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Comovement of East and West Stock Market Indexes

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  • Yusoff, Yuzlizawati
  • Masih, Mansur

Abstract

Determination of diversification strategies by investors depends on the nature and magnitude of the relationships existing between different stock markets. Therefore, it is important for international investors to understand the relationship among various markets in order to diversify risk and derive high return. In a co-movement analysis a consideration that is being looked upon is the distinction between the short and the long term investor, who have different term objectives. Wavelets were used to assess the comovement and interactions of East and West stock index, namely; FBKLCI (Malaysia), FSSTI (Singapore), INDU (Indonesia), HIS (Hong Kong) and JCI (New York). The findings suggest that most of the indexes investigated in this study through the wavelet coherency shows that high coherency exists among them on the daily time scale of 32 to 512 days band. A negative correlation between them was also found among the markets, which shows a tendency in the correlation coefficients to move downwards with the timescale, except for the very long-run. In addition, it is also observed that there exists a linear relationship between the wavelet variance and wavelet timescale. The variance for most of the indexes decreases as the wavelet timescale increases. The cross correlation analysis showed that the short and medium term fluctuations for the indexes are more closely related compared to those over the long term.

Suggested Citation

  • Yusoff, Yuzlizawati & Masih, Mansur, 2014. "Comovement of East and West Stock Market Indexes," MPRA Paper 58872, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:58872
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    References listed on IDEAS

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    1. Ramsey James B. & Lampart Camille, 1998. "The Decomposition of Economic Relationships by Time Scale Using Wavelets: Expenditure and Income," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 3(1), pages 1-22, April.
    2. Luís Aguiar-Conraria & Maria Soares, 2011. "Oil and the macroeconomy: using wavelets to analyze old issues," Empirical Economics, Springer, vol. 40(3), pages 645-655, May.
    3. Vacha, Lukas & Barunik, Jozef, 2012. "Co-movement of energy commodities revisited: Evidence from wavelet coherence analysis," Energy Economics, Elsevier, vol. 34(1), pages 241-247.
    4. Rua, António & Nunes, Luís C., 2009. "International comovement of stock market returns: A wavelet analysis," Journal of Empirical Finance, Elsevier, vol. 16(4), pages 632-639, September.
    5. Candelon, Bertrand & Piplack, Jan & Straetmans, Stefan, 2008. "On measuring synchronization of bulls and bears: The case of East Asia," Journal of Banking & Finance, Elsevier, vol. 32(6), pages 1022-1035, June.
    6. Ramsey, James B. & Lampart, Camille, 1998. "Decomposition Of Economic Relationships By Timescale Using Wavelets," Macroeconomic Dynamics, Cambridge University Press, vol. 2(1), pages 49-71, March.
    7. Kizys, Renatas & Pierdzioch, Christian, 2009. "Changes in the international comovement of stock returns and asymmetric macroeconomic shocks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(2), pages 289-305, April.
    8. Hahn Shik Lee, 2004. "International transmission of stock market movements: a wavelet analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 11(3), pages 197-201.
    9. Kim Sangbae & In Francis Haeuck, 2003. "The Relationship Between Financial Variables and Real Economic Activity: Evidence From Spectral and Wavelet Analyses," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 7(4), pages 1-18, December.
    10. Gallegati Marco & Gallegati Mauro, 2007. "Wavelet Variance Analysis of Output in G-7 Countries," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 11(3), pages 1-25, September.
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    More about this item

    Keywords

    comovement of international stocks; wavelet analysis (CWT and MODWT);

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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