50 Pages Posted: 5 Apr 2012
Date Written: March 1, 2012
The aim of this study is to examine whether securitized real estate returns reflect direct real estate returns or general stock market returns using international data for the U.S., U.K., and Australia. In contrast to previous research, which has generally relied on overall real estate market indices and neglected the potential long-term dynamics, our econometric evaluation is based on sector level data and caters for both the short-term and long-term dynamics of the assets as well as for the lack of leverage in the direct real estate indices. In addition to the real estate and stock market indices, the analysis includes a number of fundamental variables that are expected to influence real estate and stock returns significantly. We estimate vector error-correction models and investigate the forecast error variance decompositions and impulse responses of the assets. Both the variance decompositions and impulse responses suggest that the long-run REIT market performance is much more closely related to the direct real estate market than to the general stock market. Consequently, REITs and direct real estate should be relatively good substitutes in a long-horizon investment portfolio. The results are of relevance regarding the relationship between public and private markets in general, as the ‘duality’ of the real estate markets offers an opportunity to test whether and how closely securitized asset returns reflect the performance of underlying private assets. The study also includes implications concerning the recent financial crisis.
Keywords: Public and Private Real Estate, REITs, Property Type, Dynamics, Leverage, Fundamentals, VECM
JEL Classification: G11, G12, G01, R33, C32
Suggested Citation: Suggested Citation
Hoesli, Martin and Oikarinen, Elias, Are REITs Real Estate? Evidence from International Sector Level Data (March 1, 2012). Swiss Finance Institute Research Paper No. 12-15. Available at SSRN: https://ssrn.com/abstract=2034377 or http://dx.doi.org/10.2139/ssrn.2034377
By Andrew Ang