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The Predictability of Real Estate Returns and Market Timing

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  • Mei, Jianping
  • Liu, Crocker H
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    Abstract

    Recent evidence suggests that all asset returns are predictable to some extent with excess returns on real estate relatively easier to forecast. This raises the issue of whether we can successfully exploit this level of predictability using various market timing strategies to realize superior performance over a buy-and-hold strategy. We find that the level of predictability associated with real estate leads to moderate success in market timing, although this is not necessarily the case for the other asset classes examined in general. Besides this, real estate stocks typically have higher trading profits and higher mean risk-adjusted excess returns when compared to small stocks as well as large stocks and bonds even though most real estate stocks are small stocks. Copyright 1994 by Kluwer Academic Publishers

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    Bibliographic Info

    Article provided by Springer in its journal Journal of Real Estate Finance & Economics.

    Volume (Year): 8 (1994)
    Issue (Month): 2 (March)
    Pages: 115-35

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    Handle: RePEc:kap:jrefec:v:8:y:1994:i:2:p:115-35

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    Cited by:
    1. 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.
    2. Camilo Serrano & Martin Hoesli, 2012. "Fractional Cointegration Analysis of Securitized Real Estate," The Journal of Real Estate Finance and Economics, Springer, vol. 44(3), pages 319-338, April.
    3. Liang Peng & Rainer Schulz, 2013. "Does the Diversification Potential of Securitized Real Estate Vary Over Time and Should Investors Care?," The Journal of Real Estate Finance and Economics, Springer, vol. 47(2), pages 310-340, August.
    4. Dirk Brounen & Piet Eichholtz & David Ling, 2007. "Trading Intensity and Real Estate Performance," The Journal of Real Estate Finance and Economics, Springer, vol. 35(4), pages 449-474, November.
    5. Chris Brooks & Sotiris Tsolacos, 2001. "International Evidence of the Predictability of Prices of Securititised Real Estate Assets: Econometric Models versus Neural Networks," ICMA Centre Discussion Papers in Finance icma-dp2001-08, Henley Business School, Reading University.
    6. Camilo Serrano & Martin Hoesli, 2010. "Are Securitized Real Estate Returns more Predictable than Stock Returns?," The Journal of Real Estate Finance and Economics, Springer, vol. 41(2), pages 170-192, August.
    7. Christian Pierdzioch, 2012. "Macroeconomic Factors and the German Real Estate Market: A Stock-Market-Based Forecasting Experiment," Review of Economics & Finance, Better Advances Press, Canada, vol. 2, pages 87-96, May.
    8. 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.
    9. Ping Cheng & Stephen E. Roulac, 2007. "REIT Characteristics and Predictability," International Real Estate Review, Asian Real Estate Society, vol. 10(2), pages 23-41.
    10. Tien Foo Sing, 2004. "Common risk factors and risk premia in direct and securitized real estate markets," Journal of Property Research, Taylor & Francis Journals, vol. 21(3), pages 189-207, December.
    11. Gregory H. MacKinnon & Ashraf Al Zaman, 2009. "Real Estate for the Long Term: The Effect of Return Predictability on Long-Horizon Allocations," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 37(1), pages 117-153.
    12. Daniele Bianchi & Massimo Guidolin, 2014. "Can Linear Predictability Models Time Bull and Bear Real Estate Markets? Out-of-Sample Evidence from REIT Portfolios," The Journal of Real Estate Finance and Economics, Springer, vol. 49(1), pages 116-164, July.

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