of all-in homeownership costs to local income levels
Multiple asset classes
- Agency MBS Pools
- Agency CMOs
- Agency Credit Risk Transfer (CRT)
- Non-Agency RMBS CMOs
Built for critical use cases
- Prepayment modeling
- Default and loss modeling
- Security selection
Products
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