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 Relationship between Median and Constant Quality House Prices: Implications for Setting FHA Loan Limits

This paper examines the relationship between the asset price of housing and median sales price. We demonstrate: (1) median house prices (as reported by the National Association of Realtors) overstate the increase in constant-quality house prices by about 2% per year over the 1976–1985 period; and (2) regional differences in median house prices and their rates of increase, respectively, are systematically related to regional differences in real incomes and their rates of increase. We use these results to evaluate the recent proposal to raise the FHA maximum loan limit ceiling from the current ceiling of $124,750 to 95% of the area median house price.     

Listing Price, Time on Market, and Ultimate Selling Price: Causes and Effects of Listing Price Changes

Information about price changes during a home's marketing period is typically missing from data used to investigate the listing price, selling price, and selling time relationship. This paper incorporates price revision information into the study of this relationship. Using a maximum-likelihood probit model, we examine the determinants of list price changes and find evidence consistent with the theory of pricing behavior under demand uncertainty. Homes most likely to undergo list price changes are those with high initial markups and vacant homes, while homes with unusual features are the least likely to experience a price revision. We also explore the impact of missing price change information on estimating a representative model of house price and market time. Our results suggest that mispricing the home in the initial listing is costly to the seller in both time and money. Homes with large percentage changes in list price take longer to sell and ultimately sell at lower prices.     

The Adjustable Balance Mortgage: Reducing the Value of the Put

We propose a new mortgage contract that endogenously captures the risk of house price declines to minimize default risk resulting from changes in the underlying asset value while still retaining contract rates near the cost of a standard fixed‐rate mortgage. By reducing the role of the legal system in mitigating house price risk, the new mortgage reduces the negative externalities and social costs arising from defaults. In other words, the new mortgage minimizes the need to use the legal foreclosure system to deal with the economic risk of house price declines.     

Risk and Return to Housing, Tenure Choice and the Value of Housing in an Asset Pricing Context

Homeowners do not diversify their risky home equity because of fixed costs of issuing securities and information costs. An asset pricing model is developed for homeowners with the undiversifiable home equity asset. Homeowner value and house value to diversified landlords are compared, and a tenure choice equation is developed. We demonstrate the existence of a rational expectations equilibrium under appropriate conditions.     

House Search Duration in Hot and Cold Residential Markets

This study analyzes the determinants of house search duration of consumption‐driven buyers and individual investors in different housing market environments. We use data from surveys of recent house‐buyers in “hot” and “cold” housing markets in the 2000s housing bubble in California characterized by rising and declining residential house prices, respectively. The average house price and the surveyed geographical area are the same for both periods. Expected house ownership horizon is shown to be an important determinant of the realized search duration in addition to commonly considered housing and buyer characteristics. We find a statistically significant positive effect of it on the time until purchase in both housing price environments for consumption‐driven buyers. We also find that consumption‐driven house purchases were highly pronounced in coastal areas in the hot market and inland areas in the cold market. In contrast, long‐horizon investment activity leads that of consumption activity in those areas. Short‐horizon investors, on the other hand, concentrated their house search activity in inland areas in both housing market environments.     

Local House Price Diffusion

We contribute to the literature on house price diffusion by carrying out our analysis at three levels: CBSA (nationwide), town and census tract (Greater Boston Area). We estimate fixed‐effect models of house price growth on lagged growth (“Persistence”), nearby lagged growth (“Spillovers”) and Fundamentals growth. CBSA‐level Persistence and Spillover Effects are positive and significant. These large ripple/contagion effects likely contributed to the recent national‐level housing downturn. We find evidence of smaller town‐level Persistence and Spillover Effects. Hence, diffusion appears stronger across than within housing markets. Fundamentals and price expectations drive price diffusion, leaving room for bubbles from future price overoptimism.     

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.     

Momentum and House Price Growth in the United States: Anatomy of a Bubble

This article analyzes the bubble in property values across cities in the United States from 1999 through 2005. We find evidence of momentum in house price growth (relative to growth in rents) away from the underlying fundamentals throughout the 1980–2005 period; however, momentum increased after 1999. We find that the bubble happened mostly after 2003; it was for a relatively short period and was characterized by a series of positive, seemingly random, shocks that were associated with the surge in the subprime market and the decline in short‐term interest rates. Before that price changes were reasonably well explained by the fundamentals, particularly the decline in long‐term interest rates in the early part of the bubble period. We do not find evidence of a tendency for prices relative to rents to revert to a long‐run trend.     

内外失衡背景下我国资产价格泡沫的形成机制及其调控

当前中国经济出现了以股市和房地产为载体的资产价格泡沫。文章研究了这一资产价格泡沫的形成机制,得出结论认为其根本原因在于中国经济内外失衡,而由此产生的流动性过剩则是资产价格飙升的直接原因。为避免资产价格泡沫破灭带来的严重后果,作者提出了促进消费实现经济内外均衡、转变投融资体制、完善汇率制度、加强金融监管等宏微观调控建议和措施。     

成都市金沙遗址博物馆对周边住宅价格影响分析

通过分析成都市金沙遗址博物馆周边一定区域内住宅到博物馆距离与住宅价格之间的关系,建立Hedonic模型,进一步研究影响城市住宅价格因素中旅游景区这一特征对住宅价格的影响。研究结果分为1)在影响住宅价格的因素中,显著性较强的是周边市政设施、物业费、建筑装修程度和到金沙遗址博物馆距离;2)成都市金沙遗址博物馆对城市住宅价格的影响可以用半对数模型表达式表示。进而得出结论:1)影响城市住宅价格因素中旅游景区特征对周边住宅价格的提升具有正作用;2)运用Hedonic模型可以有效地将旅游景区特征对住宅价格的影响作用进行量化;3)基于旅游景区的正向作用,国家应充分重视旅游房地产业。     

Identifying customer behavioral factors and price premiums of green building purchasing

In recent years, global urbanization and overdevelopment have resulted in environmental degradation and an energy crisis. Promoting green buildings is among the most effective methods for achieving environmental sustainability. Although the initial costs of green buildings are higher than those of ordinary buildings, people perceive that the environmental benefits of green buildings justify their higher price premiums. From a developer's perspective, devising optimal pricing strategies according to customer-perceived prices and developers' expected profit is complex and difficult. Hence, in this study, we developed a framework based on the Howard–Sheth model of consumer behavior to identify behavioral factors that may affect consumer purchases of green buildings. An artificial neural network (ANN) was then used to develop a pricing model for predicting the price premiums of green buildings. The results revealed that the ANN model's overall prediction capability was 94%; the model's robustness was demonstrated by comparing the results produced using the model with those produced using a multiple regression analysis. In addition, the characteristics of consumers who were willing to accept higher price premiums for green buildings were identified and discussed. The proposed model can be applied as an effective decision-support tool for green building pricing and formulating marketing strategies.     

经济全球化和全球化的泡沫

在经济全球化的背景下,金融资本的国际化流动不断加强．促成了国际金融市场的联动性和互相影响程度不断加强。背后是金融风险发生后容易出现全球化扩散。而实体经济因为大宗商品金融定价权的原因也越来越受到金融市场波动的影响。在这样的背景下,资产价格的泡沫的出现和泡沫的全球化蔓延对我国经济发展提出了新的挑战和思考。     

Proliferation of Brewers’ Brands and Price Uniformity in Canadian Beer Markets

In this paper, we study retail pricing in Canadian beer markets, where access to the liquor distribution system and the retail price list is restricted by government ownership and control of the system. We consider alternative explanations for price uniformity in the differentiated beer products market. While an analysis of retail beer price data from six Canadian provinces for a 10-year period shows that no single explanation of price uniformity strongly dominates the others, some of the results are consistent with menu cost and demand uncertainty theories of price uniformity.     

投机性需求、刚性需求与房价上涨的非线性关系——基于空间计量模型的实证研究

本文利用2000~2008年24个省份的季度面板数据,采用空间计量经济模型构建基于当期收入、预期资产收益变动以及利率的住宅价格模型,以资产升值预期和收入变动的视角来研究住宅价格上涨的投机性需求和刚性需求。实证研究结果表明货币政策对房价的影响极为重要;可支配收入对房价的影响次之,资产升值预期对房价的影响与刚性需求相差不大,表明投机性需求已经逐渐成为主导我国住宅价格走势的关键性因素。     

Privately Versus Publicly Held Asset Investment Performance

Classic asset pricing is problematic as a method to assess privately held asset investment performance. We propose an alternative approach that involves adjusting the characteristics of assets constituting an index or portfolio to match the asset characteristics of a reference index or portfolio. This approach is applied to commercial real estate, where we create an index of REIT returns to compare to the NCREIF index. To enhance comparability, return indices are adjusted for partial-year financial data, leverage, asset mix and fees. Adjusted results over a 1980–1998 sample period show general convergence between the indices, although an annual return difference of over three percentage points remains in favor of public market asset ownership. Possible causes of the investment performance gap include liquidity and geography as missing risk factor adjustments, an unrepresentative sample period, and the form in which commercial real estate assets are held.     

Cash to spend: IPO wealth and house prices

This study demonstrates the impact of initial public offerings (IPOs) on local house prices. Applying spatial difference-in-differences methods to IPOs in California from 1993 to 2017, we find house prices increase by 0.7%–0.9% near an IPO firm's headquarters around filing and issuing dates. Upon lockup expiration, price changes depend on postissuance returns. Treating the San Francisco Bay as a commuting barrier, we identify sustained price increases after filings and temporary increases after issuing and lockup expiration. We also confirm post-IPO price divergence between the treatment and synthetic control areas. Our findings indicate the effect of liquid wealth under mild financial constraints.     

A Semiparametric Method for Estimating Local House Price Indices

Spatial autoregressive hedonic models utilize house prices lagged in space and time to produce local house price indices, for example, the spatial and temporal autoregressive (STAR) model might be used this way. This paper complements these models with a semiparametric approach, the Local Regression Model (LRM). The greater flexibility of the LRM may allow it to identify space–time asymmetries missed by other models. The LRM is fitted to 49,511 sales from 1972Q1 to 1991Q2 in Fairfax County, Virginia. The local price indices display plausible and significant variations over space and time. The LRM price indices in selected neighborhoods are shown to differ significantly from those in some other neighborhoods. A new method for estimating standard errors addresses an overlooked problem common to all local price indices: how to evaluate the amount of noise in the estimates. Out-of-sample prediction errors demonstrate that LRM adds significant information to the hedonic model.     

The Effects of Charm Listing Prices on House Transaction Prices

As is the case for many different goods and services, it is common practice in many real estate markets for sellers to offer properties for sale at listing prices just below some round number price ( e.g. , $99,900 instead of $100,000). The academic marketing literature refers to this practice as "charm" pricing and suggests that this strategy is an attempt by sellers to take advantage of buyers' cognitive processes in which charm prices affect buyers' perceptions about the seller or the item being offered for sale. Although numerous papers in the housing economics literature have addressed the impact of the magnitude of listing price on observed house transaction prices, no prior published study has considered the impact of the design of listing prices in housing markets. This paper presents an empirical investigation of the effects of charm pricing on house transaction prices using sample data. The results provide some evidence that houses listed at certain charm prices sell for significantly greater transaction prices than those listed at round number prices.     

List pricing and discounting in a Bertrand–Edgeworth duopoly

List, or retail, pricing is a widely used trading institution where firms announce a price that may be discounted at a later stage. Competition authorities view list pricing and discounting as a procompetitive practice. We modify the standard Bertrand–Edgeworth duopoly model to include list pricing and a subsequent discounting stage. Both firms first simultaneously choose a maximum list price and then decide whether to discount, or not, in a subsequent stage. We show that list pricing works as a credible commitment device that induces a pure strategy outcome. This is true for a general class of rationing rules. Further unlike the dominant firm interpretation of a price leader, the low capacity firm may have incentives to commit to a low price and in this sense assume the role of a leader.