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New International Evidence on Real Estate as a Portfolio Diversifier

  • Martin Hoesli

    ()

    (UNIVERSITY OF GENEVA)

  • Jon Lekander
  • Witold Witkiewicz

This paper provides an international comparison of the benefits of including real estate assets in mixed-asset portfolios. Real estate returns are desmoothed using a variant of the Geltner (1993) approach, and Bayes-Stein estimators are used to increase the stability of portfolio weight estimations. Both unhedged and hedged analyses are conducted. Real estate is found to be an effective portfolio diversifier, and even more so when both domestic and international real estate assets are considered. The optimal allocation to real estate is 15% to 25%, and remains stable when the level of the standard deviation of real estate is altered. Real estate allocation between domestic and nondomestic assets, however, varies substantially across countries, depending on whether returns are hedged or not.

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Article provided by American Real Estate Society in its journal Journal of Real Estate Research.

Volume (Year): 26 (2004)
Issue (Month): 2 ()
Pages: 161-206

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Handle: RePEc:jre:issued:v:26:n:2:2004:p:161-206
Contact details of provider: Postal: American Real Estate Society Clemson University School of Business & Behavioral Science Department of Finance 401 Sirrine Hall Clemson, SC 29634-1323
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Order Information: Postal: Diane Quarles American Real Estate Society Manager of Member Services Clemson University Box 341323 Clemson, SC 29634-1323
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  1. Jeffrey Fisher & Dean Gatzlaff & David Geltner & Donald Haurin, 2003. "Controlling for the Impact of Variable Liquidity in Commercial Real Estate Price Indices," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 31(2), pages 269-303, 06.
  2. Simon Stevenson, 2000. "International Real Estate Diversification: Empirical Tests using Hedged Indices," Journal of Real Estate Research, American Real Estate Society, vol. 19(1), pages 105-131.
  3. Geltner, David & Goetzmann, William, 2000. "Two Decades of Commercial Property Returns: A Repeated-Measures Regression-Based Version of the NCREIF Index," The Journal of Real Estate Finance and Economics, Springer, vol. 21(1), pages 5-21, July.
  4. Gregory H. Chun, 1998. "Real Estate Asset Allocations and International Real Estate Markets," International Real Estate Review, Asian Real Estate Society, vol. 1(1), pages 17-44.
  5. Jorion, Philippe, 1985. "International Portfolio Diversification with Estimation Risk," The Journal of Business, University of Chicago Press, vol. 58(3), pages 259-78, July.
  6. Gregory H. Chun & James D. Shilling, 1998. "Real Estate Asset Allocations and International Real Estate Markets," Wisconsin-Madison CULER working papers 98-04, University of Wisconsin Center for Urban Land Economic Research.
  7. David M. Geltner, 1993. "Estimating Market Values from Appraised Values without Assuming an Efficient Market," Journal of Real Estate Research, American Real Estate Society, vol. 8(3), pages 325-346.
  8. Graeme Newell & James R. Webb, 1996. "Assessing Risk for International Real Estate Investments," Journal of Real Estate Research, American Real Estate Society, vol. 11(2), pages 103-116.
  9. Julian Diaz & Marvin L. Wolverton, 1998. "A Longitudinal Examination of the Appraisal Smoothing Hypothesis," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 26(2), pages 349-358.
  10. R. Brian Webb & Mike Miles & David Guilkey, 1992. "Transactions-Driven Commercial Real Estate Returns: The Panacea to Asset Allocation Models?," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 20(2), pages 325-357.
  11. Jorion, Philippe, 1986. "Bayes-Stein Estimation for Portfolio Analysis," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 21(03), pages 279-292, September.
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