Removing Biases in Computed Returns: An Analysis of Bias in Equally-Weighted Return Indexes of REITs

Lawrence Fisher, Daniel G. Weaver () and Gwendolyn Webb ()
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Lawrence Fisher: Department of Finance and Economics, Rutgers Business School, Rutgers University, 111 Washington Street, Newark, NJ 07102
Daniel G. Weaver: Department of Finance and Economics, Rutgers Business School, Rutgers University, 94 Rockafeller Road, Piscataway, NJ 08854-8054
Gwendolyn Webb: The Bert W. Wasserman Department of Economics and Finance, Baruch College, Zicklin School of Business, One Bernard Baruch Way, Box B10-225 New York, New York 10010

International Real Estate Review, 2012, vol. 15, issue 1, 43-71

Abstract: 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.

Keywords: Unbiased market index; Bias in computed returns; Index construction; REITs (search for similar items in EconPapers)
JEL-codes: L85 (search for similar items in EconPapers)
Date: 2012
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