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Further Evidence on Real Estate Market Efficiency

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This article investigates the extent to which condominium apartment prices in Vancouver, British Columbia are set in an efficient asset market. The empirical results provide strong evidence against market efficiency. A number of instruments, including lagged annual returns and a measure of the deviation of price from fundamental or intrinsic value, to some extent predict future returns. This suggests that a sharp run-up in house prices is due in part to irrational expectations, and thus signals a future correction as prices ultimately reflect market fundamentals. These findings have important implications for appraisals and the mortgage underwriting process. In a booming market, property may be overvalued and hence market value appraisals may exceed intrinsic or fundamental values. Given the inevitability of a market correction in the near term, a potentially useful complement to the standard valuation process would be an assessment of the likelihood of a market correction.

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  • Jim Clayton, 1998. "Further Evidence on Real Estate Market Efficiency," Journal of Real Estate Research, American Real Estate Society, vol. 15(1), pages 41-58.
  • Handle: RePEc:jre:issued:v:15:n:1:1998:p:41-58
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    Cited by:

    1. Gunther Maier & Shanaka Herath, 2009. "Real Estate Market Efficiency: A Survey of Literature," ERES eres2009_155, European Real Estate Society (ERES).
    2. Roberto Dieci & Frank Westerhoff, 2012. "A simple model of a speculative housing market," Journal of Evolutionary Economics, Springer, vol. 22(2), pages 303-329, April.
    3. Wen-Yuan Lin & I-Chun Tsai, 2016. "Asymmetric Fluctuating Behavior of China's Housing Prices," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 24(2), pages 107-126, March.
    4. Diego Salzman, 2013. "Behavioural Real Estate," ERES eres2013_334, European Real Estate Society (ERES).
    5. Tsai, I-Chun & Peng, Chien-Wen, 2016. "Linear and nonlinear dynamic relationships between housing prices and trading volumes," The North American Journal of Economics and Finance, Elsevier, vol. 38(C), pages 172-184.
    6. Eddie C. M. Hui & Joe T. Y. Wong, 2009. "The Forecasting Capacity of Housing Price Expectations," International Real Estate Review, Global Social Science Institute, vol. 12(1), pages 39-61.
    7. Isler, Ozan & Flew, Terry & Erol, Isil & Dulleck, Uwe, 2021. "Market news and credibility cues improve house price predictions: An experiment on bounded rationality in real estate," Journal of Behavioral and Experimental Finance, Elsevier, vol. 31(C).
    8. Kang, Wensheng, 2011. "Housing price dynamics and convergence in high-tech metropolitan economies," The Quarterly Review of Economics and Finance, Elsevier, vol. 51(3), pages 283-291, June.
    9. Paschalis Arvanitidis, 2006. "Property Market Purpose Efficiency: An Exploratory Analysis From an Institutional Economics Perspective," ERSA conference papers ersa06p567, European Regional Science Association.
    10. Armonat, Stefan & Pfnür, Andreas, 2002. "Basel II and the German credit crunch?," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 35585, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    11. Song Shi & Martin Young & Bob Hargreaves, 2010. "House Price-Volume Dynamics: Evidence from 12 Cities in New Zealand," Journal of Real Estate Research, American Real Estate Society, vol. 32(1), pages 75-100.
    12. Soosung Hwang & Youngha Cho & Jinho Shin, 2020. "The impact of UK household overconfidence in public information on house prices," Journal of Property Research, Taylor & Francis Journals, vol. 37(4), pages 360-389, October.
    13. Jungsun Kim & Jaewoong Won & Hyeongsoon Kim & Joonghyeok Heo, 2021. "Machine-Learning-Based Prediction of Land Prices in Seoul, South Korea," Sustainability, MDPI, vol. 13(23), pages 1-14, November.
    14. Randal Verbrugge & Alan Dorfman & William Johnson & Fred Marsh III & Robert Poole & Owen Shoemaker, 2017. "Determinants of Differential Rent Changes: Mean Reversion versus the Usual Suspects," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 45(3), pages 591-627, July.
    15. Felix Schindler, 2014. "Persistence and Predictability in UK House Price Movements," The Journal of Real Estate Finance and Economics, Springer, vol. 48(1), pages 132-163, January.
    16. Groh, Alexander P., 2004. "Risikoadjustierte Performance von Private Equity-Investitionen," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 21382, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    17. Diego A. Salzman & Remco C.J. Zwinkels, 2013. "Behavioural Real Estate," Tinbergen Institute Discussion Papers 13-088/IV/DSF58, Tinbergen Institute.
    18. Noriko Ashiya, 2015. "Determinants of Potential Seller/Lessee Benefits in Sale¡VLeaseback Transactions," International Real Estate Review, Global Social Science Institute, vol. 18(1), pages 89-112.
    19. Chien-Wen Peng & I-Chun Tsai & Wey-Wen Wu, 2011. "Price and Volume Relationship under Housing Presale System," ERES eres2011_106, European Real Estate Society (ERES).
    20. Kurmaş Akdoğan, 2019. "Size and sign asymmetries in house price adjustments," Applied Economics, Taylor & Francis Journals, vol. 51(48), pages 5268-5281, October.
    21. Randal Verbrugge & Robert Poole, 2010. "Explaining the Rent–OER Inflation Divergence, 1999–2007," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 38(4), pages 633-657, Winter.
    22. I-Chun Tsai, 2017. "The housing market and excess monetary liquidity in China," Empirical Economics, Springer, vol. 53(2), pages 599-615, September.
    23. Felix Schindler, 2013. "Predictability and Persistence of the Price Movements of the S&P/Case-Shiller House Price Indices," The Journal of Real Estate Finance and Economics, Springer, vol. 46(1), pages 44-90, January.
    24. Dirk Yandell, 2011. "Efficiency in the California Real Estate Labor Market," American Journal of Economics and Business Administration, Science Publications, vol. 3(4), pages 589-595, December.
    25. Zheng, Min & Wang, Hefei & Wang, Chengzhang & Wang, Shouyang, 2017. "Speculative behavior in a housing market: Boom and bust," Economic Modelling, Elsevier, vol. 61(C), pages 50-64.

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    JEL classification:

    • L85 - Industrial Organization - - Industry Studies: Services - - - Real Estate Services

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