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Multiscale Analysis of International Linkages of REIT Returns and Volatilities

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  • Jian Zhou

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Abstract

This paper extends the REIT literature on international market linkages by introducing a time scale dimension. In particular, we apply the maximum overlap discrete wavelet transform (MODWT) to seven major global REIT markets, and investigate their linkages among returns and volatilities at different time scales. Our findings suggest strong scale-dependency of the market linkages. Specifically, the linkage among returns generally increases with time scale, implying that portfolio diversification is most efficient at short time horizons. Moreover, the return linkage is found to be time varying and its dynamics varies across scales. In addition, results on the volatility linkage, which manifests itself through volatility comovements and spillover, show that volatility comovements generally strengthen as scale increases and volatility spillover varies across scales in terms of strength and direction. Our findings cast doubt on the use of the scale-free correlation coefficient as a universal measure of market linkage. Our findings can be utilized by time-scale-conscious investors to improve portfolio selection and risk management. Copyright Springer Science+Business Media, LLC 2012

Suggested Citation

  • Jian Zhou, 2012. "Multiscale Analysis of International Linkages of REIT Returns and Volatilities," The Journal of Real Estate Finance and Economics, Springer, vol. 45(4), pages 1062-1087, November.
  • Handle: RePEc:kap:jrefec:v:45:y:2012:i:4:p:1062-1087
    DOI: 10.1007/s11146-011-9302-7
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    Cited by:

    1. Liu, Xueyong & An, Haizhong & Huang, Shupei & Wen, Shaobo, 2017. "The evolution of spillover effects between oil and stock markets across multi-scales using a wavelet-based GARCH–BEKK model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 374-383.
    2. Wen-Yi CHEN & Yu-Hui LIN, 2016. "Co-Movement of Healthcare Financing in OECD Countries: Evidence from Discrete Wavelet Analyses," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 40-56, September.
    3. Silvo Dajčman, 2013. "Interdependence Between Some Major European Stock Markets - A Wavelet Lead/Lag Analysis," Prague Economic Papers, University of Economics, Prague, vol. 2013(1), pages 28-49.
    4. Kim Hiang Liow, 2012. "Volatility interdependence in European securitised real estate markets: who is the most influential?," ERES eres2012_020, European Real Estate Society (ERES).
    5. Jian Zhou & Randy Anderson, 2013. "An Empirical Investigation of Herding Behavior in the U.S. REIT Market," The Journal of Real Estate Finance and Economics, Springer, vol. 47(1), pages 83-108, July.
    6. Wang, Gang-Jin & Xie, Chi, 2015. "Correlation structure and dynamics of international real estate securities markets: A network perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 424(C), pages 176-193.
    7. Cao, Guangxi & Xu, Wei, 2016. "Nonlinear structure analysis of carbon and energy markets with MFDCCA based on maximum overlap wavelet transform," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 444(C), pages 505-523.
    8. Silvo Dajcman, 2012. "The Dynamics of Return Comovement and Spillovers Between the Czech and European Stock Markets in the Period 1997–2010," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 62(4), pages 368-390, August.

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