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This paper investigates volatility transmission in the U.K. REIT market. It considers how REIT volatility is related to implied volatility in both the overall stock market as well as that derived from traded options on REIT stocks. The multivariate analysis utilizes both Constant Conditional Correlation (CCC) and Dynamic Conditional Correlation (DCC) GARCH specifications to analyse the interdependence of the data. The findings confirm the presence of volatility transmission across the implied volatility of U.K. REITs, the U.K. implied volatility index, and the U.K. REIT index. The study also applies the variance decomposition approach proposed by Diebold and Yilmaz to examine spillover effects. [ABSTRACT FROM AUTHOR]

In this paper, we consider how trading volume impacts the first three moments of real estate investment trust (REIT) returns. Consistent with previous studies of the broader stock market, we find that volume is a significant factor with respect to both returns and volatility. We also find evidence supportive of Hong and Stein's (2003) Investor Heterogeneity Theory with respect to the finding that skewness in REIT index returns is significantly related to volume. [ABSTRACT FROM AUTHOR]

The issue of whether Real Estate Investment Trusts (REITs) should pursue a focused or diversified investment strategy remains an ongoing debate within both the academic and industry communities. This article considers the relationship between REITs focused on different property sectors in a Generalized Autoregressive Conditional Heteroscedasticity-Dynamic Control Correlation (GARCH-DCC) framework. The daily conditional correlations reveal that since 1990 there has been a marked upward trend in the coefficients between US REIT sub-sectors. The findings imply that REITs are behaving in a far more homogeneous manner than in the past. Furthermore, the argument that REITs should be focused in order that investors can make the diversification decision is reduced. [ABSTRACT FROM AUTHOR]

This paper assesses the response of real estate investment trusts (REIT's) to unexpected changes in US monetary policy. A critical element in this study is the use of futures markets to isolate unexpected changes in the policy rate. We find a significant negative response of REIT returns to a surprise change in the policy rate. The paper then examines the potential sources behind such an observed response. We find important differences between the REIT market and the broader equity market. Adopting a variance decomposition approach we find that monetary policy surprises consistently have an impact on REIT returns and that the dividend channel is a driving force behind this influence. The results indicate the particular sensitivity of the general real estate market to Central Bank behaviour. Copyright © 2010 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

One stylized feature of financial volatility impacting the modeling process is long memory. This article examines long memory for alternative risk measures, observed absolute and squared returns for Daily Equity real estate investment trust (REITs) and compares the findings for a market equity index. The article utilizes a variety of tests for long memory finding evidence that REIT volatility does display persistence. Trading volume is found to be strongly associated with long memory. Results suggest differences in the findings with regard to REITs in comparison to the broader equity sector. [ABSTRACT FROM AUTHOR]

This paper examines the sensitivity of real estate securities to changes in both market and central bank interest rates. It is commonly viewed that the traded real estate market is one of the industry sectors most susceptible to interest rate movements. This is due to traditional high levels of borrowing, the impact of rate changes on property yields and indirectly upon occupational demand and thus rental income. The results which are the first to examine the UK sector, highlight the impact of interest rates on UK property companies, in relation to both returns and volatility. The paper also illustrates that this sensitivity is not confined to periods of high and volatile interest rates as the sample period under examination is characterized by historically low and stable rates. [ABSTRACT FROM AUTHOR]

We investigate the influence of unanticipated changes in US monetary policy on Equity Real Estate Investment Trusts (REIT’s). Although a number of studies have investigated the issue of interest rate changes, the effect of unanticipated changes has not previously been addressed in terms of possible effects on both REIT’s returns and volatility. The results show a strong response in both the first and second moments of REIT returns to unexpected policy rate changes. The results for the impact of the shock on both mean and volatility of returns is consistent with results from studies addressing broader equity markets. However, we find evidence both against behavioral changes in volatility coincident to US monetary policy decisions and asymmetric responses to the monetary policy shock. [ABSTRACT FROM AUTHOR]

Recent evidence has suggested a strong relationship between Equity Real Estate Investment Trust (REIT) and value stocks. This article examines in depth not only the similarities in performance sectors but also the driving forces in the two sectors and the extent to which they are substitutable. The results indicate that while strong linkages are evident, there remain sufficient differences in both return behaviour and their driving forces for the two sectors to retain a level of distinctiveness. This would imply that diversification opportunities still remain and that REITs can still add value to an equity portfolio containing value stocks. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]