Thy Neighbor’s Mortgage: Does Living in a Subprime Neighborhood Affect One’s Probability of Default?

This article focuses on the potential externalities associated with subprime mortgage origination activity. Specifically, we examine whether negative spillover effects from subprime mortgage originations result in higher default rates in the surrounding area. Our empirical analysis controls for loan characteristics, house price changes and alternative loan products. Our results indicate that, after controlling for these characteristics, the concentration of subprime lending in a neighborhood does not lead to greater default risks for surrounding borrowers. However, we do find that more aggressive mortgage products (such as hybrid adjustable rate mortgages and low/no‐documentation loans) had significant negative spillovers on other borrowers. Stated differently, the aggressive alternative mortgage designs were more toxic to the housing and mortgage market than previously believed.     

Predatory Lending Laws and the Cost of Credit

Various states and other local jurisdictions have enacted laws intending to reduce predatory and abusive lending in the subprime mortgage market. These laws have created substantial geographic variation in the regulation of mortgage credit. This article examines whether these laws are associated with a higher or lower cost of credit. Empirical results indicate that the laws are associated with at most a modest increase in cost. However, the impact depends on the product type. In particular, loans with fixed (adjustable) rates are associated with a modest increase (decrease) in cost.     

Alternative Lending Channels and the Crisis in U.S. Housing Markets

To what degree has the development of alternative mortgage funding channels promoted the recent boom and bust in U.S. housing markets? Past research examined whether Alt‐A and subprime market shares are correlated with the housing bubble. This article expands the analysis to include the share of specific “alternative” lending terms and finds that the shares of interest‐only and negative amortization loans are important factors in explaining the housing bubble. This result suggests that research on the housing market bubble should focus on the impacts of loan contract terms rather than loan channel.     

Lenders’ pricing strategy: Do neighborhood risks matter?

This article explores the different pricing strategies of lenders who originate both government-sponsored enterprise (GSE) and non-GSE loans. We find that conditional on loan and borrower characteristics and some observable local economic factors, mortgage rates on GSE loans vary significantly across regions. However, we observe no sizable regional variation in loan amounts or default risk. By contrast, the mortgage rates on non-GSE loans depend almost entirely on borrowers and loan characteristics. In addition, we find that spatial variations in GSE mortgage rates are highly responsive to regional prepayment risk. Our results are robust to various controls for neighborhood characteristics, including regional-level bank competition, borrower accessibility to mortgages, and household income levels. Overall, the findings offer a novel insight into how lenders adjust pricing strategies in response to a changing lending environment. The results provide implications relating to the present and imminent dangers of housing bubbles and the intensified refinancing wave following the COVID-19 pandemic.     

Origination Channel,Prepayment Penalties and Default

This article presents evidence that nonbank‐originated subprime mortgages have a higher probability of default than bank‐originated subprime mortgages, but only for loans with prepayment penalties. Evidence also indicates that nonbanks price prepayment penalties less favorably to borrowers than banks do, and nonbanks originate disproportionately more loans with prepayment penalties in locales with less financially sophisticated borrowers. State antipredatory lending law provisions restricting the use of prepayment penalties eliminate the elevated default risk of nonbank originations relative to bank originations. These findings are consistent with incentives generated by nonbank compensation via yield spread premiums on loans with prepayment penalties.     

The Influence of Fannie and Freddie on Mortgage Loan Terms

This article uses a novel instrumental variables approach to quantify the effect that government‐sponsored enterprise (GSE) purchase eligibility had on equilibrium mortgage loan terms in the period from 2003 to 2007. The technique is designed to eliminate sources of bias that may have affected previous studies. GSE eligibility appears to have lowered interest rates by about ten basis points, encouraged fixed‐rate loans over ARMs and discouraged low documentation and brokered loans. There is no measurable effect on loan performance or on the prevalence of certain types of “exotic” mortgages. The overall picture suggests that GSE purchases had only a modest impact on loan terms during this period.     

Subprime Refinancing: Equity Extraction and Mortgage Termination

This article examines the choice of borrowers to extract wealth from housing in the high-cost (subprime) segment of the mortgage market and assesses the prepayment and default performance of these cash-out refinance loans relative to the rate of refinance loans. Consistent with survey evidence, the propensity to extract equity is sensitive to the relative interest rates of other forms of consumer debt. After the loan is originated, our results indicate that cash-out refinances perform differently from non–cash-out refinances. For example, cash-outs are less likely to default or prepay, and the termination of cash-outs is more sensitive to changing interest rates and house prices.     

The Effect of Mortgage Payment Reduction on Default: Evidence from the Home Affordable Refinance Program

This article evaluates the effect of payment reduction on mortgage default within the context of the Home Affordable Refinance Program. We find that mortgage default is sensitive to payment reduction using univariate, duration and hazard modeling approaches. A relative risk Cox model of default with time‐varying covariates estimates that a 10% reduction in mortgage payment is associated with about a 10–11% reduction in monthly default hazard for loans. This finding is robust to the inclusion of empirically important mortgage risk drivers (such as current loan‐to‐value and FICO score) as well as controlling for selection effects based on observables.     

Subprime Lending and Real Estate Prices

This article establishes a theoretical and empirical link between the use of aggressive mortgage lending instruments, such as interest‐only, negative‐amortization or subprime mortgages, and the underlying house prices. Such instruments, which come into existence through innovation or financial deregulation, allow more borrowing than otherwise would occur in previously affordability‐constrained markets. Within the context of a model with an endogenous rent‐buy decision, we demonstrate that the supply of aggressive lending instruments temporarily increases the asset prices in the underlying market because agents find it more attractive to own or because their borrowing constraint is relaxed, or both. This result implies that the availability of aggressive mortgage lending instruments magnifies the real estate cycle and the effects of fundamental demand shocks. We empirically confirm the predictions of the model using recent subprime origination experience. In particular, we find that regions that receive a high concentration of aggressive lending instruments experience larger price increases and subsequent declines than areas with low concentration of such instruments. This result holds in the presence of various controls and instrumental variables.     

Do Riskier Borrowers Borrow More?

Conventional wisdom in the mortgage industry holds that loan-to-value (LTV) ratios are positively correlated with mortgage default rates. However, not all empirical studies of mortgage loan performance support this view. This paper offers a theoretical signaling model of why the correlation between LTV ratios and default risk is contingent upon the default costs of the borrower. Specifically, the model proposes that when default costs are high there exists a separating equilibrium in which risky borrowers will self-select into lower LTV loans to reduce the probability of facing a costly default, while safe borrowers will self-select into higher LTV loans as a signal of their enhanced creditworthiness. This adverse selection process gives rise to the possibility of higher default probabilities for lower LTV loans. Conversely, when default costs are low the conventional result, in which risky borrowers select higher LTV loans than safe borrowers, is obtained. Empirical results, based on a sample of 859 single-family residential mortgage loans drawn from the portfolio of a national mortgage lender, are consistent with the separating equilibria predicted by the model.     

Lender Steering in Residential Mortgage Markets

In this article, we examine the incentives for lenders to steer borrowers into piggyback loan structures to circumvent regulations requiring primary mortgage insurance (PMI) for loans with loan‐to‐value ratios (LTV) above 80%. Our empirical analysis focuses on propensity score‐matched portfolios of piggyback and single‐lien loans having the same combined LTV based on a full set of observed risk characteristics. Our results confirm that mortgages originated with the piggyback structure have much lower ex post default rates and faster prepayment speeds than corresponding PMI loans. We also find a significant causal effect of interstate banking deregulation on the growth of piggybacks in these years, confirming that the ex post performance gap is primarily driven by lender steering on the supply side and not by borrower self‐selection. We then perform a number of tests to explore different origination and execution channels of mortgage steering.     

The Borrower's Choice of Fixed and Adjustable Rate Mortgages in the Presence of Nominal and Real Shocks

This paper concerns the conditions under which borrowers select fixed and adjustable rate mortgages. The novelty of the paper lies in its capability to analyze the effect of nominal and real shocks separately. The fixed rate mortgage (FRM) versus the adjustable rate mortgage (ARM) choice is determined by the expected real interest rate differential, initial wealth, income, expected real and nominal income risk exposure—measured by different parameters—the value of the house, the appreciation of the house and the influence of the variance of nominal and real shocks. Results differ according to whether or not borrowers are restricted by the loan-to-value constraint.     

U.S. Monetary Policy Surprises and Mortgage Rates

This article examines how the U.S. monetary policy surprises impact the mortgage rates in the nation and across five regions from 1990 to 2008. Regression analysis based on bootstrapping shows that surprises in the target federal funds rate (the target factor) have a significantly positive impact on the 1‐year adjustable‐rate mortgage (ARM) rate within the week of the Federal Open Market Committee announcements and the positive impact lasts up to 1 week after the announcements. Surprises in the future direction of the Federal Reserve monetary policy (the path factor) have significantly positive impacts on both the 1‐year ARM rate and the 30‐year fixed mortgage rates in the first week after the announcement. Furthermore, the responses of mortgage rates are asymmetric and affected by the size of monetary policy surprises, the stage of the business cycle and whether the monetary policy is tightening or loosening. There also exists heterogeneity in the mortgage rate pass‐through process across regions and monetary policy surprises have differential impacts on the regional mortgage rates. The cross‐region variations are mainly correlated with the regional housing market conditions, such as home vacancy and rental vacancy rates.     

Reverse Mortgages and Prepayment Risk

This paper presents a detailed assessment of the Connecticut Housing Finance Authority (CHFA) reverse annuity mortgage (RAM) program. Because of the size and payment history of the program, the analysis provides an empirical framework on which to develop and assess other home equity conversion (HEC) programs. The program offers insights into the economic impact of these programs and the factors affecting prepayment. The program issued 765 annuities over five years, and 240 of these loans have terminated payments. The annuity payments had a demonstrable financial impact on the elderly participants, with an 88% average annual income increase. Prepayment rates varied across borrower and loan characteristics. The rates were most sensitive to marital status and were heavily affected by the age of the borrower and the term of the loan. Although default risk exists, the evidence indicates a low probability of the loan value exceeding the house value.     

Inflation Risk, Payment Tilt, and the Design of Partially Indexed Affordable Mortgages

This paper integrates two fundamentally important parameters into a theory of optimal mortgage design: the proportion of inflation risk borne by the lender / investor and the borrower and the amortization-graduation schedule for loan repayments. Equations are derived for a family of innovative mortgages, termed hybrid PLAMs, which offer advantages to borrowers and lenders over either the standard fixed rate mortgage (FRM) or the price level adjusted mortgage (PLAM). The superiority of the hybrid PLAMs lies in their ability to simultaneously and independently accommodate differing degrees of inflation-risk sharing and payment affordability. Inflation-risk sharing is represented by an indexation parameter set over a continuum of values such that the FRM has zero index variability and the PLAM has unit index variability. Similarly, payment tilt is represented by a tilt parameter such that the FRM has zero tilt and the PLAM has unit tilt. We demonstrate that these two parameters are independent and can each be continuously varied in a two-dimensional family of self-amortizing mortgages. A specific hybrid PLAM can be designed to partition inflation risk in any proportion between the borrower and the lender and to simultaneously prescribe any level of payment tilt between the extremes of the FRM and PLAM. The behavior of representative hybrid PLAMs is simulated and compared to FRMs and PLAMs for three different inflation scenarios, one of which uses actual market data from the period of 1960–1990.     

Mortgage Default and Prepayment Risks among Moderate‐ and Low‐Income Households

Using a unique sample of community reinvestment loans, we study the propensity of very low‐income households to terminate a mortgage and compare it to the outcomes for low‐income and moderate‐income households. The results indicate that, even within moderate‐ and low‐income segments, lower or very low income is associated with higher default and lower prepayment probabilities. In addition, depending on how low the borrower's income is, classic determinants of loan termination such as credit scores, the amount of equity in the home and local labor market conditions can have different impacts on default and prepayment probabilities.     

A Note on Equivalent Fixed Rate and Variable Rate Loans; Borrower's Perspective

A common situation is where a borrower is offered the choice of two types of loans—a fixed interest rate loan for a fixed period or a variable interest (floating interest) rate loan. Usual wisdom and advice is that the borrower opts for the fixed rate loan if interest rates are anticipated to rise in the future or opts for the variable rate loan if interest rates are anticipated to fall. However, depending on the magnitude of the rates offered, and the rate uncertainty in the market, such wisdom may not always be well founded. This note demonstrates why this might be. It derives a readily usable, low-mathematical-background expression showing, for borrowers, when fixed and variable rate loans are equivalent and when one rate type is better/worse than the other.     

The Effects of Securitization on Consumer Mortgage Costs

We examine the effects of securitization on two dimensions of consumer mortgage costs: coupon rates and loan origination fees. We find no evidence that securitization reduces the coupon rates on fixed- or adjustable-rate mortgages. Instead, securitization appears to lower mortgage loan origination fees, resulting in substantial savings for consumers. Securitization activity includes passthrough creation and collateralized mortgage obligation (CMO) creation. We test for differences between the effects of passthrough and CMO creation on primary mortgage costs. Surprisingly, these activities appear to have indistinguishable effects on loan rates and origination fees, suggesting that a large derivatives market for mortgage loans is not creating value for consumers.     

Industrial Real Estate Mortgage Default Experience of the New York State Job Development Authority Second Loan Program: A Preliminary Investigation

This paper explores the loan loss experience of a public industrial lending authority, employing contemporaneous borrower net equity as a link to mortgage loan default. The relationship between default, net equity and bankruptcy is tested on a small longitudinal data set of loans using nonparametric statistics and a proportional hazard model. Results show that negative net equity and firm bankruptcy are strongly associated with default among the study population. Further, the borrowers studied did not exercise the put option promptly, suggesting potential benefits from monitoring net equity one year or more prior to default.     

Residential-Mortgage Lending Discrimination and Lender-Risk-Compensating Policies

The Boston Federal Reserve study ( Munnell et al. 1996 ) concluded that illegal discrimination is a statistically significant contributor to the observed gap between white and minority residential-mortgage rejection rates. The Boston study speculated that discrimination arises because lenders do not equally apply risk compensation or mitigation policies for imperfect loans. Using the same 1990 Boston loan application data, our study specifically examines the relation between compensating policies and discrimination. Since compensating policies are encouraged by secondary-mortgage-market sale guidelines, we model both the lender's origination decision and its loan sale decision. Using a rule-based artificial-intelligence technique applied to each lender, we infer compensating policies (rules) that equally apply to all races and explain lending decisions. A minority-race indicator loses its statistical significance when an indicator of compensating-policy violations appears in the loan accept–reject equation. This result reflects the fact that the risk levels of marginal minority loans tend to be more extreme than those of marginal white loans. However, the result does not necessarily reject the existence of discrimination. Equally applied policies may be empirically indistinguishable from unfairly applied policies. In addition, equally applied policies may fail the adverse-impact doctrine if they do not serve a business necessity (such as profits). The industry's move away from discretionary, rule-based decisions to mortgage scoring answers the need for a decision framework that rigorously uses loan performance to evaluate all loan applicants fairly.