International Real Estate Returns: A Multifactor, Multicountry Approach

We examine the risk and return characteristics of publicly traded real estate companies from 14 countries over the period 1990 to 2001. Our data are monthly country-level commercial real estate indexes constructed by the European Public Real Estate Association (EPRA). We find substantial variation in mean real estate returns and standard deviations across countries. Using various global- and country-level factor models, we find that there is evidence of a strong global market risk component, measured relative to the Morgan Stanley Capital International world index, in most countries. However, even after controlling for the effects of global market risk, an orthogonalized country-specific market risk factor is highly significant, especially for real estate indexes in Asia–Pacific markets. We find that a country-specific value risk factor has some explanatory power in addition to the country-specific market factor, but U.S.-based market, value and size risk factors do not provide any additional explanatory power. These findings imply that the international diversification opportunities with real estate companies are more complex than previously thought.     

Real Estate Investment Funds: Performance and Portfolio Considerations

This paper presents the results of a study dealing with a number of issues regarding real estate investment. Utilizing a data set consisting of returns from two of the oldest, continuously operating commingled real estate funds (CREFs), questions relative to investment performance, inflation hedging attributes and diversification benefits are addressed. The methodology used in exploring these issues are variants of the traditional capital asset pricing model (CAPM), extended to consider uncertain inflation (CAPMUI) and an arbitrage pricing model in which real estate performance is judged relative to a more inclusive market index representing larger numbers of substitute investments. Finally, issues relative to portfolio performance are considered by constructing portfolios containing all possible combinations of real estate, stocks and bonds to assess the potential for diversification benefits and portfolio performance.     

Current Issues in the Analysis of Commercial Real Estate

This paper identifies and discusses a number of current issues regarding our understanding of commercial real estate markets. These issues include: 1) accurate estimation of the quantity and location of our nation's commercial space; 2) an understanding of the linkage between the space and capital markets for commercial real estate; 3) identification of the macroeconomic factors that affect the rate of return on commercial property and whether local market factors also affect the rate of return; 4) problems associated with measuring the return characteristics of equity investments in commercial property (including measures of the diversification benefits and inflation-hedging abilities of this asset class); 5) a better understanding of rental markets, including good measures of changes in effective rents over time; and 6) examination of the rationale for ownership of commercial space by corporate users. This paper reviews recent research related to these questions and suggests future research that should prove to be fruitful.     

Estimating Real Estate's Systematic Risk from Aggregate Level Appraisal-Based Returns

This paper estimates the systematic risk (or "beta") of unsecuritized investment grade commercial real estate, as represented by the FRC and PRISA indices of institutional real estate holdings. Systematic risk defined with respect to national consumption is compared to systematic risk defined with respect to the stock market. Also, the risk estimates are explicitly adjusted to account for "smoothing" in appraisal-based aggregate level returns data. The systematic risk of these real estate indices appears to be virtually zero with respect to the stock market, even after correcting for smoothing, but substantially positive with respect to national consumption.     

The Integration of Commercial Real Estate Markets and Stock Markets

This paper tests whether commercial real estate markets (both exchange-traded and non-exchange-traded) are integrated with stock markets using multifactor asset pricing models. The results support the hypothesis that the market for exchange-traded real estate companies, including REITs, is integrated with the market for exchange-traded (non-real-estate) stocks. Moreover, the degree of integration has significantly increased during the 1990s. However, when appraisal-based returns (adjusted for smoothing) are used to construct real estate portfolio returns, the results fail to support the integration hypothesis, although this may reflect the inability of these estimated private market returns to accurately proxy for commercial real estate returns. Interestingly, the growth rate in real per capita consumption is consistently priced in both commercial real estate markets and stock markets, whereas previous studies have found mixed evidence on the role of consumption in explaining ex ante stock returns.     

The Cross-Sectional Dispersion of Commercial Real Estate Returns and Rent Growth: Time Variation and Economic Fluctuations

We estimate the cross-sectional dispersions of returns and growth in rents for commercial real estate using data on U.S. metropolitan areas over the sample period 1986 to 2002. The cross-sectional dispersion of returns is a measure of the risk faced by commercial real estate investors. We document that, for apartments, offices, industrial and retail properties, the cross-sectional dispersions are time varying. Interestingly, their time-series fluctuations can be explained by macroeconomic variables such as the term and credit spreads, inflation and the short rate of interest. The cross-sectional dispersions also exhibit an asymmetrically larger response to negative economics shocks, which may be attributable to credit channel effects impacting the availability of external debt financing to commercial real estate investments. Finally, we find a statistically reliable positive relation between commercial real estate returns and their cross-sectional dispersion, suggesting that idiosyncratic fluctuations are priced in the commercial real estate market.     

Diversification Categories in Investment Real Estate

This paper continues previous work evaluating the benefits of diversification and analyzes the various dimensions within the commercial real estate opportunity set. The database is large and extends through the 1982 downturn in property values. Due to the low levels of systematic risk, current distinctions by region and property type make little sense in a world of costly diversification. More exacting categories combining property type, SMSA growth rate and lease maturity offer promise for more efficient diversification within the real estate portfolio.     

Continental Factors in International Real Estate Returns

This paper examines the extent to which real estate returns are driven by continental factors. This subject is relevant for determining the country allocation of international real estate portfolios. If returns are driven by a continental factor, investors should look for diversification opportunities outside their own continent. This paper finds strong continental factors in North America and especially in the United States. For the Asia–Pacific region, real estate returns are not driven by a continental factor. The results suggest that, for European, North American and Asia—Pacific real estate portfolio managers, the Asia—Pacific region provides attractive international diversification opportunities.     

Systematic Risk and Diversification in the Equity REIT Market

This paper employs stock market-based data to examine the systematic risk and diversification properties of publicly traded equity real estate investment trusts (REITs). A unique data sample is created by combining firm return data with information on their property type holdings and the location of their investments. The systematic risk of equity REITs appears to vary by the type of property in which they invest, with beta being significantly higher for retail-oriented REITs than for REITs owning industrial and warehouse properties. In addition, the stock market data provides no evidence that REIT diversification across property types or broad geographic regions actually results in meaningful diversification as reflected in a standard market-based measure—the R ² from a simple market model regression.     

Commercial Office Space: Testing the Implications of Real Options Models with Competitive Interactions

We test the implications of real option pricing models with competitive interactions for commercial real estate development. The competitive nature of a local commercial real estate market relies on a Herfindahl ratio derived from individual developers' shares of total office construction in their market. All else being equal, greater competition among local developers is associated with more building starts. Other variables suggested by the real options pricing model, including the volatility of local lease rates, are also found to be statistically important. In addition, we provide evidence consistent with greater competition attenuating the extent to which increases in volatility delay commercial real estate development.     

Supply Adjustments to Demand Shocks in the Commercial Real Estate Market

This paper contributes a theoretical investigation of real estate supply adjustments in the commercial real estate market. Simple theoretical linkages between the goods market (the demand side) and the space market (the supply side) are developed and then used to explain the optimal supply decisions of space producers. Propositions relating to how space production decisions are made under conditions of demand certainty, demand uncertainty and free entry are derived from optimization models. Under demand certainty, the adjustment of space supply is shown to be affected by whether an exogenous shock is perceived as mild or disastrous. Under demand uncertainty, construction based on pent-up demand is shown to be suboptimal.     

Returns and Information Transmission Dynamics in Public and Private Real Estate Markets

This paper examines U.S. public and private commercial real estate returns at the aggregate level and by the four major property types over the 1994–2012 time period. Returns are carefully adjusted for differences between public and private markets in financial leverage, property type focus and management fees. Unconditionally, we find that passive portfolios of unlevered core real estate investment trusts (REITs) outperformed their private market benchmark by 49 basis points (annualized) over the 1994–2012 sample period. Our baseline vector autoregression results suggest that REIT returns do not embed additional commercial real‐estate‐specific information useful in predicting private market returns. These results strongly suggest that equity REIT returns react to fundamental (latent) asset pricing information more quickly than private market returns given their greater liquidity and price revelation. REITs therefore serve as a fundamental information transmission channel to private market returns when asset pricing variables are omitted.     

A Different Look at Commercial Real Estate Returns

Commercial real estate makes up a relatively small percentage of most institutional portfolios, even though the existing literature has consistently reported attractive risk-return characteristics that would suggest much larger allocations. This discrepancy has been explained by a perceived lack of comparability between return series calculated for real estate and those calculated for other asset classes. Just as investors actively involved in the futures markets do not consider individual common stocks to be traded continuously, those active in the stock market do not consider real estate to be traded continuously. In both cases, adjustments to reported returns are necessary to achieve a degree of comparability. This study makes such adjustments, using sales data from properties that help comprise the National Council of Real Estate Investment Fiduciaries / Frank Russell Company (NCREIF/FRC) Index to generate a "transaction-driven" commercial real estate return series. Examination of the risk-return characteristics of this series shows that it is quite different from traditionally reported real estate return series and far more consistent with risk-return characteristics that have been reported for other asset classes.     

Real Estate Returns: A Comparison with Other Investments

Real estate returns, measured unleveraged, have been between those of stocks and bonds over 1960–1982. Due to appraisal smoothing and imperfect marketability, one must be careful about directly comparing measured real estate returns with those on other assets. It is likely, however, that low correlations with stocks and bonds make real estate a diversification opportunity for traditional portfolio managers. In addition, the issue of how various assets are priced is addressed. While stocks are priced primarily on market or beta risk, and bonds are priced primarily on interest rate and default risk, the real estate pricing mechanism includes residual risk and non-risk factors such as taxes, marketability costs and information costs.     

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.     

激活房地产市场对策研究

商品房空置率居高不下,一直是困扰我国房地产业健康发展的主要问题,文章针对房地产市场中存在的问题,提出了一些解决问题的建议。     

Illiquidity and Pricing Biases in the Real Estate Market

This article addresses the micro-analytic foundations of illiquidity and price dynamics in the real estate market by integrating modern portfolio theory with models describing the real estate transaction process. Based on the notion that real estate is a heterogeneous good that is traded in decentralized markets and that transactions in these markets are often characterized by costly searches, we argue that the most important aspects defining real estate illiquidity in both residential and commercial markets are the time required for sale and the uncertainty of the marketing period. These aspects provide two sources of bias in the commonly adopted methods of real estate valuation, which are based solely on the prices of sold properties and implicitly assume immediate execution. We demonstrate that estimated returns must be biased upward and risks downward. These biases can be significant, especially when the marketing period is highly uncertain relative to the holding period. We also find that real estate risk is closely related to investors' time horizons, specifically that real estate risk decreases when the holding period increases. These results are consistent with the conventional wisdom that real estate is more favorable to long-term investors than to short-term investors. They also provide a theoretical foundation for the recent econometric literature, which finds evidence of smoothing of real estate returns. Our findings help explain the apparent risk-premium puzzle in real estate—that is, that ex post returns appear too high, given their apparent low volatility—and can lead to the formal derivation of adjustments that can define real estate's proper role in the mixed-asset portfolio.     

商业地产投资的实物期权特性及应用框架研究

商业地产开发投资中存在投资的不可逆性、外部环境的不确定性和决策的灵活性,因而具有实物期权特性。从确定要解决的问题、分析不确定性的来源、鉴别关键的不确定性因素、识别实物期权类型、构建期权定价模型、计算项目价值、检查计算结果和重新设计8个方面,构建了商业地产投资决策的实物期权分析框架。     

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.