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.     

A model of mortgage losses and its applications for macroprudential instruments

We develop a theoretical model of mortgage loss rates that evaluates their main underlying risk factors. Following the model, loss rates are positively influenced by the house price level, the loan-to-value of mortgages, interest rates, and the unemployment rate. They are negatively influenced by the growth of house prices and the income level. The calibration of the model for the US and Switzerland demonstrates that it is able to describe the overall development of actual mortgage loss rates. In addition, we show potential applications of the model for different macroprudential instruments: stress tests, countercyclical buffer, and setting risk weights for mortgages with different loan-to-value and loan-to-income ratios.     

Household Access to Mortgages in the UK

We employ the propensity score matching approach to investigate household access to mortgages in the UK using information on 29,732 households between 2003 and 2010. We find that, on average, the probability of obtaining a mortgage is similar for White and Non-White households. However, we find that Black households with low incomes are less likely to have mortgages compared to White households with similar characteristics. Asian households, in contrast, do not seem to have a lower probability of having a mortgage.     

The cultural affinity hypothesis and mortgage lending decisions

This paper conducts an empirical analysis of the cultural affinity hypothesis put forth by Calomiris, et al. (1994) in the mortgage lending market. This hypothesis implies that white loan officers, because of a lack of familiarity with minority applicants, will rely more heavily on characteristics that can be observed at low cost (e.g., objective loan application measures) in evaluating the creditworthiness of minority applicants relative to white applicants. Using a cleansed sample of 1,991 loan applications drawn from data collected by the Federal Reserve Bank of Boston, the results of the analysis were consistent with the cultural affinity hypothesis. In particular, we found that marginal black and Hispanic applicants appeared to be held to higher quantitative standards on such objective factors as credit history and debt obligation ratios than were similarly situated marginal white applicants.     

The income elasticity of mortgage loan demand

One explanation for the emergence of the housing market bubble and the subprime crisis is that increases in individuals’ income led to higher increases in the amount of mortgage loans demanded, especially for the middle class. This hypothesis translates to an increase in the income elasticity of mortgage loan demand before 2007. Using applicant‐level data, we test this hypothesis and find that the income elasticity of mortgage loan demand in fact declines in the years before 2007, especially for the mid‐ and lower‐middle income groups. Our finding implies that increases in house prices were not matched by increases in loan applicants’ income.     

Borrower and neighborhood racial and income characteristics and financial institution mortgage application screening

Disparities in mortgage lending patterns between minority and nonminority neighborhoods have refocused attention on the Community Reinvestment Act (CRA), a statute designed to encourage lending by financial institutions to nearby lower income neighborhoods. Geographic disparities may derive from discrimination, neighborhood and borrower attributes, as well as regulation itself. This article examines possible spatial impacts of the CRA. Tests for differential lender screening across regulated and nonregulated institutions in five metropolitan areas provide no consistent findings of regulatory effects. The article also tests whether lower income and minority applicants are more likely to be accepted when they apply for loans in lower income and minority neighborhoods. Using data for Boston, evidence is found for concentration effects that may result from institutional factors, information economies, or regulation.     

外部增信与集合担保:中小企业助保金池案例

成长型中小企业抗风险能力较弱、有效抵押不足的特点,决定了传统的抵押和保证方式难以满足其贷款需求。解决成长型企业贷款担保难问题,必须内外兼顾,在保持内源性担保资源的基础上,探索与外源性担保资源相结合的新途径。建设银行淄博市分行借助政府增信平台和企业缴纳一定比例的助保金组成"助保金池",在山东省淄博市博山区试点推出了助保金贷款业务,开创了"政银企"三方合作融资的新模式。     

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.     

抵押瞀代机制与担保融资模式创新的有效性

本文在中小企业信贷市场抵押品决定模型的基础上构建信贷行为优化模型，推导实现抵押替代机制的条件。分析得出，通过引进有效的监督和违约控制手段，可以实现抵押替代功能，从而改善中小企业由抵押资产匮乏造成的融资困境。进一步，基于监督和违约控制这两种抵押替代机制，对山东省近年来主要的四类担保模式创新实践进行梳理和成效对比，探讨总结其创新中的核心和缺陷，验证与模型推导结论的一致性，据此提炼出有效担保模式的逻辑。     

Mortgage credit availability in low- and moderate-income minority neighborhoods: Are information externalities critical?

This study conducts a cross-sectional analysis of U.S. metropolitan counties to inquire into the factors affecting white and minority mortgage loan approval rates during 1990–1991. In particular, evidence is sought on whether minority loan applicants are denied credit more frequently than white applicants because of information externalities. Within each county, all predominantly minority, low- or moderate-income census tracts are groupted together, and then regression equations are estimated across counties and tract groupings. Separate approval rate equations are estimated for conventional and federally insured (FHA or VA) home purchase loans. In addition, a regression equation for the percentage of applicants applying for federally insured loans is estimated.Both approval rate regressions indicate that across white tract groupings, the depth of the housing market (the number of sales of owner-occupied units during 1989) has a positive and statistically significant effect on the loan approval rate, consistent with the view that information externalities affect mortgage loan evaluations. However, this relationship appears not to hold across minority tract groupings.     

Do Predatory Lending Laws Influence Mortgage Lending? An Analysis of the North Carolina Predatory Lending Law

In this paper, we examine the effect of the 1999 North Carolina predatory lending law on mortgage activity in that state as compared to other states in the Southeastern United States. Using 1998–2000 Home Mortgage Disclosure Act (HMDA) data, we find that the North Carolina law reduced the overall level of subprime mortgage lending activity. Furthermore, we find that the North Carolina decline was caused by a decline in loan application volume and not by a change in loan denial rates, suggesting less aggressive marketing in that state after the imposition of the law. Finally, the impact of the legislation was different by both the type of financial service provider and borrower. Specifically, non-bank subprime lending contracted faster in North Carolina when compared to the control group, while both minority and low-income applicants were also less likely to get loans following the legislation. These results have wide ranging policy implications given that several predatory lending proposals are currently before Congress, as well as proposed in almost forty other states.     

Borrower Misreporting and Loan Performance

Borrower misreporting is associated with seriously adverse loan outcomes. Significantly more residential mortgage borrowers reported personal assets just above round number thresholds than just below. Borrowers who reported above‐threshold assets were almost 25 percentage points more likely to become delinquent (mean delinquency was 20%). For applicants with unverified assets, the increase in delinquency was greater than 40 percentage points. Misreporting was most frequent in areas with low financial literacy or social capital. Incorporating behavioral cues such as threshold effects into a risk assessment model improves its ability to uncover delinquencies, though at a cost of mischaracterizing some safe loans.     

The closing rate on residential mortgage commitments: An econometric analysis

Mortgage lenders routinely guarantee rates and points for periods of 60 days or more and hedge the inherent interest rate risk by selling the proportion of mortgages expected to close in forward markets. This article presents a model of the decision to close on the mortgage and demonstrates that the estimates of the model increase the precision of closing rate forecasts. The analysis indicates that changes in mortgage rates are important determinants of the closing rate for fixed-rate mortgages (FRM) and adjustable-rate mortgages (ARM). Other important factors include whether the mortgage is for a new purchase, for owner occupancy, and for a single-family house, and what the overall level of mortgage rates and the loan-to-value ratio are and whether the rate guarantee was granted at the application date or later.     

Under the Lender’s Looking Glass

This paper studies the impact of bank monitoring on the risk of US equity REITs. Using a unique, hand-collected data sample of mortgage balances, I show that bank screening and monitoring of REIT assets via utilizing secured mortgage financing (vs unsecured, public debt) lowers the overall company risk of a REIT. At the asset level, screening results in retail and office assets with higher acquisition values and located in primary markets, i.e., more transparent assets, being pledged as collateral. Further, I find evidence consistent with the role of lender monitoring for secured mortgage loans and show that properties located in closer proximity to a REIT’s headquarters are more likely to be pledged as collateral for a mortgage.     

Phasing out the GSEs

We develop a new model of the mortgage market that emphasizes the role of the financial sector and the government. Risk tolerant savers act as intermediaries between risk averse depositors and impatient borrowers. Both borrowers and intermediaries can default. The government provides both mortgage guarantees and deposit insurance. Underpriced government mortgage guarantees lead to more and riskier mortgage originations and higher financial sector leverage. Mortgage crises occasionally turn into financial crises and government bailouts due to the fragility of the intermediaries’ balance sheets. Foreclosure crises beget fiscal uncertainty, further disrupting the optimal allocation of risk in the economy. Increasing the price of the mortgage guarantee “crowds in” the private sector, reduces financial fragility, leads to fewer but safer mortgages, lowers house prices, and raises mortgage and risk-free interest rates. Due to a more robust financial sector and less fiscal uncertainty, consumption smoothing improves and foreclosure rates fall. While borrowers are nearly indifferent to a world with or without mortgage guarantees, savers are substantially better off. While aggregate welfare increases, so does wealth inequality.     

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.     

Health uninsurance premium and mortgage interest rates

I show that lenders charge higher interest rates on mortgage-financed houses in areas with a higher rate of health uninsurance to protect themselves against a potential future bankruptcy of the borrower caused by health uninsurance. The health uninsurance premium is higher for applicants who are more likely to file for bankruptcy and for mortgage-financed houses in areas where there are greater benefits to obtaining insurance or where there is a higher percentage of uninsured people who cannot afford insurance. The premium is lower following the implementation of the requirement to have qualifying health insurance coverage under the Affordable Care Act.     

Posted rates and mortgage lending activity

In many metropolitan areas (MSAs) newspapers post mortgage terms for lenders in a manner designed to permit an easy comparison of discount points and note rates. Using these advertised rates for 73 lenders in three MSAs we examine 1) how applicants respond to short-run changes in relative rates, and 2) the relationship between the services provided and quality of applications received by lenders and their long-term market positions. We find that applicant flows increase when lenders lower their rates. We also find that persistent cross-lender differences in rates are associated with differences in product quality reflected in processing times, loan sales, and FHA/VA lending; and that high-risk borrowers tend to apply to lenders posting above-average rates.     

The effect of foreclosure laws on securitization: Evidence from U.S. states

A mortgage that defaults is more likely to enter foreclosure rather than renegotiation if it has been securitized in the private non-agency market, according to previous research. We study whether this foreclosure-propensity affects lenders’ securitization decision ex-ante. Due to the higher foreclosure probability, the value of a mortgage should be more sensitive to foreclosure costs if it is securitized. Comparing loans made in the same metropolitan area but under different foreclosure laws, we find that lenders are less likely to securitize mortgages in states with higher foreclosure costs, as measured by laws requiring judicial foreclosure. Two additional results are consistent with the proposed channel. First, the effect increases for loans with higher expected default rates and disappears for mortgage-like loans not subject to these laws. Second, the effect of judicial requirements increases for loans with higher expected default rates, consistent with differences in loss given default driving the results. Borrowers in states without judicial requirements also get riskier loans.     

Rejected stock exchange applicants

We examine listing applications by firms to the London Stock Exchange between 1891 and 1911. The exchange rejected 82 (13.1%) of the 628 applicants to its main board. Accepted applicants were twice as likely to pay dividends (and to pay twice as much) and had longer firm lives than rejected applicants. Rejected applicants were more likely to file for liquidation than successful applicants. These results remain even after we control for the primary benefits of the listing itself: liquidity and future capital inflows. In this era, the London Stock Exchange could screen applicants for listing.