Efficiency in the Mortgage Market: The Borrower's Perspective

This paper uses mortgage history data from the Federal Home Loan Mortgage Corporation to analyze the prepayment behavior of homeowners and to test whether borrowers exercise their prepayment options in a manner consistent with contingent claims models. A variety of hazard models are estimated from individual data on more than 6000 mortgages issued during the 1976–1980 period. In these models, it is clear that the extent to which the prepayment option is "in the money" has a strong effect on behavior. However, it is less clear that the option is exercised quite as ruthlessly as the theory predicts.     

Pricing Mortgage Originations

The general structure of observed mortgage loan contracts and the structure of firms in the industry can be explained in terms of competitive markets and rational expectations. It is not necessary to invoke disequilibrium, credit-rationing theories. Collateralization, covenants, downpayments, and other noninterest rate provisions in loan contracts are efficient mechanisms to control the conflict of interest between the borrower and lender. Finally, there are constraints lenders place on the range of contractual provisions offered because of interdependencies in payoffs across contracts and the costs they face associated with insolvency.     

Pricing Private Mortgage Insurance

Issues involved in an evaluation of the price of private mortgage insurance are discussed. Cost considerations are emphasized as long-run equilibrium competitive market prices equal long-run marginal and average cost. An empirical evaluation of current insurance premiums vis-a-vis competitive market norms requires more empirical information on the determinants of foreclosures, especially the links between micro and macro determinants. Option pricing models suggest other data comparisons that also may shed light on an evaluation of insurance premiums.     

Self-Selection in the Fixed-Rate Mortgage Market

This paper analyzes the effect of information asymmetry between the lender and the borrower (i.e., the borrower knows how long he will reside in his home, whereas the lender does not) on the borrower's choice among the interest rate-discount points combinations available in the fixed-rate mortgage market. The analysis shows that if the rate-points trade-off of the mortgage menu is either too steep or too flat, then all types of borrowers will choose the same loan contract from the menu. In addition, if the rate-points trade-off is not convex to the origin, then only the contracts with extreme rate-points combinations will be chosen by borrowers; all contracts with intermediate rate-points combinations are redundant and will not be chosen by any borrowers. Intermediate rate-points combination mortgage contracts would be chosen by some borrowers only if the mortgage menu were to provide a self-selection function. Several necessary conditions of a self-selection mortgage menu are depicted.     

Mortgage Pricing: Some Provisional Empirical Results

We test some of the qualitative properties of mortgage pricing models. The models use option pricing techniques, focusing on prepayment as a call option. They imply a quite nonlinear relationship between mortgage price and coupon, interest rates and volatility. We test for both the first and second derivatives of the effects of these variables using data on Ginnie Mae mortgage backed securities. We find that the model is largely supported by the data.     

Dynamic Credit Rationing in the Home Mortgage Market

In this study a model of dynamic credit rationing in the home mortgage market by a profit-maximizing financial institution is developed.
In the 1960s and 1970s it was widely believed that credit rationing was very important in the mortgage market. The recent deregulation and innovation in financial markets is belived to have resulted in a significant weakening of these availability effects. For the model developed it is shown that deposit diversification, such as the introduction of money market accounts in 1978, would tend to reduce the amount of any dynamic credit rationing that was occurring.     

Commercial Mortgage Pricing with Unobservable Borrower Default Costs

This paper develops a pricing model for commercial real estate mortgage debt that recognizes the influence of default transaction costs on the borrower's default decision. These costs are heterogeneous across borrowers and largely un-observable to the lender/investor at the time of origination or loan purchase. A recognition of these unobservable costs can explain why borrower default decisions may differ from those predicted by "ruthless" mortgage-default pricing models. We address the determinants of default choice and timing by replacing sharp default boundaries found in the ruthless models with "fuzzy" boundaries that account for investor uncertainty with respect to evaluating borrower default decisions. To implement our model, we estimate probabilities of default as a junction of time and net equity in the property. Then, given that default occurs, loss severities are modeled based on expected property value recovery net of foreclosure costs and time until the asset is actually sold. Under reasonable parameter value choices, resulting Monte Carlo simulations produce numerical mortgage price estimates as well as component default frequency and severity levels that realistically reflect default premiums and loss levels observed in the marketplace.     

Taxes, Points and Rationality in the Mortgage Market

This paper addresses the issue of why discount points exist in the mortgage market. In the process of resolving these questions, a number of insights into the mortgage market are achieved. An important principle is that changes in loan structure due to points, prepayments or other deviations in the typical mortgage have no impact on the competitive rate of return. Thus, the essential role of points is not to raise the effective rate of return nor are they the purchase price a risk-averter desires for an option to prepay. Instead it is taxes that play the critical role.     

FHA Terminations: A Prelude to Rational Mortgage Pricing

Recent models of pricing mortgages and/or mortgage insurance have used option-pricing models as their framework. The focus is usually on default, which is viewed as a put option (to sell the house to the lender in exchange for the mortgage) and prepayment, which is viewed as a call option (to buy the mortgage from the lender). Analysis then uses techniques like those used to price options in capital markets. Unfortunately, homeowners do not seem to exercise their option as quickly as do traders in organized markets. We estimate prepayment and default functions, which are meant to be a first step in developing modified, option-based models of mortgage pricing.     

An Empirical Investigation of the Contingent-Claims Approach to Pricing Residential Mortgage Debt

Despite the growth of theoretical mortgage-pricing research, few empirical tests have been published. The primary objective of this paper is to provide an empirical test of the contingent-claims approach to pricing residential mortgages. This is accomplished by examining the differences between contract mortgage rates generated by the theoretical contingent-claims model and corresponding actual rates observed for 121 consecutive months from January 1981 through January 1991. We find that the contingent-claims model produces an unbiased prediction of changes in actual rates.     

Illiquidity and Pricing Biases in the Real Estate Market

This article addresses the micro-analytic foundations of illiquidity and price dynamics in the real estate market by integrating modern portfolio theory with models describing the real estate transaction process. Based on the notion that real estate is a heterogeneous good that is traded in decentralized markets and that transactions in these markets are often characterized by costly searches, we argue that the most important aspects defining real estate illiquidity in both residential and commercial markets are the time required for sale and the uncertainty of the marketing period. These aspects provide two sources of bias in the commonly adopted methods of real estate valuation, which are based solely on the prices of sold properties and implicitly assume immediate execution. We demonstrate that estimated returns must be biased upward and risks downward. These biases can be significant, especially when the marketing period is highly uncertain relative to the holding period. We also find that real estate risk is closely related to investors' time horizons, specifically that real estate risk decreases when the holding period increases. These results are consistent with the conventional wisdom that real estate is more favorable to long-term investors than to short-term investors. They also provide a theoretical foundation for the recent econometric literature, which finds evidence of smoothing of real estate returns. Our findings help explain the apparent risk-premium puzzle in real estate—that is, that ex post returns appear too high, given their apparent low volatility—and can lead to the formal derivation of adjustments that can define real estate's proper role in the mixed-asset portfolio.     

房地产抵押贷款二级市场初探

目前我国房地产抵押贷款金融机构中存在着抵押贷款资金缺乏，抵押风险大的两大问题，针对这一问题笔认为尽快建立房地产抵押贷款二级市场是解决上述两个问题的关键，本论述了二级市场在解决上述两个问题中所发挥的作用，以及建立房地产抵押贷款二级市场需要的条件。     

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 Dynamics of REIT Pricing Efficiency

We study the dynamics of pricing efficiency in the equity REIT market from 1993 to 2014. We measure pricing efficiency at the firm level using variance ratios calculated from quote midpoints in the TAQ database. We find four main results. First, on average, the market is efficient, with variance ratios close to one. However, in any given year, there is considerable cross‐sectional variation in variance ratios, suggesting at least some firms are priced inefficiently. Second, higher institutional ownership by active institutional investors is related to better pricing efficiency, while passive ownership does not reduce pricing efficiency. Third, REITs that are included in the S&P 500 and S&P 400 are priced more efficiently than other REITs. For the S&P 500 firms, we find evidence that this was purely driven by sample selection, while for S&P 400 firms, we find evidence that it is inclusion in the index that drives efficiency. Finally, we find evidence that firm investment, analyst coverage and debt capital raising activity can influence pricing efficiency.     

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.     

电力市场中可中断电价机制设计

推行需求例管理需落实到制定合理的电价机制。研究了目前国内电力紧缺形势下的可中断电价,借鉴国内外已有的可中断电价体系,对目前电力经济形势下的可中断电价机制进行创新。规范了可中断电价含义,通过推算折扣或合理补偿电价2种计价方式,设计合理的电价优惠计算方法,从而进一步完善可中断电价机制的设计。通过对上海市可中断电价进行案例分析,为上海市未来可中断电价实施提供理论支撑。     

Mortgage Pricing: What Have We Learned So Far?†

Much progress has been achieved in the valuation of call options and mortgages. Preliminary evidence suggests that the observed term structure of interest rates (the full structure, not just the end-points) and a reasonable estimate of the volatility of spot rates is sufficient for pricing purposes. Knowledge of the precise nature of the interest-rate process and the exact market price of interest-rate risk, the not-well-identified determinants of the term structure, are not necessary for pricing. Moreover, the number of interest-rate state variables is also of little import, again holding the term structure and rate volatility constant.     

关于房贷利率上调对房地产市场影响的几点分析

本文在2006年4月28日央行出台新的住房贷款利率政策以控制目前房地产市场过热现象的背景下,对房地产政策加以分析。通过对以往政策的回顾和新出台的以金融手段抑制需求的政策的分析,得出长期控制房地产市场过热问题的关键是控制供给政策和控制需求政策的配套运用。     

关矛房贷利率上调对房地产市场影响的几点分析

本文在2006年4月28日央行出台新的住房贷款利率政策以控制目前房地产市场过热现象的背景下，对房地产政策加以分析。通过对以往政策的回顾和新出台的以金融手段抑制需求的政策的分析，得出长期控制房地产市场过热问题的关键是控制供给政策和控制需求政策的配套运用。     

Regressive Interest Rate Expectations and Mortgage Instrument Choice in the United Kingdom Housing Market

The paper considers the choice of mortgage instrument when the rate of interest is fixed for a short duration, with reversion to a variable (bullet) rate mortgage contract. The research is the first direct test for regressive interest rate expectations using United Kingdom data while testing for wealth and portfolio effects. The econometric modeling uses a variety of nonparametric and parametric techniques to control for classification error in the dependent variable. There is evidence that households adopt regressive interest rate expectations. The lack of statistical significance of wealth and portfolio effects confirms the short run cash flow perspective of United Kingdom mortgage choices.