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Does the Diversification Potential of Securitized Real Estate Vary Over Time and Should Investors Care?

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  • Liang Peng
  • Rainer Schulz

Abstract

This paper examines the dynamics of the covariance matrix of return rates for securitized real estate, other company stocks, and government bonds for a cross-section of eight countries. In-sample analysis establishes that in all countries the covariance matrix is time-varying and reacts stronger to bad than to good news. Using a realistic out-of-sample exercise, we find that portfolios selected with a forecasted dynamic covariance matrix are less risky than portfolios constructed with the static matrix. However, benefits of using the dynamic covariance matrix for active portfolio management are mostly offset by rebalancing cost. Passive buy-and-hold investors benefit, because the forecasted dynamic covariance matrix provides better risk assessment. Copyright Springer Science+Business Media, LLC 2013

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  • Liang Peng & Rainer Schulz, 2013. "Does the Diversification Potential of Securitized Real Estate Vary Over Time and Should Investors Care?," The Journal of Real Estate Finance and Economics, Springer, vol. 47(2), pages 310-340, August.
    • Handle: RePEc:kap:jrefec:v:47:y:2013:i:2:p:310-340
    DOI: 10.1007/s11146-011-9357-5
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    Cited by:

    1. Andréas Heinen & Mi Lim Kim & Alfonso Valdesogo, 2015. "Regime switching House price dependence: Evidence from MSAs in the US," ERES eres2015_201, European Real Estate Society (ERES).
    2. MeiChi Huang & LinYing Yeh, 2015. "Should the Fed take extra action for the recent housing bubble? Evidence from asymmetric transitory shocks," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 39(4), pages 762-781, October.
    3. Umit Erol & Aydin Yuksel & Asli Yuksel & Hakki Ozturk, 2020. "Cointegration and adjustment dynamics of REIT and stock markets during the global financial and European debt crises," Global Business and Economics Review, Inderscience Enterprises Ltd, vol. 23(1), pages 23-49.
    4. Huang, MeiChi & Wu, Chih-Chiang & Liu, Shih-Min & Wu, Chang-Che, 2016. "Facts or fates of investors' losses during crises? Evidence from REIT-stock volatility and tail dependence structures," International Review of Economics & Finance, Elsevier, vol. 42(C), pages 54-71.
    5. MeiChi Huang & Tzu-Chien Wang, 2015. "Housing-bubble vulnerability and diversification opportunities during housing boom–bust cycles: evidence from decomposition of asset price returns," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 54(2), pages 605-637, March.
    6. S.Aydin Yuksel & Asli Yuksel & Umit Erol & Hakki Ozturk, 2017. "The Impact of the Global Financial Crisis on the Co-Integration Relationship between Reit and Stock Markets: A Dynamic Co-Integration Approach," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 9(7), pages 86-98, July.

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    More about this item

    Keywords

    Dynamic conditional correlation; Portfolio allocation; Forecast evaluation; G11; G15; R33;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • R33 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Nonagricultural and Nonresidential Real Estate Markets

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