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Appraisal Smoothing and Price Discovery in Real Estate Markets

Author

Listed:
  • David Geltner

    (MIT Center for Real Estate, Cambridge, MA 02139, USA. dgeltner@mit.edu)

  • Bryan D. MacGregor

    (Centre for Property Research, University of Aberdeen, Aberdeen, AB24 3QY, UK. b.d.macgregor@abdn.ac.uk)

  • Gregory M. Schwann

    (Department of Finance, University of Melbourne, Victoria 3010, Australia. gschwann@ureimelb.edu.au)

Abstract

This paper reviews the literature on price determination in the private and public real estate markets. In particular, it discusses the processes of appraisal smoothing in the private market and of price discovery between the public and the private markets. In real estate markets, the absence of good quality information on price, whether because of lack of trades or confidentiality, has led to the widespread use of appraisals for market tracking and as the basis for performance measurement. Appraisers have to make an optimum assessment of value, based on fundamental variables and market information, including transactions and a market-wide appraisal index. However, transaction prices are a noisy signal and it is the appraiser's role to extract the signal from the noise in an efficient manner. This involves a process of optimal combination of past and current information and leads to appraisal smoothing. Price discovery is the process by which the opinions of market participants about the value of an asset are combined together into a single statistic—its market price. A development of this basic concept is where two markets have a common component of value and the relevant price information is discovered first in one market and then transmitted to the second market. The process of price discovery is considered between the public and private real estate markets.

Suggested Citation

  • David Geltner & Bryan D. MacGregor & Gregory M. Schwann, 2003. "Appraisal Smoothing and Price Discovery in Real Estate Markets," Urban Studies, Urban Studies Journal Limited, vol. 40(5-6), pages 1047-1064, May.
  • Handle: RePEc:sae:urbstu:v:40:y:2003:i:5-6:p:1047-1064
    DOI: 10.1080/0042098032000074317
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    References listed on IDEAS

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    Cited by:

    1. William Mingyan Cheung & James Chicheong Lei & Desmond Tsang, 2016. "Does Property Transaction Matter in the Price Discovery of Real Estate Markets?," International Real Estate Review, Global Social Science Institute, vol. 19(1), pages 27-49.
    2. Christian Rehring & Steffen Sebastian, 2011. "Dynamics of commercial real estate asset markets, return volatility and the investment horizon," Journal of Property Research, Taylor & Francis Journals, vol. 28(4), pages 291-315, June.
    3. Charles Ka Yui Leung & Joe Cho Yiu Ng, 2018. "Macro Aspects of Housing," GRU Working Paper Series GRU_2018_016, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
    4. Neil Crosby & Steven Devaney & Colin Lizieri & Patrick McAllister, 2018. "Can Institutional Investors Bias Real Estate Portfolio Appraisals? Evidence from the Market Downturn," Journal of Business Ethics, Springer, vol. 147(3), pages 651-667, February.
    5. J. Andrew Hansz, 2005. "Prior transaction price induced smoothing: testing and calibrating the Quan--Quigley model at the disaggregate level," Journal of Property Research, Taylor & Francis Journals, vol. 21(4), pages 321-336, April.
    6. 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.
    7. Michael Stein, 2013. "German Real Estate Funds – Changes in Return Distributions and Portfolio Favourability," Ruhr Economic Papers 0454, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    8. Devaney, Steven & Xiao, Qin, 2017. "Cyclical co-movements of private real estate, public real estate and equity markets: A cross-continental spectrum," Journal of Multinational Financial Management, Elsevier, vol. 42, pages 132-151.
    9. Mick Silver, 2012. "Why House Price Indexes Differ: Measurement and Analysis," IMF Working Papers 2012/125, International Monetary Fund.
    10. Liis Ojamäe, 2009. "Making Choices in the Housing Market: A Social Construction of Housing Values," Research in Economics and Business: Central and Eastern Europe, Tallinn School of Economics and Business Administration, Tallinn University of Technology, vol. 1(2).
    11. Arnold, Stephan & Auer, Benjamin R., 2015. "What do scientists know about inflation hedging?," The North American Journal of Economics and Finance, Elsevier, vol. 34(C), pages 187-214.
    12. repec:zbw:rwirep:0454 is not listed on IDEAS
    13. Peter Öhman & Bo Söderberg & Ola Uhlin, 2011. "Accuracy of Swedish property appraisers’ forecasts of net operating income," Journal of Property Research, Taylor & Francis Journals, vol. 29(2), pages 103-122, November.

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