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Unsmoothing valuation-based indices using multiple regimes

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  • Russell Chaplin

Abstract

Valuation error and valuation index smoothing have been the subject of a great deal of recent research efforts, largely due to concerns over the quality of investment decisions that can be made using valuation-based data. To date, unsmoothing models have assumed that the variances in valuation noise and market noise are at a constant ratio, producing a constant unsmoothing parameter. This paper proposes a model which allows this ratio to change over time, depending upon defined growth states in the observed series, using a threshold model with multiple regimes. A rent level index and initial yields are unsmoothed using this model and implied unsmoothed capital value growth rates are calculated. The implied unsmoothed capital value growth rates and unsmoothed yields are then used to construct a total returns series which is compared with the original smoothed total returns series, in terms of its mean and standard deviation, and in terms of its correlation and covariance with total returns on the FTSE. Some implications for two-way asset allocation between a portfolio of shares and property are drawn.

Suggested Citation

  • Russell Chaplin, 1997. "Unsmoothing valuation-based indices using multiple regimes," Journal of Property Research, Taylor & Francis Journals, vol. 14(3), pages 189-210, January.
  • Handle: RePEc:taf:jpropr:v:14:y:1997:i:3:p:189-210
    DOI: 10.1080/095999197368609
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    References listed on IDEAS

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    1. Gerald R. Brown & George A. Matysiak, 1998. "Valuation smoothing without temporal aggregation," Journal of Property Research, Taylor & Francis Journals, vol. 15(2), pages 89-103, January.
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    Cited by:

    1. Jean‐Christophe Delfim & Martin Hoesli, 2021. "Robust desmoothed real estate returns," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 49(1), pages 75-105, March.
    2. Jaroslav Kaizr, 2019. "Some reflections on commercial real estate indices [Vybrané úvahy nad indexy komerčních nemovitostí]," Oceňování, Prague University of Economics and Business, vol. 12(1), pages 29-41.
    3. Gerlach, Richard & Wilson, Patrick & Zurbruegg, Ralf, 2006. "Structural breaks and diversification: The impact of the 1997 Asian financial crisis on the integration of Asia-Pacific real estate markets," Journal of International Money and Finance, Elsevier, vol. 25(6), pages 974-991, October.
    4. Johnny Siu‐Hang Li & Mary R. Hardy & Ken Seng Tan, 2010. "On Pricing and Hedging the No‐Negative‐Equity Guarantee in Equity Release Mechanisms," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 77(2), pages 499-522, June.
    5. David Geltner & Bryan D. MacGregor & Gregory M. Schwann, 2003. "Appraisal Smoothing and Price Discovery in Real Estate Markets," Urban Studies, Urban Studies Journal Limited, vol. 40(5-6), pages 1047-1064, May.
    6. David Geltner & David C. Ling, 2006. "Considerations in the Design and Construction of Investment Real Estate Research Indices," Journal of Real Estate Research, American Real Estate Society, vol. 28(4), pages 411-444.
    7. Pat Wilson & Ralf Zurbruegg, 2003. "International Diversification of Real Estate Assets - Is it Worth It? Evidence from the Literature," Working Paper Series 126, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    8. Pin-te Lin & Franz Fuerst, 2014. "The integration of direct real estate and stock markets in Asia," Applied Economics, Taylor & Francis Journals, vol. 46(12), pages 1323-1334, April.
    9. K.W. Chau & Bryan D. MacGregor & Gregory M. Schwann, 2001. "Price discovery in the Hong Kong real estate market," Journal of Property Research, Taylor & Francis Journals, vol. 18(3), pages 187-216.
    10. Andreas Gohs, 2017. "Correction Procedures for Appraisal-Based Real Estate Indices," ERES eres2017_274, European Real Estate Society (ERES).

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