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.     

Asset Allocation and the Performance of Real Estate Mutual Funds

We examine the performance of real estate mutual funds during January 1991–December 1997. As a group, the sampled funds outperformed the Wilshire Real Estate Securities Index on a risk-adjusted basis by more than 5 percentage points annually. We attempt to explain these surprising findings by examining the fund's asset allocations across stocks, bonds and real estate property types using Sharpe's (1992) effective-mix test. We find that all of the superior performance is attributable to fund managers' decisions to overweight outperforming property types (apartments and health care) relative to the Wilshire Real Estate Securities Index weights. Performance of the funds matches a multiple-property-type benchmark that takes account of the fund's exposure to each property type. Therefore, real estate funds demonstrated superior allocation across property types, but neither superior nor inferior selection within property type, during 1991–1997. Our findings emphasize the importance of asset allocation for real estate mutual-fund performance.     

The Markets for Real Estate Assets and Space: A Conceptual Framework

In this study, we present a simple analytic framework that divides the real estate market into two markets: the market for real estate space and the market for real estate assets. After describing the size and character of flows and stocks in the U.S. real estate market, we use our framework to demonstrate the important connections between the space and asset markets. We illustrate how these real estate markets are affected by the nation's macroeconomy and financial markets, tracing out the impacts resulting from various exogenous shocks on rents, asset prices, construction and the stock of real estate.     

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.     

What Does the Stock Market Tell Us About Real Estate Returns?

This paper analyzes the risks and returns of different types of real estate-related firms traded on the New York and American stock exchanges (NYSE and AMEX). We examine the relation between real estate stock portfolio returns and returns on a standard appraisal-based index, and find that lagged values of traded real estate portfolio returns can predict returns on the appraisal-based index after controlling for persistence in the appraisal series. The stock market reflects information about real estate markets that is later imbedded in infrequent property appraisals. Additional analysis suggests that the differences in the return and risk characteristics across different types of traded real estate firms can be explained in part by appealing to real estate market fundamentals relating to the degree of dependence of the real estate firm upon rental cash flows from existing buildings. These findings highlight the heterogeneity of securitized real estate-related firms.     

Risk and Return on Real Estate: Evidence from Equity REITs

We analyze monthly returns on an equally weighted index of eighteen to twenty-three equity (real property) real estate investment trusts (REITs) that were traded on major stock exchanges over the 1973–87 period. We employ a multifactor Arbitrage Pricing Model using prespecified macroeconomic factors. We also test whether equity REIT returns are related to changes in the discount on closed-end stock funds, which seems plausible given the closed-end nature of REITs.
Three factors, and the percentage change in the discount on closed-end stock funds, consistently drive equity REIT returns: unexpected inflation and changes in the risk and term structures of interest rates. The impacts of these variables on equity REIT returns is around 60% of the impacts on corporate stock returns generally. As expected, the impacts are greater for more heavily levered REITs than for less levered REITs. Real estate, at least as measured by the return performance of equity REITs, is less risky than stocks generally, but does not offer a superior risk-adjusted return and is not a hedge against unexpected inflation.     

Portfolio Considerations in the Valuation of Real Estate

When a real asset rises in price faster than inflation (as real estate did in the late 1970s) and rises significantly in price over an extended period (as real estate has done for the last decade and one-half), it concerns valuation and investment professionals who fear about it being over-valued. One of the reasons for such price performance may be an increase in demand due to the portfolio characteristics of the asset during the period of time in question. For real estate this means the proportion included in optimal portfolios should be significant and increasing as individual tax rates increase in an environment of increasing average tax rates.
This study uses six tax brackets (0%, 10%, 20%, 30%, 40%, 50%) and portfolios consisting of three traditional assets (NYSE common stocks, corporate bonds and small stocks) plus three types of real estate (residential, business and farmland) to demonstrate that this is what has transpired in the real estate markets. Optimal portfolio weights are derived for each asset for after-tax portfolios. Real estate in general and residential real estate especially increased as a proportion of the optimal after-tax portfolio as individual tax rates increased. Other studies are used to demonstrate an environment of increasing average tax rates.     

The Consequences of REIT Index Membership for Return Patterns

The impact of stock market index membership on Real Estate Investment Trust (REIT) stock returns is unclear. Returns may become more like those of other indexed stocks and less like those of their underlying properties. Taking advantage of the inclusion of REITs in major S&P indexes starting in 2001, we find that shared index membership significantly increases the correlation between REIT returns. However, index membership also enhances the link between REIT returns and the underlying real estate, consistent with improved pricing efficiency.     

Real Estate Mutual Funds: Herding,Momentum Trading and Performance

This study jointly examines herding, momentum trading and performance in real estate mutual funds (REMFs). We do this using trading and performance data for 159 REMFs across the period 1998–2008. In support of the view that Real Estate Investment Trust (REIT) stocks are relatively more transparent, we find that stock herding by REMFs is lower in REIT stocks than other stock. Herding behavior in our data reveals a tendency for managers to sell winners, reflective of the “disposition effect.” We find low overall levels of REMF momentum trading, but further evidence of the disposition effect when momentum trading is segregated into buy–sell dimensions. We test the robustness of our analysis using style analysis, and by reference to the level of fund dividend distribution. Our results for this are consistent with our conjecture about the role of transparency in herding, but they provide no new insights in relation to the momentum‐trading dimensions of our analysis. Summarizing what are complex interrelationships, we find that neither herding nor momentum trading are demonstrably superior investment strategies for REMFs.     

Correlation Dynamics and Determinants in International Securitized Real Estate Markets

We find the correlation movements among eight developed securitized real estate markets and among their stock markets are quite synchronized over the period from 1995 through 2012. There is a high degree of correlation dependence with many of the realized correlation series subject to regime switching. Moreover, international correlations of public property returns could be significantly explained by five real estate variables that include global real estate securities market volatility, co‐existence of real estate investment trust (REIT) influence, underlying direct real estate return performance differential, real estate securities volatility differential and real estate securities market size differential after controlling for macroeconomic influence and stock market effect. The importance of the control and real estate variables in explaining the return correlations varies across the economies examined.     

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.     

Liquidity, Return and Order-Flow Linkages Between REITs and the Stock Market

This article represents the first exploration of liquidity and order flow spillovers across New York Stock Exchange stocks and real estate investment trusts (REITs). Impulse response functions and Granger causality tests indicate the existence of persistent liquidity spillovers running from REITs to non-REITs. Specifically, REIT liquidity indicators are forecastable from non-REIT ones, at both daily and monthly horizons. I also provide evidence of a liquidity premium inherent in REIT returns. While REIT prices appear to be set efficiently in that neither REIT nor non-REIT order flows forecast REIT returns, I find that order flows and returns in the stock market negatively forecast REIT order flows. This result is consistent with the notion that real estate markets are viewed as substitute investments for the stock market, which causes down-moves in the stock market to increase money flows to the REIT market.     

Market Efficiency and Return Statistics: Evidence from Real Estate and Stock Markets Using a Present-Value Approach

This paper develops a methodology to identify asset price response to news in the framework of the Campbell–Shiller log-linear present-value equation. We further show that a slow price adjustment in real estate markets not only induces a high serial autocorrelation in excess returns, but also dampens the return volatility and the correlation with excess returns in other asset markets. Using Hong Kong real estate and stock market data, we find that the quarterly real estate price assimilates only about half the effect of market news, whereas the quarterly stock price incorporates the news fully. Our analysis identifies a cumulative price adjustment that recovers lost information in real estate returns due to market inefficiency and thereby restores the real estate return volatility and the correlation between real estate and stock markets.     

Markov Switching Dynamics in REIT Returns: Univariate and Multivariate Evidence on Forecasting Performance

We document the presence of Markov switching regimes in expected returns, variances and the implied reward‐to‐risk ratio of real estate investment trust (REIT) returns and compare them to properties of stocks and bonds. Our evidence suggests that regime switching techniques are more successful over the period 1972–2008 than other time‐series models are. When the analysis is extended to a multivariate setting in which REIT, stock and bond returns are modeled jointly, we find that the data call for the specification of four separate regimes. These result from the absence of synchronicity among the regimes that characterize univariate REIT, stock and bond returns.     

A Further Examination of Appraisal Data and the Potential Bias in Real Estate Return Indexes

Recent articles by Giliberto [2] and Geltner [1] examine the biases inherent in the use of appraisal data in real estate performance measurement. This note takes another look at the direction and magnitude of any bias in holding period returns. Using appraisal data from a commingled real estate fund, we show that in actual application the size of the holding period return bias can be quite small and this bias may have no appreciable effect on real estate return indexes.     

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.     

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.     

The Effect of Alternative Return Measures on Restricted Mixed-Asset Portfolios

A restricted portfolio is constructed which includes NYSE common stocks, corporate bonds, government bonds, small capitalization common stocks, residential real estate and farmland and returns for each of four different tax brackets (0%, 15%, 30%, 45%). Next, three alternative measures of rates of return for residential real estate and farmland are used. Finally, since some researchers believe that standard risk measures (variance and standard deviation) do not capture the total risk in real estate, the risk for the real estate returns is increased five times while the returns are held constant. The twenty–four optimal portfolios (four tax brackets with two measures of risk and three measure of return for residential real estate and farmland) are then derived. These results are then compared and contrasted to each other to ascertain the change in sensitivity of the optimal portfolios due to different tax rates, different rates–of–return estimates and different risk estimates.     

Co‐movements and Correlations Across Asian Securitized Real Estate and Stock Markets

We find conditional real estate‐stock correlations at the local, regional and global levels are time varying and asymmetric in some cases for our sample of eight Asian securitized real estate markets over 1995–2009. Real estate–global stock correlations co‐move significantly and positively with real estate–regional stock correlations and real estate–local stock correlations. They are also influenced significantly by relative (real estate/stock) volatilities and their lags at three integration levels. Furthermore, real estate and stock volatilities, covariances and correlations increased from the preglobal financial crisis period to the crisis period. However, real estate and stock volatility are more important than correlation in causing the changes in covariance during both the precrisis and crisis periods. Finally, exchange rate volatility appears to have played a relatively less important role in these cross real estate–stock correlations.     

Comovement After Joining an Index: Spillovers of Nonfundamental Effects

This study considers the case of two overlapping categories in the context of recent category models. Specifically, we examine whether investor sentiment and market frictions specific to one category can affect the returns on assets belonging to the other category. With recent additions of several real estate investment trusts (REITs) into general stock market indices as a natural experiment, we find support for spillovers of such nonfundamental effects, as evidenced by the increased return correlation between REITs that remain outside the index and the index stocks. Further analysis reveals that market frictions play a greater role than investor sentiment.