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Real Estate Return Correlations: Real-World Limitations on Relationships Inferred from NCREIF Data

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  • Graff, Richard A
  • Young, Michael S

Abstract

Correlation estimates for returns between individual properties are subject to large inherent uncertainties due to limits on the amount of data that is likely to be available for the foreseeable future. After allowance for correlation sampling error, it is impossible to distinguish on an ex ante basis between the risk-reduction capabilities of mean-variance portfolio selection models and naive diversification without regard to properly type or geographical location. The na*ve portfolio diversification strategies of typical institutional real estate portfolio managers are rational responses to limitations on the informational content of statistical analyses of historical real estate data. Copyright 1996 by Kluwer Academic Publishers

Suggested Citation

  • Graff, Richard A & Young, Michael S, 1996. "Real Estate Return Correlations: Real-World Limitations on Relationships Inferred from NCREIF Data," The Journal of Real Estate Finance and Economics, Springer, vol. 13(2), pages 121-142, September.
    • Handle: RePEc:kap:jrefec:v:13:y:1996:i:2:p:121-42
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    Citations

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    Cited by:

    1. Helen Higgs & Andrew C. Worthington, 2002. "The Prospects for Geographic Diversification in UK Regional Property Investment: Implications Derived from Multivariate Cointegration Analysis," School of Economics and Finance Discussion Papers and Working Papers Series 111, School of Economics and Finance, Queensland University of Technology.
    2. Chun-Kei Tsang & Wing-Keung Wong & Ira Horowitz, 2016. "Arbitrage opportunities, efficiency, and the role of risk preferences in the Hong Kong property market," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 33(4), pages 735-754, October.
    3. Timothy W. Viezer, 1999. "Econometric Integration of Real Estate's Space and Capital Markets," Journal of Real Estate Research, American Real Estate Society, vol. 18(3), pages 503-519.
    4. Tsang, Chun-Kei & Wong, Wing-Keung & Horowitz, Ira, 2016. "A stochastic-dominance approach to determining the optimal home-size purchase: The case of Hong Kong," MPRA Paper 69175, University Library of Munich, Germany.
    5. John D. Benjamin & Peter Chinloy & William G. Hardin III, 2007. "Institutional-Grade Properties: Performance and Ownership," Journal of Real Estate Research, American Real Estate Society, vol. 29(3), pages 219-240.
    6. Michael S. Young & Susan Annis, 2002. "Performance Attributions: Pure Theory Meets Messy Reality," Journal of Real Estate Research, American Real Estate Society, vol. 23(1/2), pages 3-28.
    7. Richard A. Graff, 2001. "Off-Balance-Sheet Corporate Finance with Synthetic Leases: Shortcomings and How to Avoid Them with Synthetic Debt," Journal of Real Estate Research, American Real Estate Society, vol. 22(1/2), pages 213-242.
    8. Michael S. Young, 2000. "REIT Property-Type Sector Integration," Journal of Real Estate Research, American Real Estate Society, vol. 19(1), pages 3-21.

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