Redefault Risk After the Mortgage Crisis

 

A tower filled with shredded U.S. currency in the lobby of the Federal Reserve Bank of Philadelphia.

Paul Calem et al. of the Phillie Fed posted Redefault Risk in the Aftermath of the Mortgage Crisis: Why Did Modifications Improve More Than Self-Cures? The abstract reads,

This paper examines the redefault rate of mortgages that were selected for modification during 2008–2011, compared with that of similarly situated self-cured mortgages during the same period. We find that while the performance of both modified and self-cured loans improved dramatically over this period, the decline in the redefault rate for modified loans was substantially larger, and we attribute this difference to a few key factors. First, the repayment terms provided by modifications became increasingly generous, including the more frequent offering of principal reduction, resulting in greater financial relief to borrowers. Second, the later modifications also benefited from improving economic conditions — modification became more effective as unemployment rates declined and home prices recovered. Third, we find that the difference in redefault rate improvement between modified loans and self-cured loans is not fully explained by observable risk and economic variables. We attribute this residual difference to the servicers’ learning process — so-called learning by doing. Early in the mortgage crisis, many servicers had limited experience selecting the best borrowers for modification. As modification activity increased, lenders became more adept at screening borrowers for modification eligibility and in selecting appropriate modification terms.

The big question, of course, is what does this all tell us about preparing for the next crisis? That crisis, no doubt, won’t be a repeat of the last one. But it will likely rhyme with it enough — falling home prices, increasing defaults — that we can draw some lessons. One is that we did not use principal reductions fast enough to make a big difference in how the crisis played out. There were a lot of reason for this, some legit and some not. But if it is good public policy overall, we should set up mechanisms to deploy principal reduction early in the next crisis so that we do not need to navigate all of the arguments about moral hazard while knee deep in it.

Borrowing Constraints and The Homeownership Rate

photo by Victor

Arthur Acolin, Jess Bricker, Paul Calem and Susan Wachter have posted a short paper on Borrowing Constraints and Homeownership to SSRN. The abstract reads,

This paper identifies the impact of borrowing constraints on home ownership in the U.S. in the aftermath of the 2008 financial crisis. The existence of credit rationing in the U.S. mortgage market means that some households for whom it would be optimal to choose to be homeowners may not be able to do so. Borrowers with certain wealth, income and credit characteristics are unable to obtain a loan even if they are willing to pay a higher cost of credit (Linneman and Wachter 1989). The Stiglitz and Weiss (1981) canonical model sets up the rationale for this credit rationing. Using data from the 2001, 2004-2007 and 2010-2013 Surveys of Consumer Finance (SCF), this paper measures the impact of changes in the income, wealth and credit constraints on the probability of home ownership. Credit supply eased and then became considerably more restricted in the wake of the Great Recession. The loosening of borrowing constraints was accompanied by an increase in home ownership from the late 1990s until the start of the housing crisis. In this paper we estimate the role the tightening of credit has had on the probability of individual households to become homeowners and the decline in the aggregate home ownership rate following the crisis. The home ownership rate in 2010-2013 is predicted to be 5.2 percentage points lower than it would be if the constraints were at the 2004-2007 level and 2.3 percentage points lower than if the constraints were set at the 2001 level.

This paper builds on some of the other work of the authors (see here for instance) on the homeownership rate. The paper makes a valuable contribution by estimating the impact of credit rationing on the homeownership rate. To the extent we can identify an optimal amount of credit supply, it should help us to determine a target homeownership rate to guide policymakers.