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Recovery of Real Estate Returns for Portfolio Allocation

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  • Corgel, John B
  • deRoos, Jan A

Abstract

Appraisal-based return indexes may not approximate the true real estate return distributions because of understated return volatility. Recovery of returns from reported, appraisal-based returns may be possible by evoking models to correct for appraisal-based smoothing of the second moment. Because recovery intentionally alters the volatility of the reported return distribution and the correlations among assets in the portfolio, the weights to real estate are likely affected. Our examination of the portfolio implications of altering the return distribution indicates that weights may be quite sensitive to the effects of recovery across a reasonable range of correlation regimes. A comparative analysis of several recovery models reveals that all models achieve the objective of inflating the volatility of reported returns. However, the models also change the mean of the return distribution, which either counteracts or magnifies the effect of the volatility change on allocations. These findings bring into question the applicability of recovery models in their current form. Copyright 1999 by Kluwer Academic Publishers

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  • Corgel, John B & deRoos, Jan A, 1999. "Recovery of Real Estate Returns for Portfolio Allocation," The Journal of Real Estate Finance and Economics, Springer, vol. 18(3), pages 279-296, May.
    • Handle: RePEc:kap:jrefec:v:18:y:1999:i:3:p:279-96
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    Cited by:

    1. Armonat, Stefan & Pfnür, Andreas, 2003. "Asset allocation versus entrepreneurial decisions in real estate investment," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 35582, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    2. William Mingyan Cheung & James Chicheong Lei & Desmond Tsang, 2016. "Does Property Transaction Matter in the Price Discovery of Real Estate Markets?," International Real Estate Review, Global Social Science Institute, vol. 19(1), pages 27-49.
    3. Jaroslaw Morawski & Heinz Rehkugler & Roland Füss, 2008. "The nature of listed real estate companies: property or equity market?," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 22(2), pages 101-126, June.
    4. Martin Hoesli & Jon Lekander & Witold Witkiewicz, 2004. "New International Evidence on Real Estate as a Portfolio Diversifier," Journal of Real Estate Research, American Real Estate Society, vol. 26(2), pages 161-206.
    5. Groh, Alexander P., 2004. "Risikoadjustierte Performance von Private Equity-Investitionen," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 21382, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    6. Carsten Lausberg & Stephen Lee & Moritz Müller & Cay Oertel & Tobias Schultheiß, 2020. "Risk measures for direct real estate investments with non-normal or unknown return distributions," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 6(1), pages 3-27, April.
    7. Ata Assaf, 2006. "Canadian REITs and Stock Prices: Fractional Cointegration and Long Memory," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 9(03), pages 441-462.
    8. Elias OIKARINEN & Martin HOESLI & Camilo SERRANO, 2009. "Linkages Between Direct and Securitized Real Estate," Swiss Finance Institute Research Paper Series 09-26, Swiss Finance Institute.
    9. Douglas Hodgson & Barrett Slade & Keith Vorkink, 2006. "Constructing Commercial Indices: A Semiparametric Adaptive Estimator Approach," The Journal of Real Estate Finance and Economics, Springer, vol. 32(2), pages 151-168, March.
    10. Mingyan Cheung & Chicheong Lei, 2014. "Does Property Transaction Matter in Price Discovery in Real Estate Markets? Evidence from International Firm Level Data," ERES eres2014_195, European Real Estate Society (ERES).
    11. Deng, Yongheng & McMillen, Daniel P. & Sing, Tien Foo, 2014. "Matching indices for thinly-traded commercial real estate in Singapore," Regional Science and Urban Economics, Elsevier, vol. 47(C), pages 86-98.

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