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An Analysis of Commercial Real Estate Returns: Is there a Smoothing Puzzle?

Author

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  • Shaun A. Bond
  • Soosung Hwang
  • Gianluca Marcato

    (Department of Real Estate & Planning, University of Reading)

Abstract

In this paper we investigate the commonly used autoregressive filter method of adjusting appraisal-based real estate returns to correct for the perceived biases induced in the appraisal process. Since the early work by Geltner (1989), many papers have been written on this topic but remarkably few have considered the relationship between smoothing at the individual property level and the amount of persistence in the aggregate appraised-based index. To investigate this issue in more detail we analyse a sample of individual property level appraisal data from the Investment Property Database (IPD). We find that commonly used unsmoothing estimates overstate the extent of smoothing that takes place at the individual property level. There is also strong support for an ARFIMA representation of appraisal returns.

Suggested Citation

  • 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.
    • Handle: RePEc:rdg:repxwp:rep-wp2006-17
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    File URL: http://www.henley.reading.ac.uk/rep/fulltxt/1706.pdf
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    References listed on IDEAS

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    1. Getmansky, Mila & Lo, Andrew W. & Makarov, Igor, 2004. "An econometric model of serial correlation and illiquidity in hedge fund returns," Journal of Financial Economics, Elsevier, vol. 74(3), pages 529-609, December.
    2. Scholes, Myron & Williams, Joseph, 1977. "Estimating betas from nonsynchronous data," Journal of Financial Economics, Elsevier, vol. 5(3), pages 309-327, December.
    3. Granger, C. W. J., 1980. "Long memory relationships and the aggregation of dynamic models," Journal of Econometrics, Elsevier, vol. 14(2), pages 227-238, October.
    4. Jim Clayton & David Geltner & Stanley W. Hamilton, 2001. "Smoothing in Commercial Property Valuations: Evidence from Individual Appraisals," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 29(3), pages 337-360, March.
    5. Carmelo Giaccotto & John Clapp, 1992. "Appraisal‐Based Real Estate Returns under Alternative Market Regimes," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 20(1), pages 1-24, March.
    6. Banerjee, Anindya & Urga, Giovanni, 2005. "Modelling structural breaks, long memory and stock market volatility: an overview," Journal of Econometrics, Elsevier, vol. 129(1-2), pages 1-34.
    7. Lo, Andrew W. & Craig MacKinlay, A., 1990. "An econometric analysis of nonsynchronous trading," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 181-211.
    8. David M. Geltner, 1993. "Estimating Market Values from Appraised Values without Assuming an Efficient Market," Journal of Real Estate Research, American Real Estate Society, vol. 8(3), pages 325-346.
    9. David Geltner, 1993. "Temporal Aggregation in Real Estate Return Indices," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 21(2), pages 141-166, June.
    10. David Geltner, 1989. "Bias in Appraisal‐Based Returns," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 17(3), pages 338-352, September.
    11. Fisher, Jeffrey D & Geltner, David M & Webb, R Brian, 1994. "Value Indices of Commercial Real Estate: A Comparison of Index Construction Methods," The Journal of Real Estate Finance and Economics, Springer, vol. 9(2), pages 137-164, September.
    12. Gerald R. Brown & George A. Matysiak, 1998. "Valuation smoothing without temporal aggregation," Journal of Property Research, Taylor & Francis Journals, vol. 15(2), pages 89-103, January.
    13. Tsong‐Yue Lai & Ko Wang, 1998. "Appraisal Smoothing: The Other Side of the Story," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 26(3), pages 511-535, September.
    14. 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.
    15. Shaun A. Bond & Soosung Hwang, 2003. "A Measure of Fundamental Volatility in the Commercial Property Market," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 31(4), pages 577-600, December.
    16. Quan, Daniel C & Quigley, John M, 1991. "Price Formation and the Appraisal Function in Real Estate Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 4(2), pages 127-146, June.
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