Assessing the Market Value of Real Estate Property with a Geographically Weighted Stochastic Frontier Model

In this study we consider the problem of sellers, buyers and real estate appraisers in determining the price for a house, taking into account the characteristics of the house and its location as well as the goals of these three different parties. The appraiser's job is to determine the fair market value of the house, while the buyer and seller want to find, respectively, the lowest and highest feasible price for it. We combine recent developments in geography and econometrics to develop an approach that determines local estimates of property values from the perspectives of the buyer, seller and appraiser, taking into account the characteristics of the house as well as its location. We illustrate our approach analyzing closing prices in one residential real estate market.     

Rational Expectations, Market Fundamentals and Housing Price Volatility

This paper derives a forward-looking rational expectations house price model and empirically tests its ability to explain short-run fluctuations in real house prices. A novel approach to proxying the imputed rents of owner-occupied housing, as a function of observable housing market fundamentals, is combined with a housing market arbitrage relation to derive a present value model for real house prices. Tests of the rational expectations, nonlinear cross-equation restrictions reject the joint null hypothesis of rational expectations and the asset-based housing price model for quarterly, single-detached house prices in the city of Vancouver, British Columbia from 1979–1991. The model fails to fully capture observed house price dynamics in two real estate booms but tracks real house prices well in less volatile times, suggesting that prices may temporarily deviate from fundamental values in real estate price cycles.     

Speculators and Price Overreaction in the Housing Market

This paper investigates the role of speculators in the housing market, specifically their contribution to price overreaction through positive feedback trading (or momentum trading). We exploit a unique data set of condominium transactions in a residential real estate market where transaction traits associated with short‐term speculation can be identified. In the cross‐section of housing projects, a 10‐percentage‐point increase in trading activity following a strong short‐run market price rise predicts a negative subsequent monthly price change of 0.5% at the project level. Moreover, the price reversal effect associated with the momentum trading by short‐term speculators is two to three times stronger, and holding such trading constant, momentum trading in general has little additional impact. Our findings further suggest that momentum trading by short‐term speculators contributes to price overreaction largely in submarkets with lower information efficiency.     

Investor Confidence as a Determinant of China's Urban Housing Market Dynamics

China's urban housing market dynamics suggest that evolving investor confidence may be a relevant demand shifter. Such investors are continually updating their beliefs about the state of the macroeconomy and the policy uncertainty related to national and local housing policies. We build a 35 Chinese city real estate confidence index that varies over time and across cities. This index predicts subsequent house price appreciation and new housing sales. We document evidence of heterogeneous effects of investor confidence depending on a city's demographics and the city's elasticity of housing supply. Our results based on a new household‐level expectations survey bolster the case that investor expectations are an important determinant of real estate price dynamics.     

基于Hedonic模型的小区房价影响因素研究——以南京市鼓楼区为例

从小区房价的微观影响因素出发,分别从建筑特征、邻里特征、区位特征三个方面确定了10个特征价格变量,运用定量和定性相结合的方法,构建影响南京市鼓楼区小区房价的特征价格模型,并对回归结果进行检验和分析。结果表明:建筑年代、容积率、交通干道等级是影响小区房价弹性的最大因素;主要街道等级是影响小区房价的最主要微观因素。希望通过本文研究给房地产开发商、政府、消费者等在决策和选择上提供借鉴。     

Asset Price Persistence and Real Estate Market Illiquidity: Evidence from Japanese Land Values

We develop an overlapping generations model of the real estate market in which search frictions and a debt overhang combine to generate price persistence and illiquidity. Illiquidity stems from heterogeneity in agent real estate valuations. The variance of agent valuations determines how quickly prices adjust following a shock to fundamentals. We examine the predictions of the model by studying price depreciation in Japanese land values subsequent to the 1990 stock market crash. Commercial land values fell much more quickly than residential land values. As we would posit that the variance of buyer valuations would be greater for residential real estate than for commercial real estate, this model matches the Japanese experience.     

基于中国市场的房地产期权研究

面对日渐繁荣的中国房地产市场,房价涨幅过快、过高已经是一个不容回避的问题。房地产期权作为一种创新型投资理财工具,在欧美和亚洲金融衍生品市场几乎完全空白,能够有效对冲房价过快上涨的风险,改变中国购房者传统购房观念,间接缓解房地产价格过快上涨的压力。本文基于中国市场对以房地产价格为标的物的期权产品进行研究,以西安市房地产市场为例进行模拟分析,结果表明,房地产期权可以满足普通购房者对冲房价过快上涨的避险需求,转变传统购房观念,缓解短期购房压力,降低房地产市场的整体风险,在一定程度上促进房地产市场平稳有序的发展,具有十分显著的现实应用价值。     

论我国房地产市场预警系统的建立

建立房地产市场预警系统有助我们在恰当的时候采用正确的房地产宏观调控措施促进房地产市场健康发展。本文将房价收入比、房价租金比、租金收入比、房地产价格增长率与GDP增长率之比、商品房空置率5个指标作为房地产市场预警统计指标,并对它们的预警区间做出界定,然后根据每个指标的统计数据,确定警兆的警级,结合警兆的重要性进行加权综合,综合成一个指数,这样就可以用一组类似于交通信号灯的标志把当前的房地产市场状态直观地表达出来,用以判断房地产市场过热或衰退的程度,来制定房地产宏观调控的方向。     

House Prices and Regional Real Estate Cycles: Market Adjustments in Houston

Real estate cycles often generate sharp swings in real housing prices, price changes that cannot be adequately described by a single statistic such as median home values. Instead, the entire structure of prices across all quality levels must be examined. This paper analyzes the price impact of the Houston, Texas, real estate bust. It shows that the average price of housing fell, and that the structure of the housing price function itself changed. Changes in the marginal price of housing were probably more significant to the market equilibrating process than the decline in average price alone.     

基于挤出效应的住房保障规模对商品住房价格的影响

中国房地产市场中保障性住房的角色和作用愈加重要,保障性住房建设规模正在逐年扩大.商品住房价格变化是供给需求作用的结果,但是随着保障房供给规模的增加,商品住房价格的涨幅也会发生改变,说明保障房的供给规模会对普通商品房的供需产生影响.本文以北京市商品住房市场为例,选取住宅需求、住宅供给、住房投机对价格的影响为自变量,住宅价格为因变量,利用多元回归模型对商品住房价格变化进行实证研究,同时通过考虑保障房供给对住房市场产生的不同挤出效应,分析保障房供给规模供需变化对房价产生的影响,进而为政府制定相关的住房保障政策提供建议和对策.     

Are Brokers' Commission Rates on Home Sales Too High? A Conceptual Analysis

Many people in North America believe that prevailing commission rates for residential real estate brokers are too high, even though such beliefs are not based on a formal model. This paper presents a general equilibrium model of the housing market in which real estate brokers serve as matching intermediaries. We use this model to construct an illustrative example which is calibrated using data consistent with a typical housing market. The example suggests that the commission rate which maximizes aggregate efficiency is considerably below the prevailing rate. Moreover, this finding appears to be robust to changes in the matching process.     

Price Strategies for Idiosyncratic Goods—The Case of Housing

We determine the mechanism that a rational, profit-maximizing seller would use to revise his reservation price for a heterogeneous or infrequently exchanged good. For instance, while one dimension of a home's quality may be easily determined in competitive markets (e.g., the valuation of floor size, location, etc.), other dimensions of quality may be idiosyncratic (unit specific) and unobservable by the seller (e.g., aesthetics of the home). Here, a seller of a new or infrequently exchanged housing unit may use sales success information to revise his expectation of the unit's market-determined value and hence revise his reservation price. The rational seller will, upon arrival of the first buyer inspecting the unit, determine a sequence of reservation prices for this and expected subsequent buyers. This price sequence falls for subsequent buyers and starts from a lower initial price if the first buyer arrives later than expected. Through this mechanism, we offer an explanation for price dispersion and vacancy durations in housing markets. While we explicitly model the real estate market here, this price revision mechanism is also applicable to rental markets, labor markets, used car markets, and other markets characterized by heterogeneity and infrequent sales.     

基于价值工程原理的商品房购置决策研究

高性价比的商品房已成为房地产开发商和消费共同追求的目标。在确立住宅小区商品房性能评价指标体系基础上，提出了利用价值工程理论来计算商品房的性价比，以得到最优的商品房购置方案。最后通过一个案例进行了说明。     

Economic Depreciation of Residential Real Estate: Microlevel Space and Time Analysis

Three elements in the study of real estate depreciation that warrant further consideration are uncovered: the spatial variation of depreciation on a micro scale, the variability of depreciation within a single market across time and the recognition of land value as an influence in modeling real property prices. Taken together, these three dimensions provide an opportunity to further expand the understanding of residential economic depreciation while enhancing the predictive power of real estate market models. The analytical results, utilizing a land-value-adjusted hedonic model, indicate that both the intramarket location and the year in which the property sold have significant impacts on the observed rate of economic depreciation. Such information is vitally important to policymakers and others interested in accurate modeling of real estate markets.     

Real Estate Returns and Risk with Heterogeneous Investors

This article develops a theoretical framework and formulates a unified risk metric that integrates both real estate price risk and uncertainty of time on market (TOM). We demonstrate that real estate sellers with different degrees of financial distress face not only different marketing period risks, but also receive different return distributions upon successful sales. The major findings of this article can be summarized as follows. First, we show that real estate return and risk, which account for both price and TOM risk, are investor specific, varying over investors with different financial circumstances and holding periods. Second, the traditional valuation of real estate return and risk, which is based solely on the return distribution of a successful sale without considering the uncertainty of TOM and the investor's financial circumstances, underestimates real estate risk and exaggerates real estate return. Third, our empirical applications in both residential and commercial real estate markets show that the Sharpe ratio estimated by the traditional approach is seriously overstated—to the largest extent for investors with high financial distress. In addition, we find that, given the typical 5‐ to 7‐year holding period for real estate, the Sharpe ratios estimated by integrating both price and TOM risk are much in line with the performance of financial assets. These findings can help to explain the apparent “risk‐premium puzzle” in real estate.     

Can Tightness in the Housing Market Help Predict Subsequent Home Price Appreciation? Evidence from the United States and the Netherlands

This article assesses the predictive power of variables that measure market tightness, such as seller's bargaining power and sale probabilities, on future home prices. Theoretical insights from a stylized search‐and‐matching model illustrate that such indicators can be associated with subsequent home price appreciation. The empirical analysis employs listings data on residential units offered for sale through a real estate broker in the Netherlands and for certain U.S. regions. Individual records are used to construct quarterly home price indices, an index that measures seller's bargaining power and (quality‐adjusted) home sale probabilities. Using conventional time‐series models we show that current sale probabilities and bargaining power can significantly reduce home price appreciation forecast errors and help to predict turning points in local area housing markets. The measures and approaches in this article help to demonstrate ways in which researchers and practitioners can leverage listings data to gain knowledge about the current and future state of the housing market.     

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。     

An Empirical Analysis of Hedonic Regression and Grid-Adjustment Techniques in Real Estate Appraisal

Multiple regression analysis has become increasingly popular when appraising residential properties for tax purposes. Alternatively, most fee appraisers and real estate brokers use the traditional sales comparison approach. This study combines the two techniques and uses multiple regression to generate the adjustment coefficients used in the grid adjustment method. The study compares the combined grid-regression method with ordinary regression and defines the market conditions under which each method is likely to be more effective. The grid-regression method is found to be more accurate for relatively homogeneous housing markets, and the multiplicative percentage adjustment method (MPAM) the preferred approach.     

论我国房地产市场供需价格差异的原因及对策

指出当前房屋供需价格差异原因在于开发商、购房者、政府三方利益不均衡;提出为解决矛盾,开发商应进行销售定位并努力降低成本,购房者应明确购房效用,政府应统一制定住宅性能评定指标体系、完善房地产市场等观点.     

Personal Residential Real Estate Investment in Australia: Investor Characteristics and Investment Parameters

To date our understanding of the factors affecting the housing supply stem from the private provision of new units through real estate development. This article investigates a different aspect of housing supply, the private provision of rental housing through investment in existing properties. Using logistic regression and a series of micro data sets of Australian households, we examine the investment decision of residential rental property investors over the period 1990–2004. The sample period incorporates a full real estate cycle. Our results indicate that wealth-related factors are the dominant factors driving these investments. Life-cycle factors such as marriage and children play a less important role. Most of the determinants of income property investment do not vary with the property cycle. Marriage is an exception. It became more important as house prices rose.