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Are Securitized Real Estate Returns more Predictable than Stock Returns?

  • 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)

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.

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Paper provided by Swiss Finance Institute in its series Swiss Finance Institute Research Paper Series with number 08-27.

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Length: 41 pages
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Handle: RePEc:chf:rpseri:rp0827
Contact details of provider: Web page: http://www.SwissFinanceInstitute.ch

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  1. Brandt, Michael W. & Jones, Christopher S., 2006. "Volatility Forecasting With Range-Based EGARCH Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 24, pages 470-486, October.
  2. Chan, Louis K. C. & Lakonishok, Josef, 1993. "Institutional trades and intraday stock price behavior," Journal of Financial Economics, Elsevier, vol. 33(2), pages 173-199, April.
  3. Hany Guirguis & Christos Giannikos & Randy Anderson, 2004. "The US Housing Market: Asset Pricing Forecasts Using Time Varying Coefficients," The Journal of Real Estate Finance and Economics, Springer, vol. 30(1), pages 33-53, October.
  4. Yuming Li & Ko Wang, 1995. "The Predictability of REIT Returns and Market Segmentatio," Journal of Real Estate Research, American Real Estate Society, vol. 10(4), pages 471-482.
  5. Elaine M. Worzala & Margarita Lenk & Ana Silva, 1995. "An Exploration of Neural Networks and Its Application to Real Estate Valuation," Journal of Real Estate Research, American Real Estate Society, vol. 10(2), pages 185-202.
  6. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
  7. Mei, Jianping & Liu, Crocker H, 1994. "The Predictability of Real Estate Returns and Market Timing," The Journal of Real Estate Finance and Economics, Springer, vol. 8(2), pages 115-35, March.
  8. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
  9. Michael S. Young & Richard A. Graff, 1996. "Systematic Behavior in Real Estate Investment Risk: Performance Persistence in NCREIF Returns," Journal of Real Estate Research, American Real Estate Society, vol. 12(3), pages 369-382.
  10. Nghiep Nguyen & Al Cripps, 2001. "Predicting Housing Value: A Comparison of Multiple Regression Analysis and Artificial Neural Networks," Journal of Real Estate Research, American Real Estate Society, vol. 22(3), pages 313-336.
  11. Pagan, Adrian R. & Schwert, G. William, 1990. "Alternative models for conditional stock volatility," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 267-290.
  12. Steven Devaney & Stephen Lee & Michael Young, 2004. "Serial Persistence in Individual Real Estate Returns in the UK," Real Estate & Planning Working Papers rep-wp2004-13, Henley Business School, Reading University.
  13. Camilo Serrano & Martin Hoesli, . "Forecasting EREIT Returns," Swiss Finance Institute Research Paper Series 07-35, Swiss Finance Institute.
  14. Brown, Jane P. & Song, Haiyan & McGillivray, Alan, 1997. "Forecasting UK house prices: A time varying coefficient approach," Economic Modelling, Elsevier, vol. 14(4), pages 529-548, October.
  15. Limsombunchai, Visit, 2004. "House Price Prediction: Hedonic Price Model vs. Artificial Neural Network," 2004 Conference, June 25-26, 2004, Blenheim, New Zealand 97781, New Zealand Agricultural and Resource Economics Society.
  16. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-70, March.
  17. Richard A. Graff & Michael S. Young, 1997. "Serial Persistence in Equity REIT Returns," Journal of Real Estate Research, American Real Estate Society, vol. 14(3), pages 183-214.
  18. Mei, Jianping & Lee, Ahyee, 1994. "Is There a Real Estate Factor Premium?," The Journal of Real Estate Finance and Economics, Springer, vol. 9(2), pages 113-26, September.
  19. Andersen, Torben G. & Bollerslev, Tim & Diebold, Francis X. & Ebens, Heiko, 2001. "The distribution of realized stock return volatility," Journal of Financial Economics, Elsevier, vol. 61(1), pages 43-76, July.
  20. Joseph T.L. Ooi & Kim-Hiang Liow, 2004. "Risk-Adjusted Performance of Real Estate Stocks: Evidence From Developing Markets," Journal of Real Estate Research, American Real Estate Society, vol. 26(4), pages 371-396.
  21. Edward Nelling & Joseph Gyourko, 1998. "The Predictability of Equity REIT Returns," Journal of Real Estate Research, American Real Estate Society, vol. 16(3), pages 251-268.
  22. Simon Stevenson, 2002. "Momentum Effects and Mean Reversion in Real Estate Securities," Journal of Real Estate Research, American Real Estate Society, vol. 23(1/2), pages 47-64.
  23. Liu, Crocker H & Mei, Jianping, 1992. "The Predictability of Returns on Equity REITs and Their Co-movement with Other Assets," The Journal of Real Estate Finance and Economics, Springer, vol. 5(4), pages 401-18, December.
  24. Aitken, Michael & Frino, Alex, 1996. "Execution costs associated with institutional trades on the Australian Stock Exchange," Pacific-Basin Finance Journal, Elsevier, vol. 4(1), pages 45-58, May.
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