Tag Archives: Strategic Plan

Good Data for the FHFA

Posted on by

The Federal Housing Finance Agency released a White Paper on the FHFA Mortgage Analytics Platform.  By way of background, the White Paper states that

The Federal Housing Finance Agency (FHFA) maintains a proprietary Mortgage Analytics Platform to support the Agency’s strategic plan. The objective of this white paper is to provide interested stakeholders with a detailed description of the platform, as it is one of the tools the FHFA uses in policy analysis. The distribution of this white paper is part of a larger effort to increase transparency on mortgage performance and the analytical tools used for policy analysis and evaluation within the FHFA.

The motivation to build the FHFA Mortgage Analytics Platform derived from the Agency’s need for an independent empirical view on multiple policy initiatives. Academic empirical studies may suffer from a lack of high quality data, while empirical work from inside the industry typically represents a specific view. The FHFA maintains several vendor platforms from which an independent view is possible, yet these platforms tend to be inflexible and opaque. The unique role of the FHFA as regulator and conservator necessitated platform flexibility and transparency to carry out its responsibilities.

The FHFA Mortgage Analytics Platform is maintained on a continuous basis; as such, the material herein represents the platform as of the publication date of this document. As resources permit, this document will be up dated to reflect enhancements to the platform. (2)

This platform is a very welcome development for exactly the reasons that the White Paper sets forth.  Academics have a very hard time accessing good data on the mortgage markets (its usually expensive, untimely, limited).  Industry interpretations of data typically have agendas.

A sampling of the Platform’s elements include:

  • Performing Unpaid Principal Balance
  • Scheduled Paid Principal Balance
  • Unscheduled Paid Principal
  • Dollars of New 90 Day Delinquencies
  • Non-Performing Balances
  • Property Value of Non-Performing Loans (30-31)

Let us hope that the Platform offers a transparent and flexible tool to track this very dynamic market.

G-Fee Entreaty

Posted on by

The FHFA has issued a Request for Input about Fannie Mae and Freddie Mac Guarantee Fees. The Request both provides a good explanation of g-fees and poses important questions about their appropriate role in the functioning of the housing finance system. The Request opens,

On December 9, 2013, the Federal Housing Finance Agency (FHFA) announced proposed increases to guarantee fees (g-fees) that Fannie Mae and Freddie Mac (the Enterprises) charge lenders. The Enterprises receive these fees in return for providing a credit guarantee to ensure the timely payment of principal and interest to investors in Mortgage Backed Securities (MBS) if the borrower fails to pay. The MBS, in turn, are backed by mortgages that lenders sell to the Enterprises.

 The proposed changes included an across-the-board 10 basis point increase, an adjustment of up-front fees charged to borrowers in different risk categories and elimination of the 25 basis point Adverse Market Charge for all but four states. On January 8, 2014, Director Melvin L. Watt suspended implementation of these changes pending further review. (1)

The Request asks for responses to 12 questions. The most important, as far as I am concerned, is the first: “Are there factors other than those described in section III – expected losses, unexpected losses, and general and administrative expenses that FHFA and the Enterprises should consider in setting g-fees? What goals should FHFA further in setting g-fees?” (7)

Setting the g-fee has far-reaching consequences not just for the financial health of the two companies, but also for the health of the overall housing market and the mortgage industry. It will also have predictable effects on the litigation over the conservatorships of the two companies. For instance, a high g-fee will make the two companies appear to be more valuable than a low one. The size of the g-fee may also impact the scope of federal affordable housing initiatives.

While this Request for Input is pretty technical (particularly the parts of it that I didn’t blog about), it touches on some of the most fundamental aspects of our system of housing finance. As such, it invites responses from more than just industry insiders. Input is due by August 4th.

CFPB Strategy on Mortgage Data

Posted on by

The CFPB released its Strategic Plan, Budget, and Performance Plan and Report which provides a good summary of what the Bureau has done to date. I was particularly interested in this summary of its work to build a representative database of mortgages:

In FY 2013, the CFPB began a partnership with the Federal Housing Finance Agency (FHFA) to build the National Mortgage Database (NMDB). This work continues in FY 2014. For this database, the FHFA and the Bureau have procured (from a credit reporting agency) credit information with respect to a random and representative sample of 5% of mortgages held by consumers. The NMDB is the first dataset that will provide a truly representative sample of mortgages so as to allow analysis of mortgages over the life of the loans, including firsts, seconds, and home equity loans.

In all of the data used for its analyses, the Bureau will work to ensure that strong protections are in place around personally identifiable information. (66)

Such a database (assuming privacy concerns are adequately addressed) will be an invaluable tool for the Bureau (and researchers too, to the extent that they are allowed to access it). One question that the Strategic Plan does not answer is how fresh will the mortgage data be. The mortgage market can innovate at warp speed, as it did in the mid-2000s, so it will be important for the CFPB database to be as current as possible and accessible to researchers as quickly as possible. That being said, even if the data is a bit stale, it will still provide invaluable guidance regarding abusive behaviors in the market. It should also provide guidance regarding a lack of sustainable credit in the market generally as well as within those communities that have historically suffered from such a lack, low- and moderate-income communities as well as communities of color.

On a separate note, I would say that the Strategic Plan makes some assumptions about the efficacy of financial education that should probably be studied carefully. There is a lot of research that challenges the usefulness of financial education. The Bureau should grapple with that research before it invests heavily in financial education implementation.