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The Predictability of House Prices

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  • Anthony Y. Gu

    () (State University of New York, Geneseo, NY 14454)

Abstract

The level and direction of autocorrelation in house price movements differ across areas and change over time. This finding reconciles the conflicting reports in the literature. When quarterly house price indices exhibit negative autocorrelation, autocorrelation shows a positive connection to volatility and a negative connection to rate of return. Autocorrelation between longer time periods is mainly positive; it exhibits a negative relationship with volatility and a positive relationship with rate of return. Volatile house price indices tend to have lower rates of return. It would be possible to obtain excess returns by following a trading strategy based on the estimated autocorrelation.

Suggested Citation

  • Anthony Y. Gu, 2002. "The Predictability of House Prices," Journal of Real Estate Research, American Real Estate Society, vol. 24(3), pages 213-234.
  • Handle: RePEc:jre:issued:v:24:n:3:2002:p:213-234
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    Cited by:

    1. 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).
    2. 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.
    3. repec:kap:jrefec:v:56:y:2018:i:1:d:10.1007_s11146-016-9564-1 is not listed on IDEAS
    4. Andre H. Gao & George H. K. Wang, 2007. "Multiple Transactions Model: A Panel Data Approach to Estimate Housing Market Indices," Journal of Real Estate Research, American Real Estate Society, vol. 29(3), pages 241-266.
    5. Joe Tak-Yun Wong & Eddie Hui & William Seabrooke & John Raftery, 2005. "A study of the Hong Kong property market: housing price expectations," Construction Management and Economics, Taylor & Francis Journals, vol. 23(7), pages 757-765.
    6. Barros, Carlos Pestana & Gil-Alana, Luis A. & Payne, James E., 2012. "Comovements among U.S. state housing prices: Evidence from fractional cointegration," Economic Modelling, Elsevier, vol. 29(3), pages 936-942.
    7. 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.
    8. Schindler, Felix, 2009. "Volatilitätseffekte am US-amerikanischen Häusermarkt," ZEW Discussion Papers 09-048, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
    9. Ghysels, Eric & Plazzi, Alberto & Valkanov, Rossen & Torous, Walter, 2013. "Forecasting Real Estate Prices," Handbook of Economic Forecasting, Elsevier.
    10. Paul M Anglin & Yanmin Gao, 2011. "Integrating Illiquid Assets into the Portfolio Decision Process," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 39(2), pages 277-311, June.
    11. 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.
    12. Nissan, Edward & Payne, James E., 2013. "A Simple Test of σ-Convergence in U.S. Housing Prices across BEA Regions," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 43(2).
    13. Chang, Kuang-Liang, 2010. "House price dynamics, conditional higher-order moments, and density forecasts," Economic Modelling, Elsevier, vol. 27(5), pages 1029-1039, September.

    More about this item

    JEL classification:

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

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