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Real Estate Returns Predictability Revisited: Novel Evidence from the US REITs Market

Author

Listed:
  • Kola Akinsomi

    () (School of Construction Economics and Management, University of Witwatersrand, Johannesburg, South Africa.)

  • Goodness C. Aye

    () (Department of Economics, University of Pretoria)

  • Vassilios Babalos

    () (Department of Accounting & Finance, Technological Educational Institute of Peloponnese, Greece; Department of Banking & Financial Management, University of Piraeus, Greece.)

  • Fotini Economou

    () (Centre of Planning and Economic Research, Greece & Open University of Cyprus, Cyprus.)

  • Rangan Gupta

    () (Department of Economics, University of Pretoria)

Abstract

In this paper we examine the real estate returns predictability employing US REITs and a set of possible predictors for the period January 1991 to September 2013. To this end we employ several forecasting models to test for REITs predictability under a flexible framework that captures parameter instability. Apart from the traditional factors examined in relevant studies, we also account for a series of sentiment and uncertainty indicators that may be significant predictors of REITs returns, especially during turbulent times when sentiment determines investment decisions to a greater extent. The empirical results indicate that the good predictors of REITs returns vary over time and over the forecast horizons. Our results suggest that economy-wide indicators, monetary policy instrument and sentiment indicators are among the most powerful predictors of REITs returns. The issue of the most suitable forecasting method is also discussed in detail. Our results might entail implications for investors and market authorities.

Suggested Citation

  • Kola Akinsomi & Goodness C. Aye & Vassilios Babalos & Fotini Economou & Rangan Gupta, 2014. "Real Estate Returns Predictability Revisited: Novel Evidence from the US REITs Market," Working Papers 201454, University of Pretoria, Department of Economics.
  • Handle: RePEc:pre:wpaper:201454
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Marfatia, Hardik A. & Gupta, Rangan & Cakan, Esin, 2017. "The international REIT’s time-varying response to the U.S. monetary policy and macroeconomic surprises," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 640-653.
    2. Goodness C. Aye & Matthew W. Clance & Rangan Gupta, 2017. "The Effect of Economic Uncertainty on the Housing Market Cycle," Working Papers 201757, University of Pretoria, Department of Economics.
    3. Christou, Christina & Gupta, Rangan & Hassapis, Christis, 2017. "Does economic policy uncertainty forecast real housing returns in a panel of OECD countries? A Bayesian approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 65(C), pages 50-60.
    4. Wei, Yu & Cao, Yang, 2017. "Forecasting house prices using dynamic model averaging approach: Evidence from China," Economic Modelling, Elsevier, vol. 61(C), pages 147-155.
    5. Omokolade Akinsomi & Yener Coskun & Rangan Gupta & Chi Keung Marco Lau, 2016. "Impact of Volatility and Equity Market Uncertainty on Herd Behavior: Evidence from UK REITs," Working Papers 201688, University of Pretoria, Department of Economics.

    More about this item

    Keywords

    Real estate investment trusts; return predictability; dynamic model averaging; uncertainty indicator;

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets

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