Risk and Return in the U.S. Housing Market: A Cross-Sectional Asset-Pricing Approach

This article carries out an asset-pricing analysis of the U.S. metropolitan housing market. We use ZIP code–level housing data to study the cross-sectional role of volatility, price level, stock market risk and idiosyncratic volatility in explaining housing returns. While the related literature tends to focus on the dynamic role of volatility and housing returns within submarkets over time, our risk–return analysis is cross-sectional and covers the national U.S. metropolitan housing market. The study provides a number of important findings on the asset-pricing features of the U.S. housing market. Specifically, we find (i) a positive relation between housing returns and volatility, with returns rising by 2.48% annually for a 10% rise in volatility, (ii) a positive but diminishing price effect on returns and (iii) that stock market risk is priced directionally in the housing market. Our results on the return-volatility-price relation are robust to (i) metropolitan statistical area clustering effects and (ii) differences in socioeconomic characteristics among submarkets related to income, employment rate, managerial employment, owner-occupied housing, gross rent and population density.     

The Effect of Municipal Services and Local Taxes on Housing Values

This paper presents an economic model which casts the "Tiebout Hypothesis" in a Von Thumen type model of spatial equilibrium and considers the effect of differential provision of municipal services on household utility levels and housing prices in a politically fragmented urban area. Also in the context of this model three alternative methods of financing municipal services are examined. The article suggests that different levels of municipal services may cause spatial disequilibrium in an urban area, and as households move within the urban area to maximize their utility, they bid up (or down) the price of housing to the extent that their consumer's surplus is capitalized in housing values. Thus, the resultant urban rent gradient may be "kinked" or discontinuous. This paper also presents empirical findings examining the relationship between housing values and several municipal services.     

The Borrower's Perceived Risk in Mortgage Choice

We investigate how borrowers perceive the risk in the adjustable rate mortgage (ARM) versus fixed rate mortgage (FRM) choice. We develop a mortgage choice model where the coefficient on the long‐term bond risk premium is conditional on the borrower's perceived risk. We show that the perceived risk fluctuates over time according to the short‐term interest rate level and housing market conditions. We find that when the short‐term rate level is high (low), the borrowers perceive low (high) risk of a short‐term rate rise, thus opting for ARMs (FRMs). Also, during a down housing market they become more risk‐averse perceiving higher risk in choosing ARMs. The perceived risk level alters the borrowers’ sensitivity to the long‐term bond risk premium.     

The Investment in Housing As a Forward Market Transaction: Implications for Tenure Choice and Portfolio Selection

A model of tenure choice is presented which treats the benefits and costs of homeownership from a theory of finance perspective. The incremental benefits from homeownership over renting housing services are from two sources: protection against rental price risk (a forward transaction in the housing market) and from a possible capital gain from the eventual sale of a house (substitutes for portfolio investment). The cost of these benefits is higher initial outlay on housing, which reduces the funds available for portfolio investments. The comparative statics of this model is presented. It is shown that rental risk and portfolio risk add to the value of homeownership. Since homeownership is a partial substitute for portfolio investment, it is shown that the lower the covariance between portfolio returns and future home prices the more valuable is homeownership. In the presence of differential borrowing opportunities it is shown that the leverage available to housing significantly increases the value of homeownership.     

The Urban Homeowner's Residential Location Decision in an Asset-Pricing Context

Homeowners determine the maximum site bid price for homeowner housing within a two-period expected-utility model. The bid price is a function of the expected cash flows to sites, the quantity of housing consumed and a relocation option. The bid price is derived in the general case as a function of the homeowner's portfolio risk, including the total risk to the site, and the market price of risk. The bid price is derived under a spatial measure as a function of distance from an arbitrary location. Specific results are obtained when the household experiences log-linear utility for housing and other goods. Use of the market price of risk simplifies analytical solutions to the bid price equation.     

Nature of comovements in US state and MSA housing prices

This study analyzes the time-varying nature and determinants of comovements in US housing prices using state and metropolitan statistical area (MSA) data. We employ dynamic factor models with time-varying loadings and stochastic volatility (DFM-TV-SV) to estimate the national, regional, and state factors. The time-varying factor loadings and stochastic volatility features enrich the dynamic factor model structures and are an effective tool to examine the comovements in housing prices. We find that the national factor is the dominant factor in explaining the movement of housing prices. The national factor accounts for 79% of the variation in state-level housing prices on average, with the greatest magnitude occurring during the housing boom and bust periods in many regions and states. We also find that the factors and synchronization effects are time-varying and heterogeneous across regions. The state-level housing prices contain higher national housing factor components in states with more diverse economies, higher wages and house prices, and lower unemployment rates. These findings shed light on the effectiveness of residential real estate diversification across the United States and the potential for elevated national housing risk amid economic downturns due to increased national housing price integration.     

Finnish Homes—Through Passages or Traps?

This is a study of tenure choice, housing demand and mobility in the submarkets of the Helsinki metropolitan area. The empirical analysis is based on data on households, type of tenure, housing characteristics and mobility for a sample of Helsinki residents at the end of 1980s. According to our results the probability of owning is affected not only by user costs of alternative tenure forms but also by permanent income and demographic variables. Results from the tenure specific housing demand models indicate that there are non-neutralities in the housing markets. Permanent income elasticities of housing demand are clearly positive in owner-occupied sector and systematically higher than in the rented sector. The demand for owner-occupied housing depends very strongly on the age of the household head. User cost per housing unit affects housing demand negatively in both tenure forms. Effective demand is greater in private housing sector. The results suggest that owner-occupied living is preferred with heavily subsidized households the least likely to move. In the rental sector, where the probability of moving is higher, it is also true that the most heavily subsidized households are the least likely to move.     

Graduated Flood Risks and Property Prices in Galveston County

Our hedonic property analysis approach in Galveston County, Texas aims at estimating the impacts of flood risks and water‐related amenities in a more systematic way. First, we interact distance to the nearest coastline and flood risk in order to account for these impacts acting together on housing sales prices in our coastal community. Second, we use more granular flood risk measure in the analysis compared to the existing literature. Results show that the hedonic price effect is dependent upon the distance to the nearest coastline, and as expected the distance effect varies by flood risk type. We find that in this coastal housing market properties located in the highest risk flood area, for up to nearly a quarter mile from the nearest coastline, actually command a price premium. A recent movement toward risk‐based flood insurance premiums in the United States was deeply opposed by the real estate sector for fear of causing property values to steeply decline. This analysis sheds some further light on this depressed property value assertion highlighting its sensitivity to distance to the water.     

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。     

The Impact of Growth Control Regulations on Housing Prices in California*

This paper examines the impact of growth controls on the price of new single-family homes. Four types of growth controls are discussed and each is found to have a significantly different impact on housing prices. Regulations that are imposed by one locality only are first compared to those that are imposed by a locality whose neighbors also control growth. In California, increases in house prices in communities with only local growth controls cannot be distinguished from communities that do not control growth. However, the 1969 to 1976 housing price increase in growth control jurisdictions located in extensively regulated housing markets is significantly higher than in local-only or no-control jurisdictions. In addition, controls that restrict the rate of development are compared to those that specify the quality of development. In the extensively regulated San Francisco Bay area, the 1969 to 1976 housing price increase was 35% higher in rate-controlled communities and 20% higher in quality-controlled communities than in no-control communities.     

Flooding and Liquidity on the Bayou: The Capitalization of Flood Risk into House Value and Ease‐of‐Sale

The existing literature focuses on how perceived flood risk affects house value. Search theory, however, implies that flood risks will be capitalized into both house price and liquidity. This article draws on search theory to develop an empirical approach for estimating flood risk capitalization into both price and selling time. The results show the mix of price and liquidity capitalization varies by level of flood risk as well as across housing market phases. Regardless of the specific capitalization pattern, the results illustrate that focusing solely on price without allowing for concomitant liquidity capitalization can yield estimates that understate the full impact of flood risk on house transactions.     

Hedging House Price Risk in China

The increasing risk associated with China's housing prices is globally recognized. However, hedging this risk is challenging because of a lack of financial derivatives on China's housing assets. We suggest that the short sale of futures contracts for construction raw materials, i.e., iron ore or/and steel, can act as useful tools to hedge the systematic risk of China's new home price. We first present evidence that there is a strong and stable correlation between changes in China's housing prices and global steel/iron ore prices. Using a hedging strategy model, we then show that, during the sample period between 2009 and 2015, 20.6% of the total unpredicted variance in Chinese housing prices can be hedged by shorting rebar and iron ore futures. We further examine this strategy with an event study based on the announcement of the “home‐purchase restriction” policy in April, 2010. The cumulative abnormal returns show that both steel and iron ore prices reacted significantly to this negative shock, and therefore the proposed strategy could substantially help investors offset losses in the housing market. We finally provide some evidences that this strategy can also help investors in specific regional housing markets, or the resale housing markets.     

Risk and Return within the Single-Family Housing Market

The trade-off between risk and return in equity markets is well established. This paper examines the existence of the same trade-off in the single-family housing market. That market is dominated by homeowners, who constitute about two-thirds of U.S. households. For them the choice about how much housing and what house to buy is a joint consumption-investment decision. Furthermore, owner-occupied housing is by nature a lumpy investment whose risk cannot be completely diversified. Does this consumption-investment link negate the risk-return trade-off within the single-family housing market? Theory suggests the link still holds. This paper supplies empirical evidence in support of that theoretical result.     

The Demand for Housing Additions: An Empirical Analysis

Little is known of a household's decision to make a housing addition despite the large and growing size of these expenditures. This paper examines this decision in a two-step empirical process: first, those factors that influence the probability of a housing addition are determined, and second, the value of the addition made is analyzed. Preliminary results indicate that unmet housing consumption needs, but not the investment potential of housing additions, have a significant impact on both the probability of an addition and the value of an addition made. Furthermore, ceteris paribus, non-white households have a greater probability of making a housing addition, and on average, spend more on housing additions than do white households.     

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。     

The Spatial Proximity of Metropolitan Area Housing Submarkets

An important question related to housing submarket construction is whether geographic areas must be spatially adjacent in order to be considered the same submarket. Housing consumers do not necessarily limit their search to spatially concentrated areas and may search similarly priced neighborhoods located throughout a metropolitan area when making housing consumption decisions. This article examines two alternative procedures for delineating submarkets: one that combines adjacent census block groups into areas with enough transactions to estimate the parameters of a hedonic house price equation and a second that permits spatial discontinuities in submarkets. The criterion used to evaluate the alternative techniques is the accuracy of hedonic house price predictions.     

The Interaction of Building Codes and Housing Prices

The study analyzes the effect of restrictive building codes on the price of housing, and the simultaneous impact of housing values on the strictness of codes. A model is defined and estimated, using data for more than 1100 localities. The results show that strict codes raised housing values, in 1970, by about one thousand dollars. They furthermore show that the strictness of codes is in turn affected by housing values, as well as by the strength of construction unions. Homeowners and construction unions are thus both observed to gain from restrictive building codes, which can explain the prevalence of such regulations.     

The Effect of Subsidized Housing on Values of Adjacent Housing

This is a case study of the effect of subsidized housing on the value of adjacent non-subsidized housing. Four townhouse clusters in Fairfax County, Virginia, were selected for study because of the high degree of homogeneity between clusters. The clusters are all in the same community but vary in distance from subsidized housing. Sale prices were analyzed using a regression model which included distance from subsidized housing as an independent variable. Based on the results of the regression analysis, the authors conclude that the subsidized housing had a negative impact on the values of adjacent properties.     

住房按揭贷款风险分析及防范

住房按揭贷款自开办以来，已初具规模。在实际运作中其风险仍无处不在，尤其是在“安全性”上存在着政策、市场、银行、抵押物等风险。要实现住房贷款的可持续发展，必须进行风险防范。章在分析当前住房按揭贷款风险的基础上，提出了几点防范措施。     

基于失效风险的建筑物预防维修成本模型优化

建筑物预防性维修成本的最优控制问题,是企业现代化经营管理的一个重要组成部分,直接影响到企业的经济效益。针对承受重复荷载作用的建筑构件,失效概率随服役时间增加而增大的实际情况,提出了失效风险的概念。采用役龄回退因子描述了维修后失效概率降低的程度,在此基础上推算出满足可靠度约束条件,适用于特定时间段非等间隔检测期序列,计算出单位维修周期内的检测次数。通过对维修成本函数的分析,建立了基于等失效风险状态的维修成本优化模型。为房屋物业管理部门进行建筑物的维修和更换决策提供参考依据。