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Are Securitized Real Estate Returns more Predictable than Stock Returns?

Author

Listed:
  • Camilo Serrano

    (University of Geneva (HEC),)

  • Martin Hoesli

    (University of Geneva (HEC and Swiss Finance Institute), University of Aberdeen (Business School), Bordeaux Ecole de Management)

Abstract

This paper examines whether the predictability of securitized real estate returns differs from that of stock returns. It also provides a cross-country comparison of securitized real estate return predictability. In contrast to most of the literature on this issue, the analysis is not based on a multifactor asset pricing framework as such analyses may bias the results. We use a time series approach and thus create a level playing field to compare the predictability of the two asset classes. Forecasts are performed with ARMA and ARMA-EGARCH models and evaluated by comparing the entire empirical distributions of prediction errors, as well as with a trading strategy. The results, based on daily data for the 1990-2007 period, show that securitized real estate returns are generally more predictable than stock returns in countries with mature and well established REIT regimes. ARMA-EGARCH models are found to have portfolio outperformance potential even in the presence of transaction costs, with generally better results for securitized real estate than for stocks.

Suggested Citation

  • Camilo Serrano & Martin Hoesli, 2008. "Are Securitized Real Estate Returns more Predictable than Stock Returns?," Swiss Finance Institute Research Paper Series 08-27, Swiss Finance Institute.
    • Handle: RePEc:chf:rpseri:rp0827
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    Cited by:

    1. Pisun Xu & Jian Yang, 2011. "U.S. Monetary Policy Surprises and International Securitized Real Estate Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 43(4), pages 459-490, November.
    2. El-Jahel, Lina & MacCulloch, Robert, 2021. "Trading in the housing market: A model with transaction costs," Mathematical Social Sciences, Elsevier, vol. 113(C), pages 89-96.
    3. Schindler, Felix & Voronkova, Svitlana, 2010. "Linkages between international securitized real estate markets: Further evidence from time-varying and stochastic cointegration," ZEW Discussion Papers 10-051, ZEW - Leibniz Centre for European Economic Research.
    4. Massimo Guidolin & Manuela Pedio & Milena T. Petrova, 2023. "The Predictability of Real Estate Excess Returns: An Out-of-Sample Economic Value Analysis," The Journal of Real Estate Finance and Economics, Springer, vol. 67(1), pages 108-149, July.
    5. Christian Pierdzioch & Daniel Hartmann, 2013. "Forecasting Eurozone real-estate returns," Applied Financial Economics, Taylor & Francis Journals, vol. 23(14), pages 1185-1196, July.
    6. Schindler, Felix, 2009. "Long-term benefits from investing in international real estate," ZEW Discussion Papers 09-023, ZEW - Leibniz Centre for European Economic Research.
    7. Omokolade Akinsomi & Goodness C. Aye & Vassilios Babalos & Fotini Economou & Rangan Gupta, 2016. "Erratum to: Real estate returns predictability revisited: novel evidence from the US REITs market," Empirical Economics, Springer, vol. 51(3), pages 1191-1191, November.
    8. Alhashel, Bader S. & Almudhaf, Fahad W. & Hansz, J. Andrew, 2018. "Can technical analysis generate superior returns in securitized property markets? Evidence from East Asia markets," Pacific-Basin Finance Journal, Elsevier, vol. 47(C), pages 92-108.
    9. Mehmet Balcilar & Rangan Gupta & Ricardo M. Sousa & Mark E. Wohar, 2021. "What Can Fifty-Two Collateralizable Wealth Measures Tell Us About Future Housing Market Returns? Evidence from U.S. State-Level Data," The Journal of Real Estate Finance and Economics, Springer, vol. 62(1), pages 81-107, January.
    10. Bertrand Candelon & Franz Fuerst & Jean-Baptiste Hasse Pages 126-139 Download PDF Data, Tools and Replication Section, 2021. "Diversification potential in real estate portfolios," International Economics, CEPII research center, issue 166, pages 126-139.
    11. 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.
    12. Ghysels, Eric & Plazzi, Alberto & Valkanov, Rossen & Torous, Walter, 2013. "Forecasting Real Estate Prices," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 509-580, Elsevier.
    13. 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.
    14. Kyriakou, Maria I. & Babalos, Vassilios & Kiohos, Apostolos & Koulakiotis, Athanasios, 2020. "Feedback trading strategies and long-term volatility," The Quarterly Review of Economics and Finance, Elsevier, vol. 76(C), pages 181-189.
    15. 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.
    16. 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.
    17. MeiChi Huang & Tzu-Chien Wang, 2015. "Housing-bubble vulnerability and diversification opportunities during housing boom–bust cycles: evidence from decomposition of asset price returns," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 54(2), pages 605-637, March.
    18. Lee, Chyi Lin & Stevenson, Simon & Cho, Hyunbum, 2022. "Listed real estate futures trading, market efficiency, and direct real estate linkages: International evidence," Journal of International Money and Finance, Elsevier, vol. 127(C).
    19. Brett Olsen & Jeffrey Stokes, 2015. "Is Farm Real Estate The Next Bubble?," The Journal of Real Estate Finance and Economics, Springer, vol. 50(3), pages 355-376, April.
    20. Bing Zhu & Colin Lizieri, 2024. "Local Beta: Has Local Real Estate Market Risk Been Priced in REIT Returns?," The Journal of Real Estate Finance and Economics, Springer, vol. 69(4), pages 682-718, November.
    21. Jian Zhou & Jin Man Lee, 2013. "Adaptive market hypothesis: evidence from the REIT market," Applied Financial Economics, Taylor & Francis Journals, vol. 23(21), pages 1649-1662, November.
    22. John Cotter & Richard Roll, 2015. "A Comparative Anatomy of Residential REITs and Private Real Estate Markets: Returns, Risks and Distributional Characteristics," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 43(1), pages 209-240, March.

    More about this item

    Keywords

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    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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