Commercial Real Estate Return Performance: A Cross-Country Analysis

This paper investigates the return performance of publicly traded real estate companies. The analysis spans the 1984–1999 time period and includes return data on over 600 companies in 28 countries. The return data reveal a substantial amount of variation in mean real estate returns and standard deviations across countries. Moreover, standard Treynor ratios, which scale country excess returns by the estimated beta on the world wealth portfolio, also reveal substantial variation across countries in excess real estate returns per unit of systematic risk. However, when we estimate Jensens alphas using both single and multifactor specifications, we detect little evidence of abnormal, risk-adjusted returns at the country level. We do, however, find evidence of a strong world-wide factor in international real estate returns. Furthermore, even after controlling for the effects of world-wide systematic risk, an orthogonalized country-specific factor is highly significant. This suggests that real estate securities may provide international diversification opportunities.     

The Relative Importance of Stock, Bond and Real Estate Factors in Explaining REIT Returns

This paper examines the link between REIT, financial asset and real estate returns, and tests whether it changed subsequent to the “REIT boom” of the early 1990s. The main focus is on answering the question do REIT returns now better reflect the performance of underlying direct (unsecuritized) real estate? We develop and implement a variance decomposition for REIT returns that separates REIT return variability into components directly related to major stock, bond, and real estate-related return indices, as well as idiosyncratic or sector-specific effects. This is applied to aggregate REIT sector (NAREIT) returns as well as returns to size and property-type based REIT portfolios. Our results show that the REIT market went from being driven largely by the same economic factors that drive large cap stocks through the 1970s and 1980s to being more strongly related to both small cap stock and real estate-related factors in the 1990s. There is also a steady increase over time in the proportion of volatility not accounted for by stock, bond or real estate related factors. We also find that small cap REITs are “more like real estate” compared to larger cap REITs, at least over the 1993–1998 period. We argue that this could be a result of the institutionalization of the ownership of larger cap REITs that took place in the 1990s.     

非线性视角下的中国房地产财富效应的测度研究——基于1996～2008年省际面板数据的分析

基于Hansen面板门槛模型,利用中国1996～2008年间30个省（市、区）的相关数据,进行了房地产财富效应的非线性检验。研究发现,从房价增长率和收入增长率来看,房价上涨对消费的影响存在着显著的单门槛效应,呈现非线性的区制变化,尽管总体上房价上涨不利于促进消费,但是在不同类型的区制,对消费的抑制程度存在着明显的差异。建议针对中国不同类型的区域,平抑房价的方式应有所区别,以减少可能出现的市场风险。     

Risk management of real estate: The case of real estate swaps

Real estate swaps are a recent financial innovation based upon the principle of comparative advantage. A real estate swap is a useful tool for real estate risk management and for participating in real estate investment without the high costs associated with real estate. Potential economic benefits and costs associated with real estate swaps are considered and real estate swaps are compared to alternative tools for real estate risk management. The expected utility and effectiveness of risk management with a swap in a multiperiod framework are analyzed. The analysis finds that the subject property's return and its risk characteristics (as reflected in its correlation with interest rate and property index returns) delimit the risk management potential of a given swap position. Optimal swap positions are shown for various regions and property types based on historical return series, from the period between 1983 and 1992, and the parameters of the dynamic model developed.     

Real Estate Versus Financial Wealth in Consumption

The consumption function for the U.S. economy is estimated with real estate and financial wealth for quarterly data for 1952:1–2001:4. An additional dollar of real estate wealth increases consumption by 8 cents in the current year, as compared with only 2 cents for financial wealth. The results are consistent with theoretical bounds on the marginal propensity to consume from aggregate wealth. The decline in the stock market during 2000–2001 had a limited impact on aggregate demand in part because of an offsetting real estate wealth effect.     

Stationarity and Cointegration in Systems with Real Estate and Financial Assets

This study examines the properties of wealth indices for investments in several asset classes (real estate, stocks, bonds, and Treasury bills), for several types of real estate (office, retail, research and development office, and warehouse), and by region (East, Midwest, South, and West). The series representing the value of investments in real estate and financial assets are not stationary; therefore, ordinary statistical procedures cannot be applied. Since many of the properties that are included in the real estate series have outside appraisals on an annual basis, especially in the fourth quarter, the real estate series may show seasonal influences. Hence, the appropriate test for cointegration is the Johansen's test, which is formulated in such a way as to allow for deterministic seasonality by the inclusion of seasonal dummy variables. The finding of cointegration implies that there is a long-run relationship between the series in the cointegrated system. When the CPI (or a proxy for inflation) is included in the three systems, the number of common factors increase to two, implying that inflation plays an important role in creating a linkage between these time series. These findings also have implications for developing portfolios comprising financial assets and real estate. The findings also have implications for developing a model to forecast real estate prices.     

Determinants of Real Estate Asset Allocations in Private and Public Pension Plans

Numerous studies have examined the factors associated with allocation of corporate and government pension-plan assets. Yet to date there has been no attempt to identify the sponsor-related conditions that affect the percentage of U.S. private and public pension-fund assets invested in real estate. The purpose of this article is to examine various asset-and liability-matching hypotheses regarding pension-plan asset allocations. Models are specified for both corporate and government defined-benefit plans that relate the characteristics of each plan to the percentage allocated to real estate investments. Our results confirm the existence of a significant size effect for both corporate and government pension plans, although we find mean levels of real estate allocation to be much lower than those suggested in previous real estate allocation studies. The article, however, contains some anomalous findings. In particular, our findings suggest that pension-plan sponsors do not hedge their real estate risk. We also find that pension-plan sponsors do not invest in real estate, as theory might suggest, to minimize the noise level in their pension liabilities.     

How Does Appraisal Smoothing Bias Real Estate Returns Measurement?

This paper examines and clarifies several related issues about real estate return indexes. Specifically, even if real estate valuation smoothing exists at the individual property level, such errors may offset in the aggregate. Using data from commercial property appraisals and corresponding transactions, appraisal smoothing errors engender an underestimation of both the first and second moments for real estate returns. After correcting for these “underestimations,” real estate mean returns and the variance appear to be quite similar to those of stocks.     

Book Assets,Real Estate,and Returns on Common Stock

Since real estate is common to most firms, this study examines whether there is a real estate factor in common stock returns that is not completely captured by existing asset pricing models. The three-factor model of Fama and French (1993), hereafter FF, is extended to incorporate a unique real estate factor. Using his extended-FF model, we examine the returns on 53 industry portfolios of common stocks over the 1972 through 1995 time period. The results indicate that a significant 19 percent of the industries are systematically related to the real estate factor. Most interestingly, we show that the loading of the real estate factor in common stock return is related to the loading of the book-to-market equity factor in these returns. We also construct decile portfolios of common stocks based on historical sensitivities of common stock returns to the real estate factor. The coefficients on the real estate factor vary systematically across the decile portfolios. The results of our analysis suggest that portfolio managers should manage their exposure to real estate.     

日本房地产税制改革及其启示

本文认为,我国目前房地产市场环境与日本20世纪七八十年代面临的环境有颇多相似之处,因而日本房地产税制改革的经验对我国有很好的启示作用。第二次世界大战后日本房地产税收政策先后进行了7次较大的改革和调整,文章对此进行了较详细的梳理,并评价了其政策效应,以期为我国充分运用财税政策,加大房地产市场宏观调控力度,提供借鉴和思路。     

Are REITs real estate? Evidence from international sector level data

The aim of this study is to examine whether securitized real estate returns reflect direct real estate returns or general stock market returns using international data for the U.S., U.K., and Australia. In contrast to previous research, which has generally relied on overall real estate market indices and neglected the potential long-term dynamics, our econometric evaluation is based on sector level data and caters for both the short-term and long-term dynamics of the assets as well as for the lack of leverage in the direct real estate indices. In addition to the real estate and stock market indices, the analysis includes a number of fundamental variables that are expected to influence real estate and stock returns significantly. We estimate vector error-correction models and investigate the forecast error variance decompositions and impulse responses of the assets. Both the variance decompositions and impulse responses suggest that the long-run REIT market performance is much more closely related to the direct real estate market than to the general stock market. Consequently, REITs and direct real estate should be relatively good substitutes in a long-horizon investment portfolio. The results are of relevance regarding the relationship between public and private markets in general, as the ‘duality’ of the real estate markets offers an opportunity to test whether and how closely securitized asset returns reflect the performance of underlying private assets. The study also includes implications concerning the recent financial crisis.     

Bank risk and real estate: An asset pricing perspective

While a number of papers have investigated the time-series behavior ofex post bank stock returns and real estate returns, no study has comprehensively studied the relationship betweenex ante risk premiums on both assetsand the time-varying nature of such premiums in relationship to economic and real estate market conditions. In this study, we investigate how the changing nature of bank risk taking, especially in the real estate market, has affected theex ante pricing of risk in the market for bank stocks. We find that the time variation in bank risk premiums are partly determined by interest rate and real estate market conditions. We also discover that the real estate factor has been important for banks in the 1980s.     

通货膨胀、货币供给与房地产市场关系的实证研究——基于后危机时代数据的考察

我国在2009年底推出的经济政策导致房价和物价不断攀升,央行虽然采取紧缩措施进行应对,但物价和房价仍处高位。对我国货币供给、通货膨胀及房地产之间关系进行理论和实证分析的结果显示:货币供给增加能引起物价和房价上涨;房价上涨能引起物价上涨等。因此,为了更好地应对物价波动,货币政策需关注资产价格,同时应谨慎使用货币政策应对资产泡沫,并密切注意货币流动结构,维持货币供给流向与实体经济发展相适应。     

Return Relationships between Listed Banks and Real Estate Firms: Evidence from Seven Asian Economies

This paper studies the return relationships between listed banks and real estate firms in seven Asian economies before and after the Asian financial crisis. We find that listed banks were exposed to real estate risk both before and after the crisis, but that the exposure increased in the post-crisis period. After the crisis, the hidden risk of real estate collateral in the bank lending process was explicit, as was evidenced by the increased sensitivity and the structure break. In terms of causality, the returns of listed real estate firms are found to Granger-cause the returns of listed banks. However, there is mixed evidence as to whether listed bank returns Granger-cause the returns of listed real estate firms. The study is significant because it indicates the importance of lending policies in relation to the real estate market in establishing a healthy financial system.     

城镇化、工业化与房地产价格之间的动态关系

文章选取1987-2011年相关数据,运用VAR模型分析三者的动态关系。通过格兰杰因果检验知：从长期来看,城镇化率和工业化是房价波动的原因,房价与工业化并不能引起城镇化率的提高,房价和城镇化率不是工业化提高的原因;通过脉冲响应函数,城镇化率的提升,引起房价上涨,但有一定的滞后期,工业化带动房价波动,当工业化达到一定程度,对房价的影响不如以前明显;通过方差分解,短期内房价本身贡献最高,城镇化率与工业化对房价贡献率有一定滞后性。     

Choosing between fixed-and adjustable-rate mortgages: The case of commercial mortgages

This article reports on the determinants of the ARM choice for commercial real estate projects. The theoretical literature suggests that commercial real estate projects are more likely to be financed with an adjustable-rate mortgage (ARM) if the project's income stream or value is expected to rise with inflation over time. The empirical model estimated is a structural probit probability model of the ARM choice. Our results demonstrate that commercial borrowers typically place great emphasis on relative interest-rate differentials when deciding which mortgage is best. We also find that commercial mortgage borrowers will ordinarily be reluctant to issue an ARM when the fixed interest rate is low.     

Corporate real estate's impact on the takeover market

This article explores the issues and problems associated with corporate real estate ownership as viewed through the takeover market. The perception held by managers is that corporate real estate assets are unique, specialized assets. This perception conflicts with financial theory which states that the market values all corporate assets based only on their expected future cash flows. Thus corporate real estate assets are priced according to their cash flows and are like other corporate assets. This study tests the hypothesis that corporate real estate is a specialized asset by examining the impact real estate assets have on the takeover market. The study uses a logit regression model in order to attempt to predict which firms become takeover targets. If corporate real estate in general is a specialized asset, then real estate is expected to be an important variable in predicting takeover targets. Although the logit model has little predictive accuracy, results from the prediction model suggest that corporate real estate plays a significant part in determining the likelihood of a firm's becoming a takeover target. The greater the real estate holdings, the greater the likelihood of a firm's becoming a takeover target.     

Franchising and real estate brokerage

This paper examines the value of franchise affiliation to real estate brokerage firms. It uses a national sample to estimate models of brokerage firm sales and revenues. The results suggest that franchisees sell more properties than nonaffiliates, but that the average franchise sale results in less revenue. The net benefit of franchise affiliation is a 9.0 percent increase in net revenue to the average firm. We compare the initial cost of affiliation with the benefits and find that the up-front fees charged by franchisors are substantially lower than the present value of the stream of incremental profits generated by franchise affiliation.     

The sensitivity of bank stock returns to real estate

According to the Federal Reserve Board, banking firms have recently been shifting significantly larger portions of their loan portfolios into real estate. This increase in real estate lending has caused concern about the continuing economic health of banks on the part of state and federal regulators, since changes in real estate returns, evidenced by changes in property value, can potentially have a significant impact on bank default risk and profit-ability. However, concerned parties do not seem to have explicitly considered the relationship between mortgage default risk and the specific characteristics of real estate investments.This study examines the sensitivities of stock returns for different bank groups, based on the percentage of total loans in real estate and the percentage of loans in five different mortgage categories (construction and development loans, farmland loans, one- to four-family residential loans, multifamily residential loans, and nonresidential and nonfarm loans), to changes in real estate market returns. This is done by developing and using a three-index model.The results of this study indicate that bank stocks, overall, are very sensitive to changes in real estae returns. Banks, with a larger portion of their total loans invested in all types of real estate loans, except farmland loans, are most sensitive to changes in real estate returns.     

The predictability of real estate returns and market timing

Recent evidence suggests that all asset returns are predictable to some extent with excess returns on real estate relatively easier to forecast. This raises the issue of whether we can successfully exploit this level of predictability using various market timing strategies to realize superior performance over a buy-and-hold strategy. We find that the level of predicability associated with real estate leads to moderate success in market timing, although this is not necessarily the case for the other asset classes examined in general. Besides this, real estate stocks typically have higher trading profits and higher mean risk-adjusted excess returns when compared to small stocks as well as large stocks and bonds even though most real estate stocks are small stocks.