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Risk-return convergence in international public property markets

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  • Kim Hiang Liow

Abstract

The main contribution of this study is to assess the risk-return convergence, as well as its relationship with the realised correlation, relative to the global public real estate, of 12 international developed public property markets during 1990-2011. Based on the Euclidean distance method we find that average risk-return distance of the sample markets thus computed has increased over time, implying a mean-variance divergence, albeit statistically insignificant. Most of the markets are more 'divergent', as well as being more volatile during the Asian financial crisis and Global financial crisis periods. There is some evidence that risk-return convergence is positively linked to increasing correlation with the global developed public real estate over the full study period. Finally, exchange rate variable has relatively little effect on the variation of the three distance measures. We conclude that the risk and return characteristics of the developed public property markets have not become less different from each other over time, implying that the idiosyncratic 'real estate factor' and 'country factor' of individual markets might have become more important in affecting the market integration over time. This analysis and evidence contributes to our understanding of the dynamics of international developed public property market integration in global investing.

Suggested Citation

  • Kim Hiang Liow, 2015. "Risk-return convergence in international public property markets," Journal of Property Research, Taylor & Francis Journals, vol. 32(1), pages 1-32, March.
  • Handle: RePEc:taf:jpropr:v:32:y:2015:i:1:p:1-32
    DOI: 10.1080/09599916.2013.872693
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    1. Yu, Ip-Wing & Fung, Kang-Por & Tam, Chi-Sang, 2010. "Assessing financial market integration in Asia - Equity markets," Journal of Banking & Finance, Elsevier, vol. 34(12), pages 2874-2885, December.
    2. Chanwit Phengpis & Vince P. Apilado & Peggy E. Swanson, 2004. "Effects of Economic Convergence on Stock Market Returns in Major EMU Member Countries," Review of Quantitative Finance and Accounting, Springer, vol. 23(3), pages 207-227, November.
    3. Bruno Solnik & Jacques Roulet, 2000. "Dispersion as Cross-Sectional Correlation," Financial Analysts Journal, Taylor & Francis Journals, vol. 56(1), pages 54-61, January.
    4. Lorenzo Cappiello & Robert F. Engle & Kevin Sheppard, 2006. "Asymmetric Dynamics in the Correlations of Global Equity and Bond Returns," Journal of Financial Econometrics, Oxford University Press, vol. 4(4), pages 537-572.
    5. Longin, Francois & Solnik, Bruno, 1995. "Is the correlation in international equity returns constant: 1960-1990?," Journal of International Money and Finance, Elsevier, vol. 14(1), pages 3-26, February.
    6. Kim Hiang Liow, 2010. "Integration among USA, UK, Japanese and Australian securitised real estate markets: an empirical exploration," Journal of Property Research, Taylor & Francis Journals, vol. 27(4), pages 289-308, February.
    7. Michel Beine & Bertrand Candelon, 2011. "Liberalisation and stock market co-movement between emerging economies," Quantitative Finance, Taylor & Francis Journals, vol. 11(2), pages 299-312.
    8. Torben G. Andersen & Tim Bollerslev & Francis X. Diebold & Paul Labys, 2003. "Modeling and Forecasting Realized Volatility," Econometrica, Econometric Society, vol. 71(2), pages 579-625, March.
    9. 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.
    10. Jian Yang & James Kolari & Guozhong Zhu, 2005. "European public real estate market integration," Applied Financial Economics, Taylor & Francis Journals, vol. 15(13), pages 895-905.
    11. Jae H. Kim & Hristos Doucouliagos, 2005. "Realized Volatility and Correlation in Grain Futures Markets: Testing for Spill-Over Effects," Monash Econometrics and Business Statistics Working Papers 22/05, Monash University, Department of Econometrics and Business Statistics.
    12. Kim Hiang Liow, 2008. "Financial Crisis and Asian Real Estate Securities Market Interdependence: Some Additional Evidence," Journal of Property Research, Taylor & Francis Journals, vol. 25(2), pages 127-155, November.
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