Risky Cash-Out Refis

Anil Kumar of the Dallas Fed has posted Do Restrictions on Home Equity Extraction Contribute to Lower Mortgage Defaults? Evidence from a Policy Discontinuity at the Texas’ Border to SSRN.  The abstract reads

Given that excessive borrowing helped precipitate the housing crisis, a key component of a policy agenda to prevent future meltdowns is effective regulation to curb unaffordable mortgage debt. Texas is the only US state that limits home equity borrowing to 80 percent of home value. Anecdotal reports have long suggested that home equity restrictions shielded Texas homeowners from the worst of the subprime mortgage crisis. But there is, as yet, no formal empirical investigation of these restrictions’ role in curbing mortgage default. This paper is the first to empirically estimate the impact of Texas home equity restrictions on mortgage default using individual and loan level data from three different sources. The paper exploits the policy discontinuity around Texas’ interstate borders induced by the home equity restrictions to identify the causal effect of home equity extraction on mortgage default in a border discontinuity design framework. The paper finds that limits on home equity borrowing in Texas lowered the likelihood of mortgage default by about 2 percentage points with a significantly larger impact on mortgage borrowers in the bottom quartile of the credit score distribution. Estimated default hazards for mortgages within 50 to 100 miles of the Texas’ border decline sharply as one crosses into Texas. Overall, the paper finds evidence that Texas’ home equity restrictions exert a robust negative impact on mortgage default.

This is a really important paper asking a really important question.  If its findings are confirmed, it brings us back to that age-old question of paternalism in consumer financial protection: should we limit a consumer’s choice if that choice is consistently shown to have harmful effects?  I am not sure where I come down in this particular case, but I wonder if some version of Quercia et al.‘s benefit ratio could help measure the costs and benefits of such a rule. The benefit ratio compares “the percent reduction in the number of defaults to the percent reduction in the number of borrowers who would have access to [a certain type of] mortgages.” (20) I am not sure whether access to cash out refi mortgages is of the same import as purchase mortgages or even plain old refis, but the concept of the benefit ratio might still make sense in this context.

State of the Nation’s Housing Finance

The Joint Center for Housing Studies of Harvard University has released the 2014 edition of The State of the Nation’s Housing. As to the nation’s housing finance system, the report finds that

The government still had an outsized footprint in the mortgage market in 2013, purchasing or guaranteeing 80.3 percent of all mortgages originated. The FHA/VA share of first liens, at 19.7 percent, was well above the average 6.1 percent share in 2002–03, let alone the 3.2 percent share at the market peak in 2005–06. Origination shares of Fannie Mae and Freddie Mac were also higher than before the mortgage market crisis, but less so than that of FHA. According to the Urban Institute’s Housing Finance Policy Center, the GSEs purchased or guaranteed 61 percent of originations in 2012 and 2013, up from 49 percent in 2002 and 2003.

Portfolio lending, however, has begun to bounce back, rising 8 percentage points from post-crisis lows and accounting for 19 percent of originations last year. While improving, this share is far from the nearly 30 percent a decade earlier. In contrast, private-label securitizations have been stuck below 1 percent of originations since 2008. Continued healing in the housing market and further clarity in the regulatory environment should set the stage for further increases in private market activity. (11)

As usual, this report is chock full of good information about the single-family and multi-family sectors. I did find that some of its characterizations of the housing market were lacking. For instance, the report states

Many factors have played a role in the sluggish recovery of the home purchase loan market in recent years, including falling household incomes and uncertainty about the direction of the economy and home prices. But the limited availability of mortgage credit for borrowers with less than stellar credit has also contributed. According to information from CoreLogic, home purchase lending to borrowers with credit scores below 620 all but ended after 2009. Since then, access to credit among borrowers with scores in the 620–659 range has become increasingly constrained, with their share of loans falling by 6 percentage points. At the same time, the share of home purchase loans to borrowers with scores above 740 rose by 8 percentage points.

Meanwhile, the government sponsored enterprises (GSEs) have also concentrated both their purchase and refinancing activity on applicants with higher credit scores. At Fannie Mae, only 15 percent of loans acquired in 2013 were to borrowers with credit scores below 700—a dramatic drop from the 35 percent share averaged in 2001–04. Moreover, just 2 percent of originations were to borrowers with credit scores below 620. The percentage of Freddie Mac lending to this group has remained negligible.

Yet another drag on the mortgage market recovery is the high cost of credit. For borrowers who are able to access credit, loan costs have increased steadily. To start, interest rates climbed from 3.35 percent at the end of 2012 to 4.46 percent at the end of 2013. This increase was tempered somewhat by a slight retreat in early 2014. In addition, the GSEs and FHA raised the fees required to insure their loans after the mortgage market meltdown, and many of these charges remain in place or have risen. The average guarantee fee charged by Fannie Mae and Freddie Mac jumped from 22 basis points in 2009 to 38 basis points in 2012. In 2008, the GSEs also introduced loan level price adjustments (LLPAs) or additional upfront fees paid by lenders based on loan-to-value (LTV) ratios, credit scores, and other risk factors. LLPAs total up to 3.25 percent of the loan value for riskier borrowers and are paid for through higher interest rates on their loans. (20)

Implicit in this analysis is the view that lending should return in some way to its pre-bust levels. But, in fact, much of the boom lending was unsustainable for many borrowers. The analysis fails to identify the importance of promoting sustainable homeownership and instead relies on one dimensional metrics like credit denials for those with low credit scores. Until we are confident that borrowers with those scores can sustain homeownership in large numbers, we should not be so quick to bemoan credit constraints for people with a history of losing their homes to foreclosure.

The Center’s analysis also takes a simplistic view about guarantee fees.  The relevant metric is not the absolute size of the g-fee. Rather, the issue should be whether the g-fee level achieves its goals. At a minimum, those goals include appropriately measuring the risk of having to make good on the guarantee.

Finally, the Center demonstrates symptoms of historical amnesia when it characterizes an interest rate of 4.46% as “high.” This is an incredibly low rate of interest and one would expect that rates would rise as we exit from the bust years.

I have made the point before that the Center’s work seems to reflect the views of its funders. The funders of this report (not identified in the report by the way) include the National Association of Home Builders; National Association of Realtors; National Housing Conference; National Multifamily Housing Council; and a whole host of lenders, builders and companies in related fields that make up the Center’s Policy Advisory Board. These organizations benefit from a growing housing sector. This report seems to reflect an unthinking pro-growth perspective. It would have benefited from a parallel focus on sustainable homeownership.

Battle of the Mortgage Experts

Judge Saris of the United States District Court (D. Mass.) issued a Memorandum and Order in Massachusetts Mutual Life Insurance Company v. Residential Funding Company, et al., No. 11-30035-PBS (Dec. 9, 2013). The opinion addresses a battle of statistical experts over the proper way to sample some of the hundreds of thousands of mortgages at issue in this litigation.

Mass Mutual, the plaintiff, alleges that the defendants misrepresented material aspects of many of those mortgages. To prove this, Mass Mutual intends to “reunderwrite” about 3.5% of loans by reviewing the “original loan file to determine whether  it was originated in accordance with applicable standards.” (3) . More particularly, Mass Mutual alleged that

the defendants marketed the [RMBS] certificates with representations that the loans backing the securities were underwritten in accordance with prudent underwriting standards and the underlying properties were appraised in accordance with sound appraisal standards, in order to ensure that the borrower could repay the loan and to decrease the risk of default. Plaintiff asserts that the loans underlying each [loan pool] were, in reality, far riskier than represented. Plaintiff also alleges that the defendants knowingly reported false loan-to-value (“LTV”) ratios, and in the case of defendant HSBC, inaccurate owner-occupancy rates for underlying properties. The defendants deny that they made any material misrepresentations in the marketing and sale of the certificates. (4)

The Court stated that while the defendants had identified various methodological errors that would render the report of Mass Mutual’s expert unreliable, similar challenges had failed in four other RMBS litigations. The Court ultimately denied the defendants’ motion to exclude the opinions of the plaintiff’s expert.

A body of law about expert evaluation of misrepresentations in securitization is slowly developing as cases are moving from the motion to dismiss stage to the pretrial discovery phase. This will have broader significance than just securitization litigation, but I find it particularly interesting to watch experts attempt to reduce “questions of misrepresentation” regarding RMBS to yes/no answers. (15) Such attempts to quantify misrepresentation will be useful to resolve cases such as this but also to regulators and researchers down the line.