Removing Biases in Computed Returns: An Analysis of Bias in Equally-Weighted Return Indexes of REITs
In this paper, we apply the method for removing the upward bias in returns in equally-weighted return indexes developed by Fisher, Weaver, and Webb (2010) to real estate investment trust (REIT) stocks in the US. While we find significant bias in this index, two trends are evident: first, there is less overall bias than in non-REIT stocks, and second, the bias of REIT stocks has declined over time. These trends are consistent with growing listings of REIT stocks on the New York Stock Exchange (NYSE), as well as with increasingly higher stock prices. They also support the hypothesis that there have been significant improvements in the market micro-structure environment of REIT stocks since the early 1970s. We further apply our methodology to REIT stocks listed in the two countries with the largest number of REITs outside the US: Germany and Australia. The results support the hypothesized relationship between index bias and market micro-structure environment.
Volume (Year): 15 (2012)
Issue (Month): 1 ()
|Contact details of provider:|| Postal: Asia Real Estate Society, 51 Monroe Street, Plaza E-6, Rockville, MD 20850, USA|
Web page: http://www.asres.org/
|Order Information:|| Postal: Asian Real Estate Society, 51 Monroe Street, Plaza E-6, Rockville, MD 20850, USA|
Web: http://www.asres.org/ Email:
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Chan, Su Han & Erickson, John & Wang, Ko, 2002. "Real Estate Investment Trusts: Structure: Structure, Performance, and Investment Opportunities," OUP Catalogue, Oxford University Press, number 9780195155341.
- Ko Wang & John Erickson & George Gau & Su Han Chan, 1995. "Market Microstructure and Real Estate Returns," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 23(1), pages 85-100.
- Blume, Marshall E. & Stambaugh, Robert F., 1983. "Biases in computed returns : An application to the size effect," Journal of Financial Economics, Elsevier, vol. 12(3), pages 387-404, November.
- Marshall Blume & Robert Stambaugh, "undated". "Biases in Computed Returns: An Application to the Size Effect (Revision of 2-83)," Rodney L. White Center for Financial Research Working Papers 11-83, Wharton School Rodney L. White Center for Financial Research.
- Colin Lizieri & Charles Ward, 2000. "Commercial Real Estate Return Distributions: A Review Of Literature And Empirical Evidence," Real Estate & Planning Working Papers rep-wp2000-01, Henley Business School, Reading University.
- Camilo SERRANO & Martin HOESLI, "undated". "Global Securitized Real Estate Benchmarks and Performance," Swiss Finance Institute Research Paper Series 08-39, Swiss Finance Institute.
When requesting a correction, please mention this item's handle: RePEc:ire:issued:v:15:n:01:2012:p:43-71. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (IRER Secretary Office/Webmaster)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.