The last time we discussed the topic of appraisal waivers was at the end of 2022, when we looked at the impact of sharply higher interest rates on the use of this flexibility. Property valuation impact profitability of loan origination. Lenders can gain a significant advantage if they fully understand and choose from all the options in front of them. Given recent market developments, it is no doubt time to take another look at this topic, but structural change has come to this space, so it makes sense to discuss this first.

​Until last year we were in a binary appraisal/waiver world. One or zero. For some time, there have been discussions of various “modernization” programs somewhere in between, with valuations produced via a process that requires less information than that obtained from a full appraisal but not no information.

The value of research depends on the consumer. Traders look for actionable ideas to shore up their P/(L), policymakers look for insights into the impact of various regulatory changes, and risk managers look for potholes in the road ahead. The best research informs all of these constituencies by impacting the “big picture” thinking of all of these constituencies.

We just got a fine example of the latter from a new paper by Camelia Minoiu of the Atlanta Federal Reserve, and Andres Schneider and Min Wei of the Federal Reserve Board, “Why Does the Yield Curve Predict GDP Growth? The Role of Banks.”[1] An old puzzle in economics is why Treasury Curve yield flattening is an excellent predictor of recessions. The authors conduct a comprehensive investigation into the role of banks in the relationship. A lower term premium, they argue, reduces profitability and the availability of credit.

​What does this have to do with the mortgage market? Mortgage credit is provided by both banks and nonbanks. Nonbanks, it may be argued, are monoline credit providers whose credit provision is less impacted by this factor. This leads us to the following chart:

Rising inflation and 30-year mortgage rates near 20-year highs of around 7%, coupled with historically high house prices, have sharply dampened housing demand in the US. This is particularly true for lower-income borrowers where household budgets are badly stretched. These developments have caught the attention of policymakers, who, in response, have taken it upon themselves to lower mortgage fees to partially compensate for these factors.

This is an interesting moment in the formation of housing policy as we have two sets of changes taking effect close together in time. First, FHA announced on February 22, 2023, that it would cut its mortgage insurance premiums by 0.30% to 0.55% effective March 20. More recently, on March 22, GSEs implemented a rather complex set of changes in their upfront fee schedules, effective May 1:

An article published in Commercial Mortgage Alert on June 9 stated that:“Fannie Mae will no longer offer 35-year amortization sched­ules on loans financing market-rate multifamily properties.”
 
They went on to state:“Loans with 35-year amortization schedules accounted for 26.5% of Fannie multifamily loans in May, the highest portion on record and up from 6.1% in the same month a year ago, according to data from Recursion Co., which has amortization data dating to 2016. The research firm also reported that Fan­nie notched $4.25 billion of multifamily business in May, down 14% from last year.”
 
The new policy takes effect on June 12. Loans with 35-year schedules providing support to affordable projects will continue to be offered. 
 
Recursion is pleased to be the preferred source for mortgage data and analytics for key information providers in the mortgage market.

On June 20th, MSCI Executive Director Yihai Yu published a report “Agency MBS Are Going Social”[1], describing the data disclosed by the GSEs in the social data space. He goes on to describe how the release of this data enhances their prepayment models. We are pleased to see that they cite Recursion data in their efforts.
 
Recursion is devoted to providing its clients with cutting-edge analytic tools to access timely and clean mortgage data at a deep level of detail conduct research of great benefit to all the participants in the mortgage market.  

As famous investor Warren Buffett once stated, “Only when the tide goes out do you learn who has been swimming naked.” Well, it turns out that only in a declining market can you see which segments are resilient. In this case, we will look at Planned Unit Developments or PUD’s. A PUD is a planned neighborhood, generally consisting of a group of single-family homes that are bound together by a Homeowners Association (HOA). In this manner, it is like a condo, with the significant difference that the property is usually a stand-alone structure that the buyer owns along with the lot on which it is located. Details about eligibility can be found in Fannie Mae’s selling guide[1].

Below finds the ratio of purchase mortgage deliveries from PUDs to those of 1-4 unit conventional loans:

The release of the Agency performance data in early May provided confirmation that the dip in Early Payment Defaults[1] we have witnessed over the last three months ended a 16-month long uptrend in this statistic for FHA loans. A similar but far more muted pattern can be seen for VA and conventional mortgages. In a previous post, we speculated that the uptrend was correlated with the higher inflationary trend observed since early 2021[2]. Below please find an update of the chart:

As daily April Agency mortgage loan delivery data completed, we found convincing evidence that the freeze in market activities we have witnessed since the fourth quarter of 2022 is continuing, although there are some new twists.
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Here is the chart for the loan counts of purchase market deliveries to the GSEs back to 2019. Rather than do this as a time series, we stack the years over an annual monthly x-axis to better correct for the seasonality in the time series: