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Measuring the Common Component of Stock Market Fluctuations in the Asia-Pacific Region

Author

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  • Mapa, Dennis S.
  • Briones, Kristine Joy S.

Abstract

This paper fits Generalized Auto-Regressive Conditional Heteroskedasticity (GARCH) models to the daily closing stock market indices of Australia, China, Hong Kong, Indonesia, Japan, Korea, Malaysia, Philippines, Singapore, and Taiwan to compute for time-varying weights associated with the volatilities of individual indices. These weights and the returns of the various indices were then used to determine the common component of stock market returns. Our results suggest that a common component of the Asia-Pacific stock market returns exists, which significantly explains the individual country’s stock market returns. We also find that stock markets of Korea and Hong Kong are the two most sensitive to changes in the common component stock returns, while China’s stock market is the least sensitive.

Suggested Citation

  • Mapa, Dennis S. & Briones, Kristine Joy S., 2006. "Measuring the Common Component of Stock Market Fluctuations in the Asia-Pacific Region," MPRA Paper 21247, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:21247
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    File URL: https://mpra.ub.uni-muenchen.de/21247/1/MPRA_paper_21247.pdf
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    References listed on IDEAS

    as
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    Cited by:

    1. Chen, Peng, 2018. "Understanding international stock market comovements: A comparison of developed and emerging markets," International Review of Economics & Finance, Elsevier, vol. 56(C), pages 451-464.

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    More about this item

    Keywords

    Common Component; Volatility; GARCH model;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics

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