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.
These additional costs can impact borrower behavior and loan performance, yet have traditionally been challenging to measure with precision.
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.