Inferring Price Information from Mortgage Payment Behavior: a Latent Index Approach

Existing price indices are based on real estate sales. This approach encounters problems when (1) sales are infrequent or (2) when these differ systematically from the overall market (selection bias). Relative to the number of properties sold on the market, a much greater number of properties have borrowers who need to make monthly mortgage payment decisions. Therefore, each month borrowers cast a vote of confidence or no confidence in their price relative to the loan balance. Based on this behavior, we invert the relation between mortgage performance and prices to derive a latent price index. Using a large sample of individual mortgages across the 10 cities investigated, the latent index in each city has a high correlation with the respective Case-Shiller index. In addition, the latent index is partially explained by the housing expectations (derived from futures on the respective Case-Shiller index) which indicates that it is not a purely reactive measure. Overall the results show that the latent index has potential to boost information resources for tracking the important real estate sector.     

A Prepayment Model for the Japanese Mortgage Loan Market: Prepayment-Type-Specific Parametric Model Approach

This paper proposes a framework for construction of a prepayment model suitedto the Japanese mortgage loan market and assesses the validity of thisframework based on an empirical analysis using data from Japan. In thisframework, a model is constructed for each of three prepayment types, namely,`full prepayment', `partial prepayment', and `subrogation', using a parametricproportional hazards model, which was also employed by Schwartz and Torous(1989). Combining these three types of models allows one to take into accountthe effects of partial prepayments, which are frequently used in the Japanesemortgage market, and to simultaneously construct a model for both prepaymentand default. Time-dependent (path-dependent) covariates are introduced intothe model, which are estimated by the maximum likelihood method based on thefull likelihood that takes into account the time-dependence of the covariates.Results of the empirical analysis indicate that the hazard functions differsubstantially depending on the prepayment type. In addition, results indicatethat the fit of the model can be improved by the distinction of prepaymenttypes and the introduction of the market interest rates as path-dependentcovariates.     

A Model of Mortgage Default

In this paper, we solve a dynamic model of households' mortgage decisions incorporating labor income, house price, inflation, and interest rate risk. Using a zero‐profit condition for mortgage lenders, we solve for equilibrium mortgage rates given borrower characteristics and optimal decisions. The model quantifies the effects of adjustable versus fixed mortgage rates, loan‐to‐value ratios, and mortgage affordability measures on mortgage premia and default. Mortgage selection by heterogeneous borrowers helps explain the higher default rates on adjustable‐rate mortgages during the recent U.S. housing downturn, and the variation in mortgage premia with the level of interest rates.     

Optimal Reciprocal Reinsurance Treaties Under the Joint Survival Probability and the Joint Profitable Probability

A reinsurance treaty involves two parties, an insurer and a reinsurer. The two parties have conflicting interests. Most existing optimal reinsurance treaties only consider the interest of one party. In this article, we consider the interests of both insurers and reinsurers and study the joint survival and profitable probabilities of insurers and reinsurers. We design the optimal reinsurance contracts that maximize the joint survival probability and the joint profitable probability. We first establish sufficient and necessary conditions for the existence of the optimal reinsurance retentions for the quota‐share reinsurance and the stop‐loss reinsurance under expected value reinsurance premium principle. We then derive sufficient conditions for the existence of the optimal reinsurance treaties in a wide class of reinsurance policies and under a general reinsurance premium principle. These conditions enable one to design optimal reinsurance contracts in different forms and under different premium principles. As applications, we design an optimal reinsurance contract in the form of a quota‐share reinsurance under the variance principle and an optimal reinsurance treaty in the form of a limited stop‐loss reinsurance under the expected value principle.     

林权抵押贷款探索模式综述——兼论林权改革的亮点、难点与基点

作为第三次林权改革的核心,林权抵押贷款在探索实践中涌现出福建永安、浙江丽水、辽宁宽甸等改革典范,彰显了一种全新的治理框架,实现了包括治理主体、治理工具、治理方式以及治理效果的金融服务创新。作为一个全新的事物,林权抵押贷款当下面临一系列制约屏障,基于此,本文提出了林权抵押贷款可持续发展的制度之解。     

Factors Affecting the Probability of Bankruptcy: A Managerial Decision Based Approach

The majority of classification models developed have used a pool of financial ratios combined with statistical variable selection techniques to maximize the accuracy of the classifier constructed. Rather than follow this approach, this article seeks to provide an explicit economic basis for the selection of variables for inclusion in bankruptcy models. This search to develop an economic theory of bankruptcy augments the existing bankruptcy prediction literature. Variables which occur in bankruptcy probability expressions derived from the solution of a stochastic optimizing model of firm behaviour are 'proxied' by variables constructed from financial statement data. The random nature of the lifetime of a single firm provides the rationale for the use of duration or hazard-based statistical methods in the validation of the derived bankruptcy probability expressions. Results of the validation exercise confirm that the majority of variables included in the empirical hazard formulation behave in a way that is consistent with the model of the firm. The results highlight the need for developments in the measurement of earnings dispersion.     

Commercial Mortgage Workout Strategy and Conditional Default Probability: Evidence from Special Serviced CMBS Loans

This study recognizes that commercial mortgage default is not a one-step process and examines a previously under explored aspect in the whole default process, that is the stage between the initial delinquency and default. We distinguish the servicers’ behavior from the borrowers’ behavior. A multinomial logit model is applied to analyze the servicers’ choice of workout options and a proportional hazard model is applied to analyze the borrower’s default decision-making process under time-varying conditions. We find that cash flow condition is the most significant factor in the servicers’ decision making process. We also find that borrowers make default decisions based upon both the equity position in the mortgage and the cash flow condition in the space market. Key real estate space market variables, such as market-level vacancy rates, also provide useful information in explaining commercial mortgage defaults. We find that special service seems to be successful in reducing the probability that a troubled loan will default. Finally, sensitivity analysis shows nontrivial economic significance of the impact of explanatory variables, real estate market variables in particular have the most significant impact on the pricing of special-serviced loans.     

An Analysis of Mortgage Termination Risks: A Shared Frailty Approach with MSA-Level Random Effects

Investigating the residential mortgage defaults and prepayments has been the subject of research for the past three decades. The literature on mortgage default and prepayment is often used to inform credit risk policies and asset pricing strategies. This literature has evolved from the use of logistic regressions to the use of survival and frailty models that control for unobserved heterogeneity. In this paper, we apply a shared-frailty survival model to analyze the mortgage termination risks. In particular, we investigate whether mortgages originated in the same Metropolitan Statistical Area (MSA) share common unobserved factors and how these factors affect the mortgage termination risks. The paper demonstrates that MSA-level frailty, together with other risk factors, has significant effects on the probability of mortgage terminations risks.     

Mortgage Lending, Race, and Model Specification

This study examines the role of race in home mortgage lending by investigating the sensitivity of race estimates to variations in model specification. I compare parameter estimates based on a statistical model utilized by the Federal Reserve Bank of Boston, using a subset of the data that corresponds to FDIC-supervised institutions, with estimates obtained from several alternative variations specified to reflect information obtained from reviews of the mortgage loan application files. Estimates of the race effect are shown to be highly sensitive to the assumptions that underlie the model; minor modifications in model specification are sufficient to eliminate the race effect. The empirical results suggest that the statistical models used to evaluate the impact of race in mortgage lending may not provide reliable information about lending bias.     

Financial Development and Intersectoral Allocation: A New Approach

This paper uses a new methodology based on industry comovement to examine the role of financial market development in intersectoral allocation. Based on the assumption that there exist common global shocks to growth opportunities, we hypothesize that country pairs should have correlated patterns of sectoral growth if they are able to respond to these shocks. Consistent with financial markets promoting responsiveness to shocks, countries have more highly correlated growth rates across sectors when both countries have well‐developed financial markets. This effect is stronger between country pairs at similar levels of economic development, which are more likely to experience similar growth shocks.     

商业银行内部评级法的违约概率预测新方法——基于二值响应面板数据模型的研究

违约概率(PD)的计量是商业银行内部评级体系的基础,它对整个内部评级体系的效果有根本性的影响.目前各种违约概率计量方法最大的缺陷是忽略了时间效应的影响.本文提出的含随机截距项的二值响应面板数据模型是对现有各种方法的深入和完善.首先,它成功地将二值响应模型融合在面板数据分析中;其次,它特别考虑了因为观测时间不同而产生的时间效应,依此在模型中加入了随机截距项.实证结果表明,这一方法具有更好的解释能力和预测效果,是银行业进行内部评级工作理想的模型,因此具有很强的理论价值和实践意义.     

A Proportional Hazards Model of Commercial Mortgage Default with Originator Bias

A proportional hazards model with competing risks is specified and is extended to correct for the possibility of originator bias. The model is used to examine the ability of option-theoretic models of mortgage pricing to forecast commercial mortgage defaults. Among the findings, those especially of interest include the influence of contemporaneous loan-to-value and debt-service-coverage ratios on commercial mortgage default probabilities. The paper also finds that option-theoretic models of mortgage pricing are quite capable of producing default estimates that fit the actual default rates well, especially when the model is corrected for originator bias.     

Product Costing and Inventory Accounting: A New Approach to an Old Problem

Traditional methods of accounting—including full-absorption accounting, labor and cost standards, overhead allocations, and variance analysis–can stand in the way of attempts by managers and others to improve their company's overall performance and the ability to compete globally. Many companies have recognized the need to shift the role of accounting toward higher-value, more strategic tasks, such as financial and operational analysis, tactical decision support, and even process improvement and reengineering. But the accounting tools at their disposal often prove inadequate. In fact, there is a core conflict between the need to provide accurate and consistent financial reports for external consumption–reports that comply in all respects with GAAP, Sarbanes-Oxley, SEC requirements, and the like–and the need for value-relevant and informative reports for internal management purposes.
The author proposes using multiple sets of financial reports, all deriving from a single, common database, to meet external reporting requirements while addressing the distortions and limitations of GAAP for internal purposes. In particular, he has developed a new approach called Value Added Accounting that eliminates the distortions of full-absorption accounting but that uses GAAP financial statements as its starting point. The article describes the key adjustments, presents a case study, and discusses how VAA aligns with Lean Manufacturing, Quick Response Manufacturing, Just-In-Time, and other common process improvement initiatives.     

Discrimination and Mortgage Lending in Boston: The Effects of Model Uncertainty

In 1992 the Federal Reserve Bank of Boston conducted an analysis that examined the effects of race on mortgage lending in the Boston Metropolitan Statistical Area. Collecting data on all the possibly relevant information used in the lending process, they find when controlling for a subset of this information that race has a statistically significant effect on the decision to reject a mortgage application. Other researchers, using the same dataset, have shown that analysis of alternative subsets of the variables significantly reduces the effects of race. While theory should guide variable selection, there is often no unique theory to explain social science. In such cases, uncertainty in model specification causes one to be uncertain as to the true effects of the variables of interest. This paper accounts for the effects of model uncertainty by using Bayesian model averaging and finds a reduced effect of race and weakened evidence concerning the statistical significance of the effect.     

一种以房养老的贷款方式 :住房反抵押贷款

反抵押贷款最早起源于美国，在最近几年得到了飞速发展。它是居民以自有产权的住房作为抵押，定期向金融机构取得的主要用于养老费用的贷款。反抵押贷款将不动产转化为流动资产，对于改善老年人的生活质量起到了很大的作用。     

欧洲按揭贷款证券化（上）——写给评估师

一、引言上世纪六十年代,美国政府为了扩大住房按揭贷款融资采取了一项公共政策,即资产证券化。而资产证券化进入欧洲是在上世纪九十年代初,发行量和交易量直到1997/98年才有显著增加,但与资产证券化国际市场7万亿美元的交易量相比,欧洲资产证券化市场规模仍属于中等水平。计算过去五年的总发行量,欧洲资产证券化市场总额约为5500亿欧元,占不到全球市场10%的份额。资产证券化可以这样定义:将贷款、应收账款以及其他金融资产组合起来,并用它们所产生的现金流或经济价值去支持相关证券的支付。发行商发行“有资产担保的证券”(A B S),出售给…     

Reverse Mortgage Loans: A Quantitative Analysis

Reverse mortgage loans (RMLs) allow older homeowners to borrow against housing wealth without moving. Despite rapid growth in this market, only 1.9% of eligible homeowners had RMLs in 2013. In this paper, we analyze reverse mortgages in a calibrated life‐cycle model of retirement. The average welfare gain from RMLs is $252 per homeowner, and $1,770 per RML borrower. Bequest motives, uncertainty about health and expenses, and loan costs account for low demand. According to the model, the Great Recession's impact differs across age, income, and wealth distributions, with a threefold increase in RML demand for lowest income and oldest households.