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.     

What Determines Stock Price Synchronicity in REITs?

This paper studies the behavior of REIT stock price synchronicity for the years 1997 through 2006. Theory suggests that REIT stock prices should be largely independent of market changes; and, at the very least, REITs should have a low covariance with other assets, including other REIT stocks. The evidence presented below does not support this view. Instead, synchronicity appears to be quite high in the equity REIT market, especially among REITs that larger and more liquid. We also find that REIT stock price synchronicity is negatively related to hedge fund ownership, but positively related to pension fund and insurance company ownership. The evidence further suggests that synchronicity is the highest among industrial and regional mall REITs, and lower among apartment, health care, and mixed property REITs.     

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.     

The Performance of REIT-owned Properties and the Impact of REIT Market Power

Using a unique, detailed panel dataset of lodging properties, this paper tests whether properties owned by real estate investment trusts (REITs) perform differently than other properties and whether the concentration of real estate ownership brought about by REITs has increased market power. Our results demonstrate that REIT-owned properties, which are primarily mid-scale and high-end hotels, did not perform significantly better, on average, than other mid-scale or high-end hotels in the same geographic area. However, because of the superior overall performance of mid-scale and high-end hotels, REIT properties as a whole did perform better, on average, than non-REIT properties. From these results we conclude that the superior performance of REIT properties was due to the fact that REITs tended to acquire properties in market segments that performed well; REIT ownership in itself does not appear to have increased performance. Our results also suggest that the superior performance of the market segments in which REITs have a significant presence is not attributable to the market power of the REITs.     

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.     

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.     

Rushing to Overpay: Modeling and Measuring the REIT Premium

We explore the questions of why Real Estate Investment Trusts (REITs) pay more for real estate than non-REIT buyers and by how much. First, we develop a search model where REITs optimally pay more for property because (1) they are willing, due to cost of capital advantages and, (2) they are occasionally rushed, due to external regulatory time constraints and internal incentives to deploy capital quickly. Second, using commercial real estate transactions, we find that the extant hedonic pricing models contain an unobserved explanatory variables bias leading to inflated estimates of the REIT premium. Third, using a repeat-sales methodology that controls for unobserved property characteristics, we derive more plausible estimates of the REIT premium. Consistent with our model, we also find the REIT-buyer premium depends on the size of the REIT advantage, the rush to deploy, and the relative presence of REITs in the market.     

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.     

Changes in REIT Liquidity 1988?C2007: Evidence from Daily Data

In this study, we present panel-data evidence on REIT liquidity and its determinants over the 1988?C2007 period. We focus upon liquidity measures that do not require micro-structure data (1) to facilitate use of our results as benchmarks for comparisons with results from international markets for which micro-structure data may be unavailable, (2) to provide benchmarks that do not require access to costly (and voluminous) micro-structure data. We find that REIT liquidity improved during the early and mid-1990s, deteriorated during the late 1990s, and then improved dramatically during 2000?C2006, with the notable exception of 2007. Liquidity improved the most for REITs traded on the NYSE, and was an order of magnitude better than liquidity of REITs traded on the AMEX or NASDAQ. We link the deterioration in liquidity observed in 2007 to the investment portfolio of a REIT. We find that the percentage bid-ask spread is highly correlated with the measure of price impact proposed by Amihud (2002). We provide panel-data evidence on the key determinants of the percentage bid-ask spread that largely confirms the results reported by Bhasin et al. (1997) for 1990 and 1994: the percentage spread is a positive function of the volatility of stock returns, and a negative function of dollar volume turnover, share price and market capitalization. Finally, we provide evidence that these results obtained using daily closing bid- and ask-prices are not qualitatively different from those obtained using market micro-structure data. This suggests that we can use liquidity measures based upon readily available daily return data rather than being forced to rely upon market micro-structure data.     

Extreme Risk Measures for International REIT Markets

Extreme risks associated with extraordinary market conditions are catastrophic for all investors. The ongoing financial crisis has perfectly exemplified this point. Surprisingly, there are few studies exploring this issue for REITs. This study aims to close the knowledge gap. We conduct a comprehensive study by utilizing all three methodological categories to examine their forecasting performances of VaR and ES for nine major global REIT markets. Our findings indicate that there is no universally adequate method to model extreme risks across global markets. Also, estimating risks for the stock and REIT markets may require different methods. In addition, we compare the risk profiles between the stock and REIT markets, and find that the extreme risks for REITs are generally higher than those of stock markets. The fluctuations of risk levels are well synchronized between the two types of markets. The current crisis has significantly increased the extreme risk exposure for both REIT and stock investors. In all, our results have significant implications for REIT risk management, portfolio selection, and evaluation.     

Dynamic Correlations Among Asset Classes: REIT and Stock Returns

We use the Dynamic Conditional Correlation model with Generalized Autoregressive Conditional Heteroskedasticity (DCC-GARCH) developed by Engle (Journal of Business & Economic Statistics 20(3):339–350, 2002) to examine dynamics in the correlation of returns between publicly traded REITs and non-REIT stocks. The results suggest that REIT-stock correlations form three distinct periods. During the first period, ending in August 1991 with the start of the modern REIT era, correlations were high and without trend, never dipping below 59%. During the second period, ending in September 2001 with the inclusion of REITs in broad stock market indexes, correlations declined precipitously to 30%, enabling substantially higher portfolio allocations to both high-return asset classes and therefore higher portfolio returns without increasing portfolio volatility. During the third period, since September 2001, correlations increased steadily but only reached 59% in late 2008. A simple portfolio optimization suggests that asset managers would be willing to pay 20 basis points per year, plus the difference in transaction costs, for the ability to use DCC-GARCH modeling of dynamic correlations in place of rolling 24-month asset correlations.     

Returns transmission, value at risk, and diversification benefits in international REITs: evidence from the financial crisis

We examine daily cross-market return interactions and downside risk between a US REIT returns index and the return indexes of twelve international REIT markets. These relationships are investigated for a period of normal REIT market conditions as well as for periods of inflating and collapsing REIT prices. We find that US REIT returns are contemporaneously correlated with other REITs most strongly during the bubble and crash market conditions where the US REIT market is an almost unilateral transmitter of returns. We also find that the Value at Risk (VaR) of the least capitalized REIT markets is proportionally higher during base/normal market conditions but that the largest REIT markets have the highest VaR contribution during the crash (financial crisis) period. Overall, our evidence indicates that REIT market risk shifted to the largest REIT markets and that diversification benefits eroded considerably during turbulent market conditions.     

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 pricing of real estate investment trust initial public offerings

This paper examines the pricing of Initial Public Offerings (IPOs) of Real Estate Investment Trusts (REITs). Unlike standard corporations, evidence suggests that REIT IPOs are correctly priced in the initial market. Significant negative initial-day return for mortgage REITs is found to be a function of using the bid price to calculate returns for those securities, which trade initially over the counter (OTC). If the bid-ask average or the ask price is used in calculating returns, any apparent overpricing disappears. Additionally, we find that once transactions costs are considered, an investor is better off purchasing a REIT on the offering.     

The Changing Asymmetric Information Component of REIT Spreads: A Study of Anticipated Announcements

This study examines the risk-compensating behavior of REIT market makers. The bid-ask spread is hypothesized to compensate market makers for three costs: asymmetric information, order processing, and inventory. As the market makers perceived likelihood of transacting with a better-informed individual increases (decreases), the percentage of the spread that is attributed to asymmetric information will increase (decrease). This study examines the asymmetric information component of the bid-ask spread immediately prior to and following REIT dividend announcements and REIT funds from operations announcements during 1995 and 1996. The asymmetric information component increases the day before and then declines subsequent to dividend announcements of small and equity REITs. Asymmetric information costs increase following funds from operations announcements.     

The Predictability of Equity REIT Returns: Time Variation and Economic Significance

This article presents evidence on predictability of excess returns for equity REITs relative to the aggregate stock market, small-capitalization stocks, and T-bills using best-fit models from prior time periods. We find that excess equity REIT returns are far less predictable out-of-sample than in-sample. This inability to forecast out-of-sample is particularly true in the 1990s. Nevertheless, in the absence of transaction costs, active-trading strategies based on out-of-sample predictions modestly outperform REIT buy-and-hold strategies. However, when transaction costs are introduced, profits from these active-trading strategies largely disappear.     

Equity Capital Flows and Demand for REITs

REITs are attractive to investors due to their unique characteristics such as high dividend yields, low correlation with common stocks, and a potential hedge against inflation. Thus the market demand curve of REIT equities may not be horizontal. This paper examines the shape of the market demand curve for REIT equities by employing REIT equity capital flows as a proxy for REIT aggregate demand. Our results do not support a downward demand curve for REIT equities. That is, we do not find evidence for the price-pressure effect in REIT returns. Instead, we find it is REIT returns that affect REIT equity capital flows rather than REIT equity flows that affect REIT returns. The results are consistent when we allow for the presence of market fundamental variables in our analysis. In addition, a variance decomposition analysis suggests that REIT equity capital flows do not cause revisions in expected cash flows (dividends) that are strong enough to impact REIT returns. Thus our findings are consistent with implications that the market demand curve for REIT equities is horizontal.     

Information Uncertainty and the Post-Earnings-Announcement Drift Anomaly: Insights from REITs

This is the first study to examine the post-earnings-announcement drift anomaly in a Real Estate Investment Trust (REIT) context. The efficient markets hypothesis suggests that unexpected earnings should be fully incorporated into asset prices soon after being publicly announced. We hypothesize that publicly announced earnings signals may be more certain for REITs due to the presence of a parallel (private) asset market, suggesting less drift for REIT stocks. However, we find a large REIT drift component that is both statistically and economically significant. Furthermore, while the initial earnings surprise response is more muted for REITs, we find that the magnitude of the drift is significantly larger for REITs than for ordinary common stocks (NonREITs). Thus, information does not appear to move between the private and public asset markets in such a way as to render REIT earnings signals more certain than NonREIT earnings signals.     

Commonality in Liquidity and Real Estate Securities

We conduct an empirical investigation of the exposure of U.S. REIT returns to commonality in liquidity. Taking advantage of the specific characteristics of REITs, we study three types of commonality in liquidity: within-asset commonality, cross-asset commonality (with the stock market), and commonality with the underlying property market. We find evidence that the three types of commonality in liquidity represent significant risk factors for REIT returns but only during bad market conditions. We also find that using a linear approach, rather than a conditional, would have underestimated the role of commonality in liquidity risk. This could explain (at least partly) the small impact of commonality on asset prices documented in the extant literature. We also analyze the economic sources of commonality in liquidity and find that demand-side factors prevail over supply-side factors.     

REIT Risk Premium Sensitivity and Interest Rates

This analysis investigates several aspects of the relationship between daily REIT stock risk premiums and various interest rates. Consistent with prior research, the general findings indicate that interest rates do impact REIT returns. This study specifically finds that stock returns are more sensitive to maturity rate spread between short- and long-term treasuries than the credit rate spread between commercial bonds and treasuries. In addition, the analyses document a structural model shift during the nineties that has made REITs more sensitive to credit risk. In additional to change in investor clientele, an analysis of declining REIT credit-worthiness points to a root cause for this shift.