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Unsmoothing Commercial Property Returns: A Revision to Fisher-Geltner-Webb's Unsmoothing Methodology

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  • Cho, Hoon
  • Kawaguchi, Yuichiro
  • Shilling, James D

Abstract

Fisher, Geltner, and Webb (1993), in a highly influential paper, develop a procedure to recover the underlying market values from a smoothed valuation-based commercial property return index, without assuming that the underlying property market is informationally efficient. Many papers since then have used the Fisher-Geltner-Webb unsmoothing technique to desmooth commercial property returns. We show, however, that there is an inherent bias in Fisher-Geltner-Webb unsmoothing technique and propose a simple extension of their model to correct for this bias. We then compare the performance of our improved specification to that of the Fisher-Geltner-Webb model. Copyright 2003 by Kluwer Academic Publishers

Suggested Citation

  • Cho, Hoon & Kawaguchi, Yuichiro & Shilling, James D, 2003. "Unsmoothing Commercial Property Returns: A Revision to Fisher-Geltner-Webb's Unsmoothing Methodology," The Journal of Real Estate Finance and Economics, Springer, vol. 27(3), pages 393-405, November.
    • Handle: RePEc:kap:jrefec:v:27:y:2003:i:3:p:393-405
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    Cited by:

    1. Carolina Fugazza & Massimo Guidolin & Giovanna Nicodano, 2009. "Time and Risk Diversification in Real Estate Investments: Assessing the Ex Post Economic Value," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 37(3), pages 341-381, September.
    2. Andrey Pavlov & Eva Steiner & Susan Wachter, 2018. "The Consequences of REIT Index Membership for Return Patterns," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 46(1), pages 210-250, March.
    3. Youngha Cho & Soosung Hwang & Yong-ki Lee, 2014. "The Dynamics of Appraisal Smoothing," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 42(2), pages 497-529, June.
    4. Jean‐Christophe Delfim & Martin Hoesli, 2021. "Robust desmoothed real estate returns," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 49(1), pages 75-105, March.
    5. Charles-Olivier Amédée-Manesme & Fabrice Barthélémy & Donald Keenan, 2015. "Cornish-Fisher Expansion for Commercial Real Estate Value at Risk," The Journal of Real Estate Finance and Economics, Springer, vol. 50(4), pages 439-464, May.
    6. Robert Edelstein & Daniel Quan, 2006. "How Does Appraisal Smoothing Bias Real Estate Returns Measurement?," The Journal of Real Estate Finance and Economics, Springer, vol. 32(1), pages 41-60, February.
    7. Pin-te Lin & Franz Fuerst, 2014. "The integration of direct real estate and stock markets in Asia," Applied Economics, Taylor & Francis Journals, vol. 46(12), pages 1323-1334, April.
    8. Heaney, Richard & Sriananthakumar, Sivagowry, 2012. "Time-varying correlation between stock market returns and real estate returns," Journal of Empirical Finance, Elsevier, vol. 19(4), pages 583-594.
    9. Shaun A. Bond & Soosung Hwang & Gianluca Marcato, 2006. "An Analysis of Commercial Real Estate Returns: Is there a Smoothing Puzzle?," Real Estate & Planning Working Papers rep-wp2006-17, Henley Business School, University of Reading.
    10. Andreas Gohs, 2017. "Correction Procedures for Appraisal-Based Real Estate Indices," ERES eres2017_274, European Real Estate Society (ERES).
    11. Deng, Yongheng & McMillen, Daniel P. & Sing, Tien Foo, 2014. "Matching indices for thinly-traded commercial real estate in Singapore," Regional Science and Urban Economics, Elsevier, vol. 47(C), pages 86-98.

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