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Exploring the Dynamic Interdependence among the East Asian Stock Markets

Author

Listed:
  • Suthawan Prukumpai

    (Kasetsart University, Thailand)

  • Yuthana Sethapramote

    (National Institute of Development Administration, Thailand)

Abstract

Stock market interdependence has strong implication for risk diversification. Recent empirical evidence suggests that correlations between international stock markets increase during period of financial turmoil. This paper investigates the development of stock market integration in East Asia using Dynamic Conditional Correlation GARCH (DCC-GARCH) model of Engle (2002). Weekly data from January 1991 to December 2011 are used in this study. The results show that there are time-varying patterns in both volatility and correlation among the East Asian stock markets. Further, the significant evidence of positive trend in the cross-country conditional correlations is found. Particularly, such correlations increase during the periods of high market volatilities when risk diversification is needed most. These show that the East Asian stock markets are more integrated during the past decade. Therefore, regulators, prospect investors, and fund managers should pay attention in volatility transmission between markets together with the limitations of international diversification during financial crisis.

Suggested Citation

  • Suthawan Prukumpai & Yuthana Sethapramote, 2013. "Exploring the Dynamic Interdependence among the East Asian Stock Markets," Diversity, Technology, and Innovation for Operational Competitiveness: Proceedings of the 2013 International Conference on Technology Innovation and Industrial Management,, ToKnowPress.
  • Handle: RePEc:tkp:tiim13:s2_257-278
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    References listed on IDEAS

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    1. Kaminsky, Graciela L. & Reinhart, Carmen M., 2002. "Financial markets in times of stress," Journal of Development Economics, Elsevier, vol. 69(2), pages 451-470, December.
    2. Andrew Ang & Geert Bekaert, 2002. "International Asset Allocation With Regime Shifts," The Review of Financial Studies, Society for Financial Studies, vol. 15(4), pages 1137-1187.
    3. You, Leyuan & Daigler, Robert T., 2010. "Is international diversification really beneficial?," Journal of Banking & Finance, Elsevier, vol. 34(1), pages 163-173, January.
    4. Gupta, R. & Donleavy, G.D., 2009. "Benefits of diversifying investments into emerging markets with time-varying correlations: An Australian perspective," Journal of Multinational Financial Management, Elsevier, vol. 19(2), pages 160-177, April.
    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. Levy, Haim & Sarnat, Marshall, 1970. "International Diversification of Investment Portfolios," American Economic Review, American Economic Association, vol. 60(4), pages 668-675, September.
    7. Engle, Robert & Colacito, Riccardo, 2006. "Testing and Valuing Dynamic Correlations for Asset Allocation," Journal of Business & Economic Statistics, American Statistical Association, vol. 24, pages 238-253, April.
    8. 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.
    9. Ping Wang & Tomoe Moore, 2008. "Stock Market Integration For The Transition Economies: Time‐Varying Conditional Correlation Approach," Manchester School, University of Manchester, vol. 76(s1), pages 116-133, September.
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