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Estimating and Explaining Extreme Comovements in Asia-Pacific Equity Markets

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  • Mahendra Chandra

    (Edith Cowan University, 100, Joondalup Drive, Joondalup W.A. 6027, Australia)

Abstract

The correlation structure amongst selected Asia-Pacific equity markets is examined using the Constant Correlation multivariate GARCH (CC-MGARCH) model, the Dynamic Conditional Correlation multivariate GARCH (DCC-MGARCH) model, and an Exponentially-Weighted Moving Average (EWMA) correlation measure. The markets of Australia, Hong Kong, Japan and Singapore are analyzed from 1990 to 2001 and dynamic nature of the correlation is captured and explained. We find that global as well as regional factors contribute to the correlation spikes. Extreme volatility does not necessarily result in extreme correlations between some markets and there is higher comovement between markets since the Asian financial crisis. We also find that despite common periods of high volatility, there is still economic justification for diversification within this region.

Suggested Citation

  • Mahendra Chandra, 2005. "Estimating and Explaining Extreme Comovements in Asia-Pacific Equity Markets," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 8(01), pages 53-79.
    • Handle: RePEc:wsi:rpbfmp:v:08:y:2005:i:01:n:s0219091505000348
    DOI: 10.1142/S0219091505000348
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    References listed on IDEAS

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    1. 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.
    2. Andrew Ang & Geert Bekaert, 1999. "International Asset Allocation with Time-Varying Correlations," NBER Working Papers 7056, National Bureau of Economic Research, Inc.
    3. Engle, Robert F & Sheppard, Kevin K, 2001. "Theoretical and Empirical Properties of Dynamic Conditional Correlation Multivariate GARCH," University of California at San Diego, Economics Working Paper Series qt5s2218dp, Department of Economics, UC San Diego.
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    Cited by:

    1. Al Rahahleh, Naseem & Bhatti, M. Ishaq, 2017. "Co-movement measure of information transmission on international equity markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 470(C), pages 119-131.
    2. Jon Poynter & James Winder & Tzu Tai, 2015. "An analysis of co-movements in industrial sector indices over the last 30 years," Review of Quantitative Finance and Accounting, Springer, vol. 44(1), pages 69-88, January.
    3. Luke Lin & Wen-Yuan Lin, 2018. "Does the major market influence transfer? Alternative effect on Asian stock markets," Review of Quantitative Finance and Accounting, Springer, vol. 50(4), pages 1169-1200, May.

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    More about this item

    Keywords

    Dynamic Conditional Correlation; Time-varying correlations; Asia-Pacific equity markets; GARCH models;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • G2 - Financial Economics - - Financial Institutions and Services
    • G3 - Financial Economics - - Corporate Finance and Governance

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