IDEAS home Printed from
   My bibliography  Save this paper

Comovement of East and West Stock Market Indexes


  • Yusoff, Yuzlizawati
  • Masih, Mansur


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

    Download full text from publisher

    File URL:
    File Function: original version
    Download Restriction: no

    References listed on IDEAS

    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. Ramsey, James B. & Lampart, Camille, 1998. "Decomposition Of Economic Relationships By Timescale Using Wavelets," Macroeconomic Dynamics, Cambridge University Press, vol. 2(01), pages 49-71, March.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    Full references (including those not matched with items on IDEAS)

    More about this item


    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

    NEP fields

    This paper has been announced in the following NEP Reports:


    Access and download statistics


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:58872. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Winter). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.