REIT Characteristics and the Sensitivity of REIT Returns

Previous research on the returns to real estate investment trusts (REITs) has considered whether REITs are systematically exposed to general stock-market risk and interest-rate risk. This study examines how the sensitivity of REIT returns to these factors may be influenced by various REIT characteristics. Using a sample of publicly traded REITs, we estimate the sensitivity of REIT returns to stock market and interest-rate changes. We then propose and implement a model for testing whether differences in asset structure, financial leverage, management strategy, and degree of specialization in the REIT portfolios are related to their sensitivity to interest rate and market risk. Our results permit us to offer some inferences about how REITs can alter their risk exposure by managing these characteristics.     

JANUARY RETURN SEASONALITY IN REAL ESTATE INVESTMENT TRUSTS: INFORMATION VS. TAX-LOSS SELLING EFFECTS

We examine the January return seasonality of real estate investment trust (REIT) common stock and underlying assets. Both stock returns and the National Assocation of Realtors median home price index exhibit January seaonals. However, the median home price index explains little of the seasonal stock returns, and a significant January effect in stock returns remains for small REITs. Thus, information effects are not the likely cause of the January effect in REITs. Further analysis indicates that tax-loss selling is the more likely cause of the January effect.     

On the Hybrid Nature of REITs

The consensus that emerges from the current research on the linkage between securitized and direct investment in real estate is that direct (private) real estate returns play a relatively minor role in the real estate investment trust (REIT) return generating process. However, this result may at least partially be due to the coarseness of the measures of direct real estate returns or the relatively short return horizons used in previous studies. This study takes a different and unique perspective. Unlike earlier studies we do not use aggregated, average appraisal based returns on direct real estate investment. Instead, we use the MIT TBI indexes, which are transaction based price indexes, available both on the aggregate and sub-index levels. We find that the relation between REIT and direct real estate returns appears to be stronger at longer horizons. More specifically, using a cointegration framework, we find robust evidence that REITs and the underlying real estate are related and that they share a long run equilibrium. Interestingly, we find that both REITs and direct real estate returns adjust towards this long run relationship. When we examine property type level data we find similar results.     

REIT Stock Splits and Market Efficiency

An analysis of real estate investment trust (REIT) stock splits is presented. Evaluation of the initial reaction to split REITs supports efficient market pricing where REITs generate statistically significant positive announcement date returns, no statistically significant record date returns, and muted ex-date returns. In the long-term, split REITs do not consistently out perform benchmark portfolios over one-year, two-year, and three-year periods. REITs split subsequent to a substantial run up in stock price and to improve the position of their post split stock price relative to the stock price of the typical REIT.     

Asymmetric Correlation and Volatility Dynamics among Stock, Bond, and Securitized Real Estate Markets

We apply a multivariate asymmetric generalized dynamic conditional correlation GARCH model to daily index returns of S&P500, US corporate bonds, and their real estate counterparts (REITs and CMBS) from 1999 to 2008. We document, for the first time, evidence for asymmetric volatilities and correlations in CMBS and REITs. Due to their high levels of leverage, REIT returns exhibit stronger asymmetric volatilities. Also, both REIT and stock returns show strong evidence of asymmetries in their conditional correlation, suggesting reduced hedging potential of REITs against the stock market downturn during the sample period. There is also evidence that corporate bonds and CMBS may provide diversification benefits for stocks and REITs. Furthermore, we demonstrate that default spread and stock market volatility play a significant role in driving dynamics of these conditional correlations and that there is a significant structural break in the correlations caused by the recent financial crisis.     

Are REIT IPOs Unique? The Global Evidence

Previous studies of real estate investment trust (REIT) IPOs have focused primarily on REITs listed in the U.S. These studies in general find that, unlike industrial firm IPOs, REIT IPOs in the U.S. exhibit an abnormally low initial-day return and mixed long-run performance. Our study examines this puzzle using a large sample of 370 REIT IPOs from four continents (14 different countries) during the 1996–2010 period. We find that (1) the newly-established REITs in other countries exhibit similar initial-day return pattern as in the U.S., (2) the low initial-day return might be caused by the fund-like structure of REITs and the re-deployable assets (real estate) they hold, (3) the slightly positive initial-day return is offset by the poor performance in the 190 days subsequent to the IPO, and (4) the change in U.S. REIT IPO performance before and after 1990 is likely due to a change in the REIT structure.     

The Variation of Economic Risk Premiums in Real Estate Returns

We examine the predictable components of returns on stocks, bonds, and real estate investment trusts (REITs). We employ a multiple-beta asset pricing model and find that there are varying degrees of predictability among stocks, bonds, and REITs. Furthermore, we find that most of the predictability of returns is associated with the economic variables employed in the asset pricing model. The stock market risk premium is highly important in capturing the predictable variation in stock portfolios, and the bond market risk premiums (term and risk structure of interest rates) are important in capturing the predictable variation in bond portfolios. For REITs, however, both the stock and bond market risk premiums capture the predictable variation in returns. REITs have comparable return predictability to stock portfolios. We conclude that there is an important economic risk premium for REITs that are not captured by traditional multiple-beta asset pricing models.     

The Riskiness of REITs Surrounding the October 1997 Stock Market Decline

Real estate investment trusts (REITs) are viewed as low risk/low return stocks that exhibit defensive stock characteristics. The stock market decline of October 1997 provides an excellent opportunity to examine the riskiness of REITs during high levels of market uncertainty. We find that the decline in REIT stock values was about one-half as large as the decline of non-REIT stocks. Additionally, market uncertainty on the event day was shown with an increased bid-ask spread for all stocks. On the following day when the market decline was partially reversed, the bid-ask spreads continued to increase for non-REIT stocks, but declined for REIT stocks. This suggests that REITs, like defensive stocks in general, are less prone to significant declines during market-wide disturbances. Also, we order stocks based on the standard deviation measures of risk and show that this risk measure explains the cross-section of returns for non-REITs but is not valid for REITs.     

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.     

A multivariate analysis of REIT performance by financial and real asset portfolio characteristics

This paper examines the risk-adjusted performance of real estate investment trusts (REITs) from 1986 through 1990 in relation to financial and property characteristics of their portfolios. The Sharpe measure of risk-adjusted rate of return was regressed against financial ratios and property investment ratios for a sample of equity and mortgage REITs. The results show that, in general, financial ratios (gross cash flow, leverage, asset size), regional location of properties, and types of real estate investments determine the risk-adjusted performance. More specifically, location of properties in the western United States, ownership of health care properties, and investment in securitized mortgages positively affect the risk-adjusted return. The individual financial variables were not found to be statistically significant in influencing REIT returns.     

REIT Open-Market Stock Repurchases and Profitability

This study examines whether the announcement of real estate investment trust (REIT) open-market stock repurchase programs contain information content about future operating performance over the period 1990–2001. We find no evidence that REIT stock buybacks are positively related to the operating performance. In fact, the operating performance of our sample REIT firms peak at the repurchase announcement year and deteriorate in the years following the announcement of share repurchases. Nevertheless, the sample REITs show higher levels of post-repurchase operating performance when compared to those of the pre-repurchase period. Additionally, our regression analysis shows that changes in future operating performance can explain the positive announcement effect.     

Further Evidence on the Integration of REIT,Bond, and Stock Returns

This study examines the integration of REIT, bond, and stock returns. Cointegration and vector autoregressive models are employed to explore the causality and long-run economic linkages among these securities. Our results show that REITs behave more like stocks and less like bonds after the structural changes in the early 1990s. Overall, results suggest that the benefits of diversification by including REITs in multiasset portfolios diminish after 1992.     

Fundamental Drivers of Dependence in REIT Returns

We analyse the empirical relationships between firm fundamentals and the dependence structure between individual REIT and stock market returns. In contrast to previous studies, we distinguish between the average systematic risk of REITs and their asymmetric risk in the sense of a disproportionate likelihood of joint negative return clusters between REITs and the stock market. We find that REITs with low systematic risk are typically small, with low short-term momentum, low turnover, high growth opportunities and strong long-term momentum. Holding systematic risk constant, the main driving forces of asymmetric risk are leverage and, to some extent, short-term momentum. Specifically, we find that leverage has an asymmetric effect on REIT return dependence that outweighs the extent to which it increases the average sensitivity of REIT equity to market fluctuations, explaining the strong negative impact of leverage on firm performance especially during crisis periods that has been documented in recent empirical work.     

Portfolio greenness and the financial performance of REITs

This paper investigates the effects of the energy efficiency and sustainability of commercial properties on the operating and stock performance of a sample of US REITs, providing insight into the net benefits of green buildings. We match data on LEED- and Energy Star-certified buildings with detailed information on REIT portfolios and calculate the share of green properties for each REIT over the 2000–2011 period. We estimate a two-stage regression model and document that the greenness of REITs is positively related to three measures of operating performance – return on assets, return on equity and the ratio of funds from operations to total revenue. We also document that there is no significant relationship between the greenness of property portfolios and abnormal stock returns, suggesting that stock prices already reflect the higher cash flows deriving from investments in more efficient properties. However, REITs with a higher fraction of green properties display significantly lower market betas.     

Analysis of REIT IPOs Using a Market Microstructure Approach: Anomalous Behavior or Asset Structure

In this research, we examine and present new evidence on the market activity following the initial public offering (IPO) of a real estate investment trust (REIT) using microstructure data. We analyze the bid-ask spread differences for REIT securities compared to common stocks and closed-end funds for all IPOs between 1985 and 1988. Our results show that REITs, as a whole sample, experience significantly greater bid-ask spreads immediately following the IPO compared to common stocks and funds. However, this outcome is driven by the equity REIT sample, with the mortgage REIT sample having significantly smaller bid-ask spreads. This is in contrast to the evidence documented by Nelling, Mahoney, Hildebrand, and Goldstein (1995). We attribute our result to the underlying asset structure (such as equity, hybrid, and mortgage portfolios) of the various REITs. Overall, however, we find that bid-ask spreads for REITs are similar to those of common stock when both asset structure and the traditional determinants of the spread (share price, trade volume, and returns variance) are considered.     

The Effect of Legal Environment and Regulatory Structure on Performance: Cross-Country Evidence from REITs

The Journal of Real Estate Finance and Economics - We study the relationship between international REIT regulatory structures and real estate returns and find that the legal requirements that REITs...     

The Cross Section of Expected Real Estate Returns: Insights from Investment-Based Asset Pricing

Motivated by investment-based asset pricing, we show that two firm fundamentals, investment and profitability, have substantial predictive power for REIT returns. The return predictability of investment and profitability is not subsumed by conventional models and can be useful for understanding the cross section of expected REIT returns. To illustrate, we construct an investment-based factor model for REITs that consists of a market factor, an investment factor, and a profitability factor. The investment-based model outperforms conventional models in capturing well-known cross-sectional patterns in REIT returns. Our findings suggest that incorporating investment-based asset pricing can be a promising direction for future real estate finance research.     

Liquidity dynamics across public and private markets

In this paper we investigate cross-asset liquidity between equity markets and REITs and between REITs and private real estate markets. While many studies have investigated REIT liquidity, and there is an emerging interest in liquidity in the private real estate markets, there appears to be little knowledge of the dynamics of cross-market liquidity. We find lower levels of liquidity for REITs compared to a set of control firms matched on size and book-to-market ratios. Commonality in liquidity is also lower for REITs than the controls and the overall market. However, we do find an important difference in share turnover for REITs, which appears to have a higher level of commonality than found in other studies. We suggest that this may be due to the financial crisis. Additionally we find evidence of similar time-series variation in liquidity for public and private real estate markets. We also find significant directional causality for most liquidity proxies from the public to private real estate markets. Finally our results show that there is strong contemporaneous correlation between both public and private real estate market liquidity and the term spread and real investment and consumption spending. REIT liquidity measures based on intraday data also appear to contain important information not found in measures constructed from daily returns.     

Are Securitized Real Estate Returns more Predictable than Stock Returns?

This paper examines whether the predictability of securitized real estate returns differs from that of stock returns. It also provides a cross-country comparison of securitized real estate return predictability. In contrast to most of the literature on this issue, the analysis is not based on a multifactor asset pricing framework as such analyses may bias the results. We use a time series approach and thus create a level playing field to compare the predictability of the two asset classes. Forecasts are performed with ARMA and ARMA–EGARCH models and evaluated by comparing the entire empirical distributions of prediction errors, as well as with a trading strategy. The results, based on daily data for the 1990–2007 period, show that securitized real estate returns are generally more predictable than stock returns in countries with mature and well established REIT regimes. ARMA–EGARCH models are found to have portfolio outperformance potential even in the presence of transaction costs, with generally better results for securitized real estate than for stocks.     

Investor Sentiment and REIT Returns

Recent advances in the field of behavioral finance have given a fillip to the use of behavioral factors in asset pricing models. This study adds to the understanding of the REIT return generating process by exploring the behavioral impact of investor sentiment on REIT returns. The results show that when investors are optimistic (pessimistic), REIT returns become higher (lower). These findings are robust when conventional control variables are considered. Empirical analysis indicates steady erosion in the importance of the default and term structure interest rate variables previously considered as important determinants of REIT returns. Previous noise trading papers that consider the impact of institutional traders conclude that institutional investors cannot arbitrage away noise trader risk. The results of this paper find an exception in the case of small REITs. Examination of REITs based on size reveals that the return generating process of small REITs differs from that of mid-size and large REITs. Analysis of the return generating process by performance shows high performance REITs are more sensitive to the independent variables in the model as compared to the low and mid performance REITs.