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.     

SEASONALITY IN AUSTRALIAN SHARE PRICE INDICES BETWEEN 1936 AND 1957

There have been a number of Australian studies which have investigated monthly equity return seasonality from 1958 to the mid-1980s. This paper extends the Australian evidence on seasonality by examining equity returns between 1936 and 1957. The major finding of the study is that returns in January are consistently higher than returns in any other month, and that returns in February and June are consistently lower than returns in other months. There is also evidence that returns in July are higher, and in March are lower, than returns in other months. However, it is the January, February and June seasonals which are significant and these remain after taking account of seasonality in ex-dividend days.     

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.     

An Investigation into the Substitutability of Equity and Mortgage REITs in Real Estate Portfolios

This paper reconciles the controversy regarding the substitutability between equity REITs (EREITs) and mortgage REITs (MREITs) in existing literature. Using CRSP/Ziman data from 1992 to 2011, we show that the driving economic factors on EREIT returns are different from those driving MREIT returns, which rejects the substitutability hypothesis. Additional tests confirm that causality runs unilaterally from EREITs to MREITs, implying the leading (subordinate) role of EREITs (MREITs). Finally, EREITs and MREITs possess disparate risk and return profiles under the full and sub-periods. In sum, strong evidence reveals that EREITs and MREITs are in fact not substitutable.     

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 relationship with REITs and bank loans: Capital structure perspectives

This paper discusses a research strategy which determines the optimum capital structure strategy and sets a reasonable required return of two-dimensional mortgages for borrowers and lenders with trade-off theory. We derived the optimum capital structure strategy of REITs and assess the mortgage risk premiums for lender. The results indicate that the REITs should maximize the value themselves by adjusting the optimum loan-to-value, make the most efficient use of the money. The lenders should seek borrowers who can pay mortgage interest continuously. At the same time, by maximizing mortgage premiums, they can set strategic objectives.     

Probability of information-based trading and the January effect

We investigate the seasonality in the probability of information-based trading (PIN)–return relationship, the ‘January PIN effect’. We find that on average stock returns decrease with PIN in January, in contrast to other calendar months. This pattern is more apparent for small stocks. We argue that this seasonality is related to the January effect. According to the analysis, the December selling pressure associated with the January effect decreases in PIN, especially for small stocks. This suggests that when the price bounces back in January, low-PIN stocks will exhibit a larger return within a small stock group, leading to the negative PIN–return pattern. Furthermore, this seasonality is not the same as other January anomalies associated with momentum and idiosyncratic risk.     

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.     

Under the Lender’s Looking Glass

This paper studies the impact of bank monitoring on the risk of US equity REITs. Using a unique, hand-collected data sample of mortgage balances, I show that bank screening and monitoring of REIT assets via utilizing secured mortgage financing (vs unsecured, public debt) lowers the overall company risk of a REIT. At the asset level, screening results in retail and office assets with higher acquisition values and located in primary markets, i.e., more transparent assets, being pledged as collateral. Further, I find evidence consistent with the role of lender monitoring for secured mortgage loans and show that properties located in closer proximity to a REIT’s headquarters are more likely to be pledged as collateral for a mortgage.     

Multivariate Modeling of Daily REIT Volatility

This paper examines volatility in REITs using a multivariate GARCH based model. The Multivariate VAR–GARCH technique documents the return and volatility linkages between REIT sub-sectors and also examines the influence of other US equity series. The motivation is for investors to incorporate time-varyng volatility and correlations in their portfolio selection. The results illustrate the differences in results when higher frequency daily data is tested in comparison to the monthly data that has been commonly used in the existing literature. The linkages both within the REIT sector and between REITs and related sectors such as value stocks are weaker than commonly found in monthly studies. The broad market would appear to be more influential in the daily case.     

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.     

Seasonality in outliers of daily stock returns: A tail that wags the dog?

We document significant intra-year seasonality in outliers of S&P500 daily rates of return. Controlling for outliers in dummy regressions reveals that both the January and Monday effects turn from insignificant to highly significant. Mean daily return on January doubles and becomes significantly higher than all other months of the year, and Monday's mean return turns significantly positive and higher than other days of the week. The recently documented Halloween effect turns significant only after controlling for outliers as June, August, and September turn out to be months with remarkably low rates of returns. Being random, outliers cannot serve as instrumental variables for designing trading rules, yet, their impact on options pricing through the increase in volatility, may be applied for profitable options strategies.     

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.     

From T-Bills to Stocks: Seasonal Anomalies Revisited

This paper employed eleven data series which consist of stocks, bonds, bills, equity premiums, term premiums, and various default premiums to investigate whether January seasonality reported in existing literature is robust across different states of the economy as this has important trading implications. For the periods 1926–1990, small stocks, small stock premiums, low grade bonds, and default premiums (spread between high grade, low grade and government bonds) reveal January seasonality and that the seasonality is robust across different states of the economy except for low grade bond returns and default premiums. January seasonality for low grade bond returns and low grade bond default premiums are primarily driven by results found during periods of economic expansion. Overall, January seasonality is more evident during the economic expansion periods although the magnitude of default premiums is larger during periods of economic contraction. Furthermore, prior findings of strong summer equity returns are primarily driven by the results found during the periods of economic contraction. It is also found that equity returns are generally higher during periods of economic expansion.     

January Seasonality in Preferred Stocks

This study documents the existence of January season-ality in preferred stocks. January seasonality is found in all grades of preferred stock while stronger summer returns are also observed in low-grade preferred, which resembles findings reported in common equity. Although January seasonality is also found in high-grade preferred stocks, a size effect-which is used to explain the January seasonality in low-grade bonds-may not be able to account for the same seasonality observed in high-grade preferred.     

Analyst Activity and Firm Value: Evidence from the REIT Sector

This paper is the first to examine (1) properties of analyst forecasts and (2) effects of analyst following on firm value for all REITs on CRSP, Compustat and I/B/E/S. Our results suggest that REITs operate in an information environment that has changed over time. We find that for periods when the REIT industry was either in the developmental stage (pre-1992), or after other structural changes in the industry (post-2000), more analysts cover REITs and forecasts are more accurate and less biased. Further, we find that mortgage REITs are more transparent than other REIT structures and exhibit properties of analyst behavior that are different from other types of REITs. Our investigation into the effect of analyst coverage on REIT value suggests that analyst coverage increases REIT value (as measured by Tobin’s q) and that the causality does not run the opposite way.

Tracking the Evolution of Idiosyncratic Risk and Cross-Sectional Expected Returns for US REITs

This paper adopts the methodology in Bali and Cakici (Journal of Financial & Quantitative Analysis, 43, 29–58, 2008) in tracking the evolution of the relation between equity REITs’ idiosyncratic risk and their cross-sectional expected returns between 1981 and 2010. In addition to the full sample period, we study this relation for (i) January 1981–December 1992, (ii) January 1993–September 2001, (iii) November 2001–August 2008 and (iv) November 2001–December 2010 and produce empirical results for (i) all sample REITs, (ii) REITs with a price greater than $10 or (iii) REITs with a price greater than $5. Each period represents different dynamics (including the Global Financial Crisis) in the life of the REIT industry and leads to a different hypothesis. Further, we present comparative results based on the Fama-French 3- and 4-factor models. Overall, we document a negative relation between idiosyncratic risk and cross-sectional expected returns and demonstrate that this negative relation changes over time. These findings amplify the “idiosyncratic volatility puzzle,” as reported in the recent finance literature. Interestingly, REITs with a price of $5-to-$10 do well in 2009 and 2010. Further, the momentum factor appears to be influential since the first-ever listing of a REIT in the S&P500 Index in early October 2001.     

Seasonality in the Option Market

This study examines call and put option returns from 1983 to 1985 for the presence of a January seasonal effect, a monthly effect, and a day-of-the-week effect. Results in dicate the presence of seasonality in call returns, with returns significantly higher in early January and significantly lower on Mondays. Put returns generally exhibit less seasonality, although out-of-the-money put options are significantly lower in January and in-the-money put options are significantly lower in early January. These results are generally consistent with stock return patterns.     

New evidence on the impact of size and taxation on the seasonality of UK equity returns

The paper investigates the extent to which capital gains taxation and the portfolio rebalancing hypothesis may account for the seasonality of UK equity returns. The empirical results show that in small firm portfolios during the period of capital gains taxation, April but not January seasonality is consistent with the tax-loss selling hypothesis. The January seasonality, which is detected even before the introduction of capital gains taxation, is also consistent with the portfolio rebalancing hypothesis until the 1980s, when such seasonality becomes increasingly insignificant.     

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.