Teaser rates in conventional adjustable-rate mortgage (ARM) markets

This article examines the pricing of teaser rates on adjustable-rate mortgages (ARMs). The theory indicates that lenders may offset teaser rates on ARMs through an increase in upfront fees or points, through looser life of loan rate caps, or through higher contract rates after the teaser has expired. Cross-sectional regression results fail to reject the null hypothesis that teaser ARMs are correctly priced.     

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.     

Estimating the marginal contribution of adjustable-rate mortgage selection to termination probabilities in a nested model

In this study we measure the marginal contribution of ARMs to termination probabilities. To do this we develop a modified nested-logit model of mortgage selection and termination and identify the role of risk aversity in the selection process. Simulations of termination probabilities under different economic scenarios indicate how ARMs decrease overall portfolio risk through declines in prepayment probabilities which more than offset the increases in default probabilities associated with them.     

Cointegration and causality in the Asian and emerging foreign exchange markets: Evidence from the 1990s financial crises

This article examines the cointegration level, changes in the existence and directions of causality of the foreign exchange (FX) rates in the Asian and emerging markets during the 1990s financial crises. Engle and Granger's simple bivariate and Johansen's multivariate cointegrations are applied to the FX rates for the 1994 Mexican, 1997 Asian, 1998 Russian, and 1999 Brazilian crises. In addition, the article conducts the Granger causality test and impulse response analysis to examine the causality pattern in all the FX rates. The analysis shows most of the pre-Mexican causality disappears and significant numbers of new causality emerge in the 1994 Mexican crisis while the 1997 Asian crisis generates significant spillover effects into the later part of the 1998 Russian and 1999 Brazilian crises.     

Strategic default,workout, and commercial mortgage valuation

This paper extends existing equilibrium commercial mortgage pricing models by endogenizing negotiated workout into the usual noncooperative lending game. Workout is a feasible subgame strategy for the lender to play whenever foreclosure transaction costs exist for either party to a loan transaction. In particular, negotiated workout solutions Pareto dominate the foreclosure alternative when default occurs. To obtain our results, we embed a cooperative bargaining game within a noncooperative mortgage loan/default game. We also address the valuation wedge problem that occurs when foreclosure transaction costs are introduced. Through the notion of replacement game equilibrium, we find symmetric mortgage pricing solutions that eliminate the valuation wedge and thus suggest that lending will occur in commercial real estate mortgage markets even when foreclosure transaction costs exist.     

Subprime mortgage funding and liquidity risk

In this article, we use actuarial methods to solve a nonlinear stochastic optimal liquidity risk management problem for subprime originators with deposit inflow rates and marketable securities allocation as controls. The main objective is to minimize liquidity risk in the form of funding and credit crunch risk in an incomplete market. In order to accomplish this, we construct a stochastic model that incorporates originator mortgage and deposit reference processes. Finally, numerical examples that illustrate the main modeling and optimization features of the article are provided.     

Econometric models of the Eleventh District Cost of Funds Index

The Eleventh District Cost of Funds Index (COFI) is a popular index for pricing adjustable-rate mortgages. COFI is calculated from the interest expenses incurred by thrifts when raising funds. It is a mixture of current and past interest rates on many different financial instruments. COFI can be modelled well with simple econometric models. Commonly used, simple COFI models are compared using a method developed by Hendry (1989). Some of these models, which appear to fit the data well, have nonrobust parameters, significant serial correlation, and heteroscedastic errors. These poorly specified models may lead to systematic mispricing of COFI mortgages. Once a robust econometric model is chose, the lagged adjustment of COFI to movements in interest rates can be incorporated into mortgage pricing models.     

On the valuation of reverse mortgage insurance

This article presents a closed-form formula for calculating the loan-to-value (LTV) ratio in an adjusted-rate reverse mortgage (RM) with a lump sum payment. Previous literatures consider the pricing of RM in a constant interest rate assumption and price it on fixed-rate loans. This paper successfully considers the dynamic of interest rate and the adjustable-rate RM simultaneously. This paper also considers the housing price shock into the valuation model. Assuming that house prices follow a jump diffusion process with a stochastic interest rate and that the loan interest rate is adjusted instantaneously according to the short rate, we demonstrate that the LTV ratio is independent of the term structure of interest rates. This argument holds even when housing prices follow a general process: an exponential Lévy process. In addition, the HECM (Home Equity Conversion Mortgage) program may be not sustainable, especially for a higher level of housing price volatility. Finally, when the loan interest rate is adjusted periodically according to the LIBOR rate, our finding reveals that the LTV ratio is insensitive to the parameters characterizing the CIR model.     

Modeling conventional residential mortgage refinancings

This article models fixed-rate mortgage refinancings and offers an empirical test of the model. The model relates the probability that a household prepays its residential mortgage to both financial and economic variables. The financial variables included in the model measure the value of the embedded call option present in conventional fixed-rate mortgage loans. The economic variables measure the household's propensity to prepay for housing consumption adjustment reasons. Our main empirical finding is that increased interst-rate volatility significantly decreases prepayment probability. In addition, we find some statistical evidence to support the hypothesis that prepayment rates increase with increases in household income, increases in household size, and vary by age of household head and regionally.     

Housing Price Bubbles in Hong Kong, Beijing and Shanghai: A Comparative Study

This study investigates whether there was a housing price bubble in Beijing and Shanghai in 2003. The existence of a bubble can be interpreted from (abnormal) interactions between housing prices and market fundamentals. This paper introduces an enhanced framework, with the combination of standard econometric methodologies: i.e., Granger causality tests and generalized impulse response analysis, and the reduced form of housing price determinants. A test case in Hong Kong, between 1990 and 2003, is included to test the reliability of our methods because Hong Kong has experienced the formation and bursting of a huge housing bubble around the year 1997. It is found that the pattern and magnitude of the estimated bubbles conform quite well to the discrepancies between the actual and predicted prices. Also, the findings suggest that there appeared a bubble in Shanghai in 2003, accounting for 22% of the housing price. By contrast, Beijing had no sign of a bubble in the same year. The bubble phenomenon, of course, should be taken with cautions. Nonetheless this study has laid the groundwork for further investigations in abnormal housing price phenomena in Mainland China.     

Home mortgage debt financing of nonhousing investments

Home mortgage debt is decomposed into a component that represents debt demand, derived from housing demand and a residual excess demand. This excess demand derives principally from the demand for nonhousing assets. An empirical model of the determinants of the demand for excess debt is specified and estimated using databases from the 1983 and 1986 Surveys of Consumer Finance. The estimations focus on evidence of linkages between debt demand and household preferences for illiquid risky assets, and on the substitutability of personal debt for mortgage debt. Positive linkages are found between household choices of investments in vacation homes, investment real estate, and closely held business and the demand for excess debt. However, personal debt and mortgage debt appear to have largely separate financing roles.     

我国保险业与经济增长关系的实证研究

为研究保险业和经济增长的关系,选取2001～2011年我国大陆30个省份(不含西藏)保险密度和人均GDP的面板数据,分别进行全国以及区域(东部、中部、西部地区)的保险业和经济增长之间的长期、短期及因果关系检验,分组计算经济增长对保险业发展的贡献度,得出如下结论:全国层面经济增长是保险业发展的重要因素,保险业发展又反过来促进了经济增长;区域层面经济增长和保险业发展之间的关系不一致,保险业发展与经济发展不协调。     

The Structural Relation Between Mortgage and Market Interest Rates

This paper analyzes the dynamic relationship between primary and secondary mortgage markets and the short-term and long-term market interest rates. Using a series of monthly data on fixed rate mortgage rates and GNMA rates, we explore the dependence and speed of adjustment in these primary and secondary mortgage rates to each other as well as to the long and short-term government rates. The results indicate that residential mortgage rates in general, appear to follow the long-term rate and are not very sensitive to movements in the short-term interest rate.     

Valuing and hedging fixed rate mortgage commitments

A fixed rate loan commitment that is binding on the lender but not on the loan applicant is equivalent to a put option. This article uses the Black-Scholes option pricing model to establish a value for fixed rate loan commitments and to derive the hedge ratio for the lending institution to hedge the interest rate risk associated with the commitments in the FHLMC forward market for mortgages. The effectiveness of the resulting hedge is tested in a simulation, where it is found that the result is a 71% reduction in the variance of the value of the lender's gain or loss associated with the commitment period.     

The ins and outs of mortgage debt during the housing boom and bust

From 1999 to 2013, U.S. mortgage debt doubled before contracting sharply. I estimate mortgage inflows and outflows that shed light on the sources of volatility. During the boom, inflows from real estate investors tripled, far outpacing other segments such as first-time homebuyers. During the bust, a collapse in inflows keyed the debt decline, while an expansion of outflows due to defaults played a more minor role. Inflow declines partly reflect a dramatic falloff in first-time homebuying, especially for low credit score individuals. Further analysis helps support the notion that the differential decline by credit score reflects markedly tightened credit supply.     

Dynamic linkages among real interest rates in international capital markets

Short-run and long-run dynamic linkages among weekly real interest rates for G-10 countries are examined using a variety of time-series tests. These tests give special attention to the time-series properties of nominal interest rates, ex-ante expected rates of inflation and real interest rates. Term structure information is used to recover a theoretically consistent measure of ex-ante expected inflation. In-sample and out-of-sample Granger causality tests are also examined to evaluate lead/lag relationships among real interest rates. The results provide strong support for well-integrated markets, particularly in the long run. The results imply leadership roles for the US in international asset markets.     

中国金融结构与产业结构关系研究

以我国1978～2011年金融结构与产业结构的关系作为研究对象,利用单位根检验、协整关系检验、误差修正模型以及格兰杰因果关系检验等方法,在理论分析的基础上,进行了模型的构造,找出二者之间的长期与短期关系。通过分析发现,二者互为因果,且存在稳定关系。但目前我国两种结构上还存在着滞后经济发展的问题,需要进行结构优化。     

Housing,mortgage bailout guarantees and the macro economy

What are the macroeconomic and distributional effects of government bailout guarantees for Government Sponsored Enterprises (e.g., Fannie Mae)? A model with heterogeneous, infinitely lived households and competitive housing and mortgage markets is constructed to evaluate this question. Households can default on their mortgages via foreclosure. The bailout guarantee is a tax-financed mortgage interest rate subsidy. Eliminating this subsidy leads to a large decline in mortgage origination and increases aggregate welfare by 0.5% in consumption equivalent variation, but has little effect on foreclosure rates and housing investment. The interest rate subsidy is a regressive policy: it hurts low-income and low-asset households.     

Mortgage Loan Rates and Deposit Costs: Are They Reliably Linked?

The deposit-cost markup theory of Jaffe and Rosens type suggests that the cost of attracting funds determines prices (mortgage loan rates). Other equally plausible theories argue for the reverse chain of events, whereby mortgage loan rates induce changes in the deposit interest rates. We investigate these alternative hypotheses over the monthly period 1970 to 1994 using causality and cointegration tests with allowances for possible structural breaks. The results from error-correction models indicate the presence of bidirectional causality between the mortgage loan rates and the deposit interest rates. The results further show that the two variables exhibit a strong cointegrating relationship and that several factors play an important role in determining both variables. Our findings underscore the need to continue with efforts to develop and test multivariate error-correction models for the joint determination of the mortgage loan rate and the deposit interest rate.