Purpose: Real estate investment trusts (REITs) are historically considered as attractive assets to investors particularly as the underlying assets are properties which are income-producing. REITs also distribute substantial amount of profits as dividends to shareholders. Stephen and Simon (2005) find that REITs in a mixed asset portfolio of stocks and bonds enhance returns and reduce risk. This paper examines the role a pandemic (COVID-19) plays in the performance of global REITs index and REIT sectors.Design/methodology/approach: To examine the effects of COVID-19 on REITs, the year-to-date (YTD) returns of global returns index and REITs sectors in the United States are observed and a comparative analysis is employed from January 2020 to May 2020.Findings: Based on a three-month return ending 22 May 2020, FTSE EPRA NAREIT index is the biggest loser at −31.83% whilst the FTSE EPRA Asia–Pacific index has the lowest loss at −23.20%. The author examines YTD returns which show disparities on the effect of COVID-19 on REIT sectors. The US market is examined; most REIT sectors suffered big losses as at April 2020; the analysis reveals YTD returns for the top three REIT sector losers are lodging/resort REITs (−45.81%), retail REITs (−41.16%) and office REITs (−22.63%). Data centre REITs are the only sector REITs with positive returns at 17.66%.Practical implications: Most sector REITs during the pandemic have lost considerable value based on YTD returns as at May 2020. Flight to quality is expected during this uncertain period to REITs such as data REITs, grocery-anchored REITs and storage REITs. These REITs are not as adversely affected by COVID-19 in comparison to other REITs.Originality/value: This paper identified the impact of COVID-19 on the performance of global REITs and US sector REITs during the periods from January 2020 to May 2020.

Purpose: This paper aims to examine herding behaviour among investors and traders in UK-listed Real Estate Investment Trusts (REITs) within three market regimes (low, high and extreme volatility periods) from the period June 2004 to April 2016.Design/methodology/approach: Observations of investors in 36 REITs that trade on the London Stock Exchange as at April 2016 were used to analyse herding behaviour among investors and traders of shares of UK REITs, using a Markov regime-switching model.Findings: Although a static herding model rejects the existence of herding in REITs markets, estimates from the regime-switching model reveal substantial evidence of herding behaviour within the low volatility regime. Most interestingly, the authors observed a shift from anti-herding behaviour within the high volatility regime to herding behaviour within the low volatility regime, with this having been caused by the FTSE 100 Volatility Index (UK VIX).Originality/value: The results have various implications for decisions regarding asset allocation, diversification and value management within UK REITs. Market participants and analysts may consider that collective movements and market sentiment/psychology are determinative factors of risk-return in UK REITs. In addition, general uncertainty in the equity market, proxied by the impact of the UK VIX, may also provide a signal for increasing herding-related risks among UK REITs.

In this paper, we examine herding behavior in Turkish REITs (TREITs) by using daily closing prices over the period from 07/1/2007 to 05/30/2016. To the best of our knowledge, we are the first to examine the herding behavior in TREITs by utilizing Chang, Cheng, and Khorana's (2000) methodology. Our results indicate herding behavior, the presence of directional asymmetry, and a linear relation between volatility and herding. The evidence also suggests that herding is a persistent phenomenon and increases during market stress. We also find transition periods in both with/without asymmetry term models. Our findings suggest critical implications for portfolio managers and supervisors dealing with the behavioral aspects of irrationality arising from herding behaviors in emerging stock markets and TREITs.

This study investigates the role of macro-economic indicators in explaining direct real estate returns in South Africa (SA). Literature review is conducted to identify factors that drive direct commercial real returns and the identified drivers are tested in an emerging market. The study applies SA annual commercial real estate returns including total returns, rental growth and capital growth published by the Investment Property Databank (IPD) over the past 20 years, from 1995 to 2014, as an independent variable. The most dominant and significant factors that explain total returns across all property types and provinces in South Africa are GDP, unemployment rates and interest rates which are macro-economic indicators. Our study finds key differences between the determinants of total return and change in capital values which are different from the variables which determine rental growth – the results also highlight the heterogeneity and complexity of real estate returns. These results are important for asset managers as well as government regulatory agencies to make better informed decisions in relation to factors which affect direct real estate returns in an emerging economy.