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Grounded in over 50 years of MI industry participation, our dedicated team of economists, credit risk modelers, data scientists and actuaries provide clients with the full suite of analytical services required to underwrite GSE CRT transactions.


Macroeconomic insights provided by Chief Economist Dr. Raplh DeFranco and his staff

The mortgage credit risk the GSEs are transferring to reinsures and the capital markets is correlated to the overall U.S. economy and, more specifically, the housing and mortgage market.

Arch Capital Group employs a team of economists led by Ralph DeFranco, Ph.D., to help customers understand and put into context the economy’s impact on the housing market.

By tracking key market indicators and through the application of the proprietary Arch MI Risk Index®, which is a statistical model based on nine indicators of the health and local housing markets, Arch provides valuable insights that are critical for understanding the current opportunities and risks.

Some of these insights are published in a quarterly industry report, the Housing and Mortgage Market Review® (HaMMRSM). Historical HaMMR reports can be found at

Arch Credit Risk Services’ clients benefit from the insights provided by Dr. DeFranco and his staff and receive additional services and reports that are not available to the public.


Developed to help clients organize, view and analyze mortgage data.

A key benefit of Arch Credit Risk Services is access to a powerful suite of data visualization tools. Build on Microsoft’s Power BI platform, our team of data modelers and scientists provides a wide array of options for reviewing portfolio data. Additionally, clients can access the application to review and assess information that is of particular interest to them.

The Arch Mortgage Risk Model (ARMOR), our proprietary credit risk model, was developed specifically for assessing U.S. mortgage credit risk including collateral in the GSE CRT programs. We also provide clients with results from a benchmark model developed by an external vendor.