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The dynamics of return co-movements and volatility spillover effects in Greater China public property markets and international linkages

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  • Kim Hiang Liow

Abstract

Purpose - – The purpose of this paper is to examine weekly dynamic conditional correlations (DCC) and vector autoregressive (VAR)-based volatility spillover effects within the three Greater China (GC) public property markets, as well as across the GC property markets, three Asian emerging markets and two developed markets of the USA and Japan over the period from January 1999 through December 2013. Design/methodology/approach - – First, the author employ the DCC methodology proposed by Engle (2002) to examine the time-varying nature in return co-movements among the public property markets. Second, the author appeal to the generalized VAR methodology, variance decomposition and the generalized spillover index of Diebold and Yilmaz (2012) to investigate the volatility spillover effects across the real estate markets. Finally, the spillover framework is able to combine with recent developments in time series econometrics to provide a comprehensive analysis of the dynamic volatility co-movements regionally and globally. The author also examine whether there are volatility spillover regimes, as well as explore the relationship between the volatility spillover cycles and the correlation spillover cycles. Findings - – Results indicate moderate return co-movements and volatility spillover effects within and across the GC region. Cross-market volatility spillovers are bidirectional with the highest spillovers occur during the global financial crisis (GFC) period. Comparatively, the Chinese public property market's volatility is more exogenous and less influenced by other markets. The volatility spillover effects are subject to regime switching with two structural breaks detected for the five sub-groups of markets examined. There is evidence of significant dependence between the volatility spillover cycles across stock and public real estate, due to the presence of unobserved common shocks. Research limitations/implications - – Because international investors incorporate into their portfolio allocation not only the long-term price relationship but also the short-term market volatility interaction and return correlation structure, the results of this study can shed more light on the extent to which investors can benefit from regional and international diversification in the long run and short-term within and across the GC securitized property sector, with Asian emerging market and global developed markets of Japan and USA. Although it is beyond the scope of this paper, it would be interesting to examine how the two co-movement measures (volatility spillovers and correlation spillovers) can be combined in optimal covariance forecasting in global investing that includes stock and public real estate markets. Originality/value - – This is one of very few papers that comprehensively analyze the dynamic return correlations and conditional volatility spillover effects among the three GC public property markets, as well as with their selected emerging and developed partners over the last decade and during the GFC period, which is the main contribution of the study. The specific contribution is to characterize and measure cross-public real estate market volatility transmission in asset pricing through estimates of several conditional “volatility spillover” indices. In this case, a volatility spillover index is defined as share of total return variability in one public real estate market attributable to volatility surprises in another public real estate market.

Suggested Citation

  • Kim Hiang Liow, 2014. "The dynamics of return co-movements and volatility spillover effects in Greater China public property markets and international linkages," Journal of Property Investment & Finance, Emerald Group Publishing, vol. 32(6), pages 610-641, August.
  • Handle: RePEc:eme:jpifpp:v:32:y:2014:i:6:p:610-641
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    References listed on IDEAS

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    1. FrancisX. Diebold & Kamil Yilmaz, 2009. "Measuring Financial Asset Return and Volatility Spillovers, with Application to Global Equity Markets," Economic Journal, Royal Economic Society, vol. 119(534), pages 158-171, January.
    2. Groenwold, Nicolaas & Tang, Sam Hak Kan & Wu, Yanrui, 2004. "The dynamic interrelationships between the greater China share markets," China Economic Review, Elsevier, vol. 15(1), pages 45-62, January.
    3. Lizieri, Colin & Satchell, Stephen, 1997. "Interactions between Property and Equity Markets: An Investigation of Linkages in the United Kingdom 1972-1992," The Journal of Real Estate Finance and Economics, Springer, vol. 15(1), pages 11-26, July.
    4. Kamil Yilmaz, 2009. "International Business Cycle Spillovers," Koç University-TUSIAD Economic Research Forum Working Papers 0903, Koc University-TUSIAD Economic Research Forum, revised Nov 2009.
    5. Engle, Robert, 2002. "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 339-350, July.
    6. Hamao, Yasushi & Masulis, Ronald W & Ng, Victor, 1990. "Correlations in Price Changes and Volatility across International Stock Markets," Review of Financial Studies, Society for Financial Studies, vol. 3(2), pages 281-307.
    7. Graeme Newell & Kwong Wing Chau & Siu Kei Wong, 2009. "The significance of Chinese commercial property in an Asian property portfolio," Journal of Property Investment & Finance, Emerald Group Publishing, vol. 27(2), pages 102-119, March.
    8. Kim Hiang Liow, 2012. "Co‐movements and Correlations Across Asian Securitized Real Estate and Stock Markets," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 40(1), pages 97-129, March.
    9. Chuang, I-Yuan & Lu, Jin-Ray & Tswei, Keshin, 2007. "Interdependence of international equity variances: Evidence from East Asian markets," Emerging Markets Review, Elsevier, vol. 8(4), pages 311-327, December.
    10. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
    11. Y. Angela Liu & Ming-Shiun Pan, 1997. "Mean and Volatility Spillover Effects in the U.S. and Pacific–Basin Stock Markets," Multinational Finance Journal, Multinational Finance Journal, vol. 1(1), pages 47-62, March.
    12. Kristin J. Forbes & Roberto Rigobon, 2002. "No Contagion, Only Interdependence: Measuring Stock Market Comovements," Journal of Finance, American Finance Association, vol. 57(5), pages 2223-2261, October.
    13. Kim Hiang Liow & Alastair Adair, 2009. "Do Asian real estate companies add value to investment portfolio?," Journal of Property Investment & Finance, Emerald Group Publishing, vol. 27(1), pages 42-64, February.
    14. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    15. Kim Hiang Liow & Graeme Newell, 2012. "Investment Dynamics of the Greater China Securitized Real Estate Markets," Journal of Real Estate Research, American Real Estate Society, vol. 34(3), pages 399-428.
    16. Johansson, Anders C. & Ljungwall, Christer, 2009. "Spillover Effects Among the Greater China Stock Markets," World Development, Elsevier, vol. 37(4), pages 839-851, April.
    17. Antonakakis, Nikolaos, 2012. "Exchange return co-movements and volatility spillovers before and after the introduction of euro," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(5), pages 1091-1109.
    18. Jushan Bai & Pierre Perron, 2003. "Computation and analysis of multiple structural change models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 1-22.
    19. David Michayluk & Patrick J. Wilson & Ralf Zurbruegg, 2006. "Asymmetric Volatility, Correlation and Returns Dynamics Between the U.S. and U.K. Securitized Real Estate Markets," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 34(1), pages 109-131, March.
    20. Qiao, Zhuo & Chiang, Thomas C. & Wong, Wing-Keung, 2008. "Long-run equilibrium, short-term adjustment, and spillover effects across Chinese segmented stock markets and the Hong Kong stock market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 18(5), pages 425-437, December.
    21. Jang, Hoyoon & Sul, Wonsik, 2002. "The Asian financial crisis and the co-movement of Asian stock markets," Journal of Asian Economics, Elsevier, vol. 13(1), pages 94-104.
    22. Zhou, Xiangyi & Zhang, Weijin & Zhang, Jie, 2012. "Volatility spillovers between the Chinese and world equity markets," Pacific-Basin Finance Journal, Elsevier, vol. 20(2), pages 247-270.
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