Information Externalities,Neighborhood Characteristics and Home Mortgage Pricing and Underwriting

Theories of rational redlining suggest thinness in housing markets should lead to greater uncertainty in house price appraisals, increasing mortgage denial rates or pricing. Empirical tests found support for this theory in mortgage underwriting using 1990s data. Using 2006 data and bank‐specific regression models, we revisit this topic in light of two developments leading to the recent mortgage bubble: the widespread securitization that allowed banks to shift loan risk to investors and the advent of risk‐based pricing. Consistent with expectations, we find that information externalities have become economically very small and have shifted from underwriting to pricing decisions.     

The Effect of Mortgage Rate Buydowns on Housing Prices:

The model developed in this paper analyzes the effect of builder-financed FHA-VA mortgage subsidies or buydowns on the price of housing. Hedonic pricing equations are estimated for a locationally and qualitatively uniform sample of new tract development homes. The explanatory variables are vectors of physical and financial characteristics. The latter include a continuous variable for discount points paid by builders which is indicative of the magnitude of prepaid finance charges. The results indicate that a substantial portion of mortgage subsidy costs are shifted to buyers in the form of inflated housing prices.     

Semivariance of Property Value Estimates as a Determinant of Default Risk

Standard practice in the residential mortgage underwriting industry is to estimate collateral values via independent appraisals conducted by third parties. This paper empirically examines the role of property value ( i.e. , appraisal) uncertainty as a determinant of default on residential mortgage loans. Based upon an analysis of 1,428 residential loans drawn from the portfolio of a national mortgage lender, we find evidence that semivariance in property value uncertainty is related to default risk. Specifically, subject properties that are valued above the sales price of recently sold "similar and proximate" properties show evidence of greater default risk. Interestingly, a variance (range) measure of property value uncertainty is not significantly related to default risk.     

The Borrower's Perceived Risk in Mortgage Choice

We investigate how borrowers perceive the risk in the adjustable rate mortgage (ARM) versus fixed rate mortgage (FRM) choice. We develop a mortgage choice model where the coefficient on the long‐term bond risk premium is conditional on the borrower's perceived risk. We show that the perceived risk fluctuates over time according to the short‐term interest rate level and housing market conditions. We find that when the short‐term rate level is high (low), the borrowers perceive low (high) risk of a short‐term rate rise, thus opting for ARMs (FRMs). Also, during a down housing market they become more risk‐averse perceiving higher risk in choosing ARMs. The perceived risk level alters the borrowers’ sensitivity to the long‐term bond risk premium.     

Refinancing Trends among Lower Income and Minority Homeowners during the Housing Boom and Bust

This article examines trends in mortgage refinancing activity during the housing boom and bust, with a focus on homeowners in lower income and minority market (LIMM) areas. Unlike any other period in recent history, during the boom LIMM homeowners refinanced their mortgages more frequently than non‐LIMM homeowners. This occurred primarily among borrowers for whom the refinance option was not in‐the‐money, and it is likely attributable to the concurrent growth of subprime, cash‐out refinancing. Following the 2007 mortgage market collapse, however, LIMM homeowners were less likely to refinance. This can be explained in part by systematic differences in home equity levels across borrowers.     

Government Policies,Residential Mortgage Defaults and the Boom and Bust Cycle of Housing Prices

We develop a micro‐based macromodel for residential home prices in an economy where defaults on residential mortgages negatively affect housing prices. Our model enables us to study the impact of subprime defaults on prime borrowers and the impact of various government policies on the housing market boom and bust cycle. In this regard, our key conclusions are that (i) there is a contagion effect from subprime defaults to prime defaults due to the negative impact of subprime defaults and (ii) monetary policy is the most effective tool for decreasing mortgage defaults and increasing aggregate home prices in contrast to alternative government fiscal policies designed to loosen mortgage credit.     

The Cost of Foreclosure Delay

We measure the cost of foreclosure delay by estimating time‐related foreclosure costs using a large national sample of residential mortgages before, during, and after the recent U.S. housing crisis. The large volume of foreclosures, coupled with an unprecedented series of government interventions in mortgage servicing practices, significantly extended foreclosure timelines during and after the crisis.  Costs were especially pronounced in judicial review states, which saw average foreclosure costs go up 15 percentage points, 24 percentage points in the highest cost state.  Cost increases of this magnitude are likely to have consequences for servicing practices and mortgage credit availability.     

Bankruptcy Exemption,Home Equity and Mortgage Credit

This article examines the impact of state bankruptcy homestead exemptions on mortgage application outcomes. The empirical analysis controls for endogeneity problems by focusing on 55 urban areas that cross state borders using the Home Mortgage Disclosure Act files from 2001 to 2008. The results indicate that holding the loan‐to‐value ratio constant, a more generous homestead exemption encourages borrowers to buy more housing and take out larger mortgages. However, holding house value constant, a more generous homestead exemption discourages mortgage borrowing and results in more home equity. Moreover, benefits of the homestead exemption outweigh the costs of it to mortgage lenders.     

Are Investors the Bad Guys? Tenure and Neighborhood Stability in Chelsea,Massachusetts

In this article, we examine the role of investors and occupant‐owners in an urban context during the recent housing crisis. We focus on Chelsea, Massachusetts, because it is a dense city, dominated by multifamily housing structures with high rates of foreclosure for which we have particularly good data. We distinguish between occupant‐owners and investors using local data, and we find that many investors are misclassified as occupant‐owners in the Home Mortgage Disclosure Act data. Then, employing a competing risks framework to study ownerships during the period 1998 through mid‐2010, we find that local investors, who tend to invest more in relation to purchase prices and sell more quickly, experienced approximately 1.8 times the mortgage foreclosure risk of occupant‐owners, conditional on financing. Nonlocal investors have no statistically significant difference in foreclosure risk from occupant‐owners. Nonetheless, those owners with subprime purchase mortgages (most of whom are occupant‐owners) faced the highest foreclosure risk when house prices fell.     

Unobservable Risks in Mortgage Contract Choice

This study proposes a lifetime utility maximization model where borrowers choose optimal mortgage bundles including mortgage type, loan‐to‐value and loan size to maximize their allocation of limited budgets between housing and nonhousing consumptions. The model predicts that the mortgage bundle choices by borrowers of different income and risk attributes explain significant variations in the ex post default risks of the borrowers. The empirical tests using sampled mortgages pooled in nonagency residential mortgage backed securities support the hypothesis that the optimal choice of mortgage bundles reveals hidden risk factors of borrowers, which, if ignored, could lead to misjudgment of ex post default of borrowers.     

Housing Price Dynamics,Mortgage Credit and Reverse Mortgage Demand: Theory and Empirical Evidence

This article presents some theoretical and empirical approaches for identifying interactions among fundamental economic variables that determine housing prices. Using home equity conversion mortgage (HECM) loan‐level data, this study quantifies the major risks of reverse mortgages and shows that higher housing prices induce higher demand for reverse mortgages among elderly homeowners. Senior citizens rationally hold pessimistic expectations about future housing price appreciation and lock in their home‐equity gains by obtaining reverse mortgages, which in turn led to the substantial HECM growth prior to the financial crisis of 2008. A novel simulation also forecasts HECM loans under various economic scenarios. From a mortgage credit perspective, these findings generate several policy implications for the implementation of “HECM 3.0.”     

Market Conditions and Housing Choices: A Comparison of Homeownership Across Three Decades

This article uses information on out‐of‐pocket housing cost and house price appreciation along with the geo‐coded version of the Panel Study of Income Dynamics to consider the differences in the impact of these and other variables on the tenure choices of sample households across three time periods, the 1970s, the 1980s and the 1990s. Specifically, an extended continuous time probability model is used to examine households' transitions from renting to owning and subsequent possible transitions either back to rental tenure or to another owned home during our three observation periods. Coefficient estimates show that financial variables such as house price appreciation and out‐of‐pocket housing cost play an important role in determining all the transitions. In addition, the analysis demonstrates the interesting result that the cumulative likelihoods of homeownership derived from the model are consistently lower than the probabilities of an initial transition to homeownership from rental tenure during the observation period. Finally, the magnitude and timing of the impact on homeownership of a policy experiment that eliminates the mortgage interest deduction are shown to differ substantially across the three decades.     

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.     

A Tale of Two Tensions: Balancing Access to Credit and Credit Risk in Mortgage Underwriting

Over the years 2000–2007, mortgage market underwriting conditions eased in response to public policy demands for increased homeownership. This easing of acceptable credit risk in order to accommodate increased access to credit, when coupled with the unanticipated house price declines during the Great Recession, resulted in substantial increases in delinquencies and foreclosures. The response to this mortgage market crisis led to myriad changes in the industry, including tightened underwriting standards and new market regulations. The result is a growing concern that credit standards are now too tight, restricting the recovery of the housing market. Faced with this history, policy analysts, regulators and industry participants have been forced to consider how best to balance the tension inherent in managing mortgage credit risk without unduly restricting access to credit. Our research is unique in providing explicit consideration of this trade‐off in the context of mortgage underwriting. Using recent mortgage market data, we explore whether modern automated underwriting systems (AUS) can be used to extend credit to borrowers responsibly, with a particular focus on target populations that include minorities and those with low and moderate incomes. We find that modern AUS do offer a potentially valuable tool for balancing the tensions of extending credit at acceptable risks, either by using scorecards that mix through‐the‐cycle and stress scorecard approaches or by adjusting the cutpoint—more relaxed cutpoints allow for higher levels of default while providing more access, tighter cutpoints accept fewer borrowers while allowing less credit risk.     

Mortgage Borrower Repayment Behavior: A Microeconomic Analysis with Canadian Adjustable Rate Mortgage Data

In this paper we estimate a model of mortgage borrower behavior using micro-level data on Canadian borrowers with rollover mortgages—a form of adjustable-rate mortgage. Our results suggest that the probability of default rises with a decrease in housing equity and an increase in the mortgage contract rate; however the size of these changes is relatively small. They also show that partial prepayment is sensitive to fluctuations in the rates of return from investing in housing versus other assets. For the United States experience, our results suggest that, relative to fixed-rate mortgage borrowers, adjustable-rate mortgage borrowers are more likely to default and less likely to prepay.     

Long‐Term Growth in Housing Prices and Stock Returns

A firm's long‐term stock returns are negatively related to past growth in housing prices in the state where the firm is located. The housing price effect is persistent and robust to controlling for the long‐term stock return reversal effect, changes in mortgage interest rates across the states, cyclicality in housing prices and overall local economic conditions. There is no evidence that extant asset pricing models can adequately explain the effect. The study discusses potential explanations for, and the implications of, the cross‐regional housing price effect.     

Reversing the Trend: The Recent Expansion of the Reverse Mortgage Market

Reverse mortgages allow elderly homeowners to tap into their housing wealth without having to sell or move out of their homes. However, very few eligible homeowners used reverse mortgages to achieve consumption smoothing until recently, when the reverse mortgage market in the United States witnessed substantial growth. In this article, I examine 1989–2007 loan‐level reverse mortgage data and conduct three sets of analyses to better understand the demand for reverse mortgages among elderly homeowners. First, I study the ZIP code characteristics correlated with reverse mortgage originations. Second, I show that recent reverse mortgage borrowers are significantly different from earlier borrowers in many respects. Third, I investigate the reasons why the reverse mortgage market experienced substantial growth in the mid‐2000s. Combining the reverse mortgage data with county‐level house price data, I find that higher house prices lead to more reverse mortgage originations. Specifically, the increases in house prices account for about one‐third of the overall growth in the reverse mortgage market from 2003 to 2007.     

住房按揭贷款风险分析及防范

住房按揭贷款自开办以来，已初具规模。在实际运作中其风险仍无处不在，尤其是在“安全性”上存在着政策、市场、银行、抵押物等风险。要实现住房贷款的可持续发展，必须进行风险防范。章在分析当前住房按揭贷款风险的基础上，提出了几点防范措施。     

建立住房抵押贷款保险制度促进房地产市场的发展

文章针对目前国内个人住房消费的现状,对现行的 押贷款体系中存在的问题进行了分析丐研究,提出了相应的对策,即建立住房抵押贷款保险制度。借鉴国际上发达国家的做法,通过保险分散抵押代款的风险,完善社会保障体系,促进个人住房抵押贷款的良性发展,进而房地产市场的健康发展。     

How Subprime Borrowers and Mortgage Brokers Shared the Pie

We develop an equilibrium model for origination fees charged by mortgage brokers and show how the equilibrium fee distribution depends on borrowers' valuation for their loans and their information about fees. We use noncrossing quantile regressions and data from a large subprime lender to estimate conditional fee distributions. Given the fee distribution, we identify the distributions of borrower valuations and informedness. The level of informedness is higher for larger loans and in better educated neighborhoods. We quantify the fraction of the surplus from the mortgage that goes to the broker, and how it decreases as the borrower becomes more informed.