FHFA Prepayment Monitoring Reports (Q1 2022) Powered by RiskSpan’s Edge Platform
To help enforce alignment of Agency prepayments across Fannie’s and Freddie’s Uniform MBS, the Federal Housing Finance Agency publishes a quarterly monitoring report. This report compares prepayment speeds of UMBS issued by the two Agencies. The objective is to help ensure that prepayment performance remains consistent. This consistency ensures that market expectations of a Fannie-issued UMBS are fundamentally indistinguishable from those of a Freddie-issued UMBS. The two Agencies’ UMBS should be interchangeably deliverable into passthrough “TBA” trades.
This week, the FHFA released the Q1 2022 version of this report. The charts in the FHFA’s publication, which it generates using RiskSpan’s Edge Platform, compare Fannie and Freddie UMBS prepayment rates (1-month and 3-month CPRs) across a variety of coupons and vintages.



Relying on RiskSpan’s Edge Platform for this sort of analysis is fitting in that it is precisely the type of comparative analysis for which Edge was developed.
Edge allows traders, portfolio managers, and analysts to compare performance across a virtually unlimited number of loan subgroups. Users can cohort on multiple loan characteristics, including servicer, vintage, loan size, geography, LTV, FICO, channel, or any other borrower characteristic.
Edge’s easy-to-navigate user interface makes it accessible to traders and PMs seeking to set up queries and tweak constraints on the fly without having to write SQL code. Edge also offers an API for users that want programmatic access to the data. This is useful for generating customized reporting and systematic analysis of loan sectors.
Comparing Fannie’s and Freddie’s prepay speeds only scratches the surface of Edge’s analytical capabilities. Schedule a demo to see more of what the platform can do.




















approaches based on rep lines and loan characteristics important primarily to prepayment models fail to adequately account for the significant impact of credit performance on servicing cash flows – even on Agency loans. Incorporating both credit and prepayment modeling into an MSR valuation regime requires a loan-by-loan approach—rep lines are simply insufficient to capture the necessary level of granularity. Performing such an analysis while evaluating an MSR portfolio containing hundreds of thousands of loans for potential purchase has historically been viewed as impractical. But thanks to today’s cloud-native technology, loan-level MSR portfolio pricing is not just practical but cost-effective. Introduction Mortgage Servicing Rights (MSRs) entitle the asset owner to receive a monthly fee in return for providing billing, collection, collateral management and recovery services with respect to a pool of mortgages on behalf of the beneficial owner(s) of those mortgages. This servicing fee consists primarily of two components based on the current balance of each loan: a base servicing fee (commonly 25bps of the loan balance) and an excess servicing fee. The latter is simply the difference between each loan rate and the sum of the pass-through rate of interest and the base servicing. The value of a portfolio of MSRs is determined by modeling the projected net cash flows to the owner and discounting them to the present using one of two methodologies:


