The Neighborhood Distribution of Subprime Mortgage Lending

Subprime lending in the residential mortgage market, characterized by relatively high credit risk and interest rates or fees, has developed over the past decade into a prominent segment of the market (Temkin, 2000). Recent research indicates that there is geographical concentration of subprime mortgages in Census tracts where there are high concentrations of low-income and minority households. The growth in subprime lending represents an expansion in the supply of mortgage credit among households who do not meet prime market underwriting standards. Nonetheless, its apparent concentration in minority and lower income neighborhoods has generated concerns that these households may not be obtaining equal opportunity in the prime mortgage market. Such lending may undermine revitalization to the extent that it is associated with so-called predatory practices.     

The Economics of Low-Income Mortgage Lending

The presumption that mortgage markets for low-income borrowers and neighborhoods are underserved by lenders has led to a variety of increased government interventions on the supply side of the housing market. Although many studies of low-income lending at the neighborhood level have been published, none is from the firm's perspective. We adopt such a framework to test the twin propositions that the low-income mortgage market is no different from the non-low-income mortgage market and that the low-income mortgage market is underserved.We examine empirically whether the operating costs including credit losses, revenues, and profits of savings and loan institutions engaged in more low-income lending differ systematically from those that do less low-income lending. We find that firms engaged in more low-income mortgage lending have higher costs than those engaged in less low-income lending, which is consistent with higher credit risk for low-income loans. Nevertheless, these firms are no more profitable than those that do less low-income lending, which is inconsistent with a market for low-income mortgage lending that is currently underserved.     

Disparities in Mortgage Lending,Bank Performance,Economic Influence,and Regulatory Oversight

This study investigates factors affecting changes in the disparity of home mortgage denial rates between white and minority loan applicants in the U.S. during the period 1991–1997. We develop a two-stage least-squares regression model that incorporates applicant-level characteristics, neighborhood characteristics, regional economic data, and bank-specific data as explanatory variables. Some have argued that mortgage lenders were under increasing pressure from industry regulators to extend additional credit to minorities and low-income groups during the period under study. The model includes each institution's periodic CRA rating as a proxy for regulatory influence. An alternative explanation is that market forces, such as improvements in economic conditions and in bank financial condition and performance, affected default loss estimates and credit standards in a way that disproportionally benefited minority and low-income applicants. The empirical findings are consistent with the latter hypothesis. We conclude that policy makers should consider the impact of market factors when assessing the allocation of mortgage credit in a particular demographic market. The findings also underscore the importance of controlling for lender assessments of credit risk when evaluating compliance with CRA and fair lending statutes.     

Bank and Nonbank Lenders and the Commercial Mortgage Market

This paper develops an equilibrium model of the commercial mortgage market that includes the sequence from commitment to origination and allows testing for differences by type of lender. From borrowers, loan demand is based on the income yield, capital gains, and expectations about return distributions. Lenders use prices such as mortgage rates and their distributions, and quantities in underwriting standards. There are separate equilibria in the markets for loan commitments and originations. Bank and nonbank lenders are not restricted to the same lending technology, nor to the weights placed on mortgage rates as opposed to underwriting standards. Empirical results for the United States commercial mortgage market indicate that banks use interest rates in allocating credit while nonbanks rely on underwriting standards, notably the loan-to-value ratio. A consequence is that nonbanks have a clientele incentive towards making low cap rate loans compensated by low loan-to-value ratios.     

The impact of CRA agreements on community banks

We develop three empirical models to identify the impact of Community Reinvestment Act (CRA) agreements on the mortgage lending behavior of small banking institutions during the period 1990–1997. CRA agreements are pledges banking institutions make to extend levels of credit to targeted populations and are often used by institutions to reaffirm their commitment to the goals of the CRA. We hypothesize that CRA agreements increase the level of competition for mortgage loans in the targeted area, which in turn causes a reduction in the quantity of mortgage credit to be supplied by community banks. Consistent with the quantity hypothesis, the results show that CRA agreements are associated with less mortgage lending, including lending in lower-income communities (CRA lending) and in minority communities (minority lending), by small community lenders. Evidence does not support a second hypothesis – that community banks respond to the increased competition by providing credit to riskier individuals.     

The Cross‐Market Spillover of Economic Shocks through Multimarket Banks

This study investigates the mortgage lending of banks operating in multiple U.S. metropolitan areas during the housing market collapse of 2007–09. We show that multimarket banks reduced local portfolio lending in response to high overall mortgage delinquencies in their other markets, consistent with the view that local economic shocks can be transmitted to other regions through banks’ internal capital markets. This spillover was greatest when the bank lacked a branch presence and when the market was highly peripheral to the bank in terms of its total mortgage lending. These effects were not fully offset by securitization or other portfolio lenders.     

Subprime Lenders and Mortgage Market Completion

Without a subprime market, some borrowers by virtue of poor credit history, unstable income, and other characteristics are unable to qualify for a mortgage. With a subprime market, there is a more complete credit supply schedule with the market pricing for poorer credit quality in the mortgage rate. By completing the capital market, subprime lenders reduce borrowing constraints. The result is a social welfare gain. Low-credit applicants otherwise denied funding are able to qualify by paying higher interest rates in exchange for offering more equity or lower loan-to-value ratios. This prediction is consistent with the subprime applicants financing or refinancing their mortgages at relatively low loan-to-value ratios.     

Transparency in the Mortgage Market

This paper studies the impact of transparency in the mortgage market on the underlying real estate market. We show that geographic transparency in the secondary mortgage market, which implies geographic risk based pricing in the primary market, can limit risk-sharing and make house prices more volatile. Ex ante, regions prefer opaque markets to enable insurance opportunities. We discuss the implications for risk based pricing and house price volatility more generally. In addition, we investigate the specific conditions under which competitive lenders would optimally choose to provide opaque lending, thus reducing volatility in the real estate market. We show that in general the opaque competitive equilibrium is not stable, and lenders have incentive to switch to transparent lending if one of the geographic regions has experienced a negative income shock. We propose market and regulatory mechanisms that make the opaque competitive equilibrium stable and insurance opportunities possible.     

Do Savings Associations Have a Special Commitment to Housing?

In this paper, we investigate whether elimination of the savings association charter might reduce lending to nontraditional mortgage borrowers. We present a theoretical model of lender portfolio choice, in which nontraditional lenders have some market power and traditional lenders are price takers in the mortgage market. The comparative statics indicate differences between nontraditional and traditional lenders in terms of their asset allocation responses to changes in borrower income and house prices. Empirical tests indicate the absence of such differences between savings associations and commercial banks, suggesting that elimination of the savings association charter would not impair lending to nontraditional mortgage borrowers.     

Bank Branch Presence and Access to Credit in Low‐ to Moderate‐Income Neighborhoods

Banks specialize in lending to informationally opaque borrowers by collecting soft information about them. Some researchers claim that this process requires a physical presence in the market to lower information collection costs. This paper provides evidence in support of this argument in the mortgage market for low‐income borrowers whose access to credit is limited by their inadequate credit histories. Mortgage originations increase and interest spreads decline when there is a bank branch located in a low‐ to moderate‐income neighborhood.     

An Early Assessment of Residential Mortgage Performance in China

The residential mortgage market becomes a financial engine for the booming residential housing development and sustained economic growth in China. Our study provides the first rigorous empirical analysis on the earlier performance of residential mortgage market in China based on a unique micro dataset of mortgage loan history collected from a major residential mortgage lender in China. We found that while the option theory fails to explain prepayment and default behavior in the residential mortgage market in China, other non-option theory related financial economic factors play major roles in determining the prepayment and default risks in China. We also found that borrower’s characteristics are significant in determining prepayment behavior, hence may be used as an effective tool for screening potential high risk borrowers in the loan origination process. Adopting a risk-based pricing in residential mortgage lending in China can improve the efficiency of the market, and enhance the credit availability to the most needed households, i.e., the younger households, blue-collar workers, lower income households, and help them become homeowners.     

Beyond the Transaction: Banks and Mortgage Default of Low‐Income Homebuyers

We evaluate the effects of the lending institution and soft information on mortgage loan performance for low‐income homebuyers. We find that even after controlling for the propensity of a borrower to get a loan from a local bank based on observable characteristics, those who receive a loan from a local bank branch are significantly less likely to become delinquent or default than other bank or nonbank borrowers, consistent with an unobserved information effect. These effects are most pronounced for loans originated to borrowers with marginal credit, where soft information may have a stronger effect. These findings support previous research on information‐driven lending, and provide additional explanation for observed differences in mortgage loan performance between bank and nonbank lenders.     

Regulation of Subprime Mortgage Products: An Analysis of North Carolina's Predatory Lending Law

This paper estimates the effect of North Carolina's high-cost mortgage law on the subprime mortgage market in that state. The results indicate that creditors sharply restricted lending to higher risk consumers in North Carolina following passage of the law. Creditors did not restrict lending in neighboring states or to lower risk consumers in North Carolina. These results suggest that the restriction in North Carolina was due to rationing in response to higher costs imposed by the law. The findings of this study are of importance beyond North Carolina. Other states and municipalities have proposed or passed similar or more restrictive laws. These laws risk taking back some of the gains in credit availability that lower income and higher risk consumers gained in the 1990s.     

The Optimal Mortgage Loan Portfolio in UK Regional Residential Real Estate

In this study, we propose a method based on large deviation theory (LDT), which minimises credit risk (expected loss). We demonstrate how mortgage loan portfolios can be optimised using geographical differences in the risk characteristics of mortgage loans in the UK. Our empirical results show that credit risk can be reduced by a third when the LDT method is used instead of the benchmark portfolios that we calculate with regional-gross-value-added weights and equal weights. More importantly, the difference in the expected loss between these portfolios increases further during bearish housing markets. To see that such numbers matter, in an extreme scenario, the UK mortgage lenders could lose more than 2% a year as the consequence of mortgage defaults, which is equivalent to an annual loss of approximately 20 billion pounds in the UK. Although this extreme state would not continue for a long time, it nevertheless represents a huge potential loss for mortgage lenders and investors.     

Small business lending and the bank-branch network

I examine the role of bank’s distance to the borrower and the proximity of other lenders for the transmission of financial shocks across the bank network. I use a novel dataset of small business lending based on information from the Community Reinvestment Act, which measures lending at census tract groups within each county and yields rich variation in the bank–borrower and borrower–competitor distance. I document that small banks with increased liquidity from proximity to local oil booms, originate more loans to firms far from these booms, and lenders with above-average geographic exposure to residential booms reduce lending in census tract groups with stable house prices. Bank–borrower distance is important for credit expansions, with closer firms receiving more credit, but not for contractions. Proximity of competitors plays a key role: consistent with theoretical predictions, both credit expansions and contractions disproportionately affect markets where the bank faces higher competition.     

Changes in Non-Local Lending to Small Business

In this paper, I use recently collected Community Reinvestment Act loan data to examine how small business lending in local geographic areas (defined as markets) by lenders not physically located in those areas changed between 1996 and 2001. The results show that the importance of outside lending increased substantially over this period when measured in terms of the number of loans rather than the dollar volume of loans. The levels and rates of growth in out-of-market lending are more modest if the share of out-of-market lending is expressed in dollar volumes and almost insubstantial if organizations that engage in substantial credit card lending are excluded as out-of-market lenders. Using a fixed-effects model and an extensive panel data set, I find that the share of outside lending into local geographic markets is positively associated with local market concentration and the average wage of tellers in the market, consistent with the hypothesis that outside loans are to some degree substitutes for in-market loans.     

Subprime Borrowers: Mortgage Transitions and Outcomes

Public policy concerns increasingly have focused on subprime lending. Our research uses a survey of prime and subprime borrowers to address whether borrowers inappropriately are channeled to the subprime segment, if once having taken out a subprime mortgage borrowers are stuck in this market segment, and whether borrowers face higher costs by taking out subprime mortgages. We find that subprime borrowers are less knowledgeable about the mortgage process, are less likely to search for the best mortgage rates, and are less likely to be offered a choice among alternative mortgage terms and instruments—possibly making them more vulnerable to unfavorable mortgage outcomes. Our analysis of market segmentation confirms that typical mortgage underwriting criteria are most important in explaining whether borrowers obtain prime or subprime mortgages—higher credit risk borrowers are more likely to get a subprime loan. Our results further show that search behavior and other demographic factors including adverse life events, age, and Hispanic ethnicity contribute to explaining market segment, suggesting that borrowers may inappropriately receive subprime mortgages. While we find some persistence to market segment—borrowers are more likely to take out a subprime mortgage if their previous mortgage came from the subprime segment—we also find that market segment is not immutable. Analysis of the survey responses indicates that borrowers with subprime mortgages significantly are more dissatisfied with their mortgage outcomes. This is not surprising because subprime borrowers look worse across typical mortgage underwriting criteria. Consistent with policy concerns, however, despite holding constant these and other factors, taking out a mortgage in the subprime segment, by itself, appears to increase dissatisfaction with mortgage outcomes. We do not provide a definitive answer to the question of whether subprime lending, on balance, serves homebuyers well by providing access to mortgage credit to those otherwise constrained, or rather serves homebuyers poorly by inappropriately assigning them to a market where costs are high and the ability to transition to more attractive prime mortgages remains low. Our analysis, however, does provide some empirical support for concerns raised by critics of subprime lending, and for this reason justifies continued public policy debate and analysis.     

Predicting Prepayment and Default Risks of Unsecured Consumer Loans in Online Lending

Online lending provides a means of fast financing for borrowers based on their creditworthiness. However, borrowers may undermine this agreement due to early repayment or default, which are two major concerns for the platform and lenders, since both affect the profitability of a loan. While default risk is frequently focused on credit scoring literature, prepayment has received much less attention, despite a higher prepayment rate being observed in online lending when compared with default. This article uses multivariate logistic regression to predict the probability of both the underlying prepayment and default risks. Real consumer lending data of 140,605 unsecured loans provides evidence that these two events have their own distinct patterns. We consider systemic risk by incorporating macroeconomic factors in modeling and address the influence of economic conditions, which are lessons learnt from the last financial crisis. The out-of-sample validation has shown that both prepayment and default can be accurately predicted. This article highlights the necessity of regulations on prepayment given the fast growing online lending market.     

The emergence of information sharing in credit markets

We provide the first systematic empirical analysis of how asymmetric information and competition in the credit market affect voluntary information sharing between lenders. We study an experimental credit market in which information sharing can help lenders to distinguish good borrowers from bad ones. Lenders may, however, also lose market power by sharing information with competitors. Our results suggest that asymmetric information in the credit market increases the frequency of information sharing between lenders significantly. Stronger competition between lenders reduces information sharing. In credit markets where lenders may fail to coordinate on sharing information, the degree of information asymmetry, rather than lender competition, drives actual information sharing behavior.     

Joint size and ownership specialization in bank lending

During the period 1996–2003 consolidation reduces the size diversity of Spanish banks but diversity in ownership forms increases as savings banks and cooperatives gain market share. This paper examines the implications of these structural changes in Spanish credit markets in terms of banks’ specialization (large or small borrowers, relational or transactional lending) and consequent credit availability for small and opaque firms. We find that size-of-the-borrower/size-of-the-bank specialization follows a different pattern in savings banks than in commercial banks, suggesting lower organizational diseconomies of size in the former than in the latter, which helps to explain the increase in ownership diversity over time. We also find that savings banks and cooperatives specialize relatively more in relational lending than commercial banks so ownership diversity assures funding for small firms even if bank consolidation continues.