The Return Performance of Real Estate Investment Trusts (REITs) and Portfolio Diversification Benefits

Author(s):  
Panagiotis Petris ◽  
Panayotis Alexakis

This study describes the emergence and the structure of Real Estate Investment Trusts (REITs) and investigates whether European REITs provide higher risk-adjusted returns and portfolio diversification benefits relative to the market portfolio. The top public listed companies of five (5) established (Belgium, France, Germany, Netherlands, UK), three (3) emerging (Italy, Spain, Ireland) and one (1) nascent (Greece) European REIT markets, are considered over period 2007 – 2018. The empirical findings denote poor performance of most European REITS over the Global Financial Crisis period but strong risk adjusted returns, overall, outperforming the equivalent European stock market indices and bonds over the first years of post - GFC period. In the recent period (2015 – 2018), most European REITs continued to deliver positive but modest risk adjusted returns relative to the previous period. The analysis provides evidence of poor portfolio diversification benefits and weak cross country diversification benefits among the European REITs.

2019 ◽  
Vol 12 (3) ◽  
pp. 311-328
Author(s):  
Peterson Owusu Junior ◽  
George Tweneboah ◽  
Kola Ijasan ◽  
Nagaratnam Jeyasreedharan

PurposeThis paper aims to contribute to knowledge by investigating the return behaviour of seven global real estate investment trusts (REITs) with respect to the appropriate distributional fit that captures tail and shape characteristics. The study adds to the knowledge of distributional properties of seven global REITs by using the generalised lambda distribution (GLD), which captures fairly well the higher moments of the returns.Design/methodology/approachThis is an empirical study with GLD through three rival methods of fitting tail and shape properties of seven REIT return data from January 2008 to November 2017. A post-Global Financial Crisis (GFC) (from July 2009) period fits from the same methods are juxtaposed for comparison.FindingsThe maximum likelihood estimates outperform the methods of moment matching and quantile matching in terms of goodness-of-fit in line with extant literature; for the post-GFC period as against the full-sample period. All three methods fit better in full-sample period than post-GFC period for all seven countries for the Region 4 support dynamics. Further, USA and Singapore possess the strongest and stronger infinite supports for both time regimes.Research limitations/implicationsThe REITs markets, however, developed, are of wide varied sizes. This makes comparison less than ideal. This is mitigated by a univariate analysis rather than multivariate one.Practical implicationsThis paper is a reminder of the inadequacy of the normal distribution, as well as the mean, variance, skewness and kurtosis measures, in describing distributions of asset returns. Investors and policymakers may look at the location and scale of GLD for decision-making about REITs.Originality/valueThe novelty of this work lies with the data used and the detailed analysis and for the post-GFC sample.


2020 ◽  
Author(s):  
PhD Aurora M. Poó ◽  
Luis Rocha Chíu ◽  
Víctor Lara Poó

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