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Analysing correlation between the MSE index and global stock markets

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  • Ellul, Reuben

Abstract

The paper investigates the time-varying correlation between the Malta Stock Exchange (MSE) index, and five major international stock markets. An MGARCH-DCC approach is employed to measure the degree to which the MSE moves with other stock markets. Daily returns on these six stock exchange indices were computed and used to calculate dynamic conditional correlations (DCCs) between the markets. The results indicate that the local stock market appears not to be driven by the same forces that shape foreign stock markets, implying that local dynamics shape returns on the Exchange, rather than foreign events.

Suggested Citation

  • Ellul, Reuben, 2015. "Analysing correlation between the MSE index and global stock markets," MPRA Paper 72464, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:72464
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    File URL: https://mpra.ub.uni-muenchen.de/76660/8/MPRA_paper_76660.pdf
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    References listed on IDEAS

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    1. Helen Higgs & Andrew Worthington, 2004. "Transmission of returns and volatility in art markets: a multivariate GARCH analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 11(4), pages 217-222.
    2. Andrew Worthington & Helen Higgs, 2004. "Transmission of equity returns and volatility in Asian developed and emerging markets: a multivariate GARCH analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 9(1), pages 71-80.
    3. Koutmos, Gregory & Booth, G Geoffrey, 1995. "Asymmetric volatility transmission in international stock markets," Journal of International Money and Finance, Elsevier, vol. 14(6), pages 747-762, December.
    4. Bertrand Candelon & Mr. Amadou N Sy & Mr. Rabah Arezki, 2011. "Sovereign Rating News and Financial Markets Spillovers: Evidence from the European Debt Crisis," IMF Working Papers 2011/068, International Monetary Fund.
    5. Markwat, Thijs & Kole, Erik & van Dijk, Dick, 2009. "Contagion as a domino effect in global stock markets," Journal of Banking & Finance, Elsevier, vol. 33(11), pages 1996-2012, November.
    6. Hamao, Yasushi & Masulis, Ronald W & Ng, Victor, 1990. "Correlations in Price Changes and Volatility across International Stock Markets," The Review of Financial Studies, Society for Financial Studies, vol. 3(2), pages 281-307.
    7. Panayiotis Theodossiou & Unro Lee, 1993. "Mean And Volatility Spillovers Across Major National Stock Markets: Further Empirical Evidence," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 16(4), pages 337-350, December.
    8. Engle, Robert F, 2000. "Dynamic Conditional Correlation - A Simple Class of Multivariate GARCH Models," University of California at San Diego, Economics Working Paper Series qt56j4143f, Department of Economics, UC San Diego.
    9. Lin, Wen-Ling & Engle, Robert F & Ito, Takatoshi, 1994. "Do Bulls and Bears Move across Borders? International Transmission of Stock Returns and Volatility," The Review of Financial Studies, Society for Financial Studies, vol. 7(3), pages 507-538.
    10. Bollerslev, Tim, 1990. "Modelling the Coherence in Short-run Nominal Exchange Rates: A Multivariate Generalized ARCH Model," The Review of Economics and Statistics, MIT Press, vol. 72(3), pages 498-505, August.
    11. Duan Wang & Boris Podobnik & Davor Horvati'c & H. Eugene Stanley, 2011. "Quantifying and Modeling Long-Range Cross-Correlations in Multiple Time Series with Applications to World Stock Indices," Papers 1102.2240, arXiv.org.
    12. Panayiotis Theodossiou & Unro Lee, 1993. "Mean And Volatility Spillovers Across Major National Stock Markets: Further Empirical Evidence," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 16(4), pages 337-350, December.
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    Cited by:

    1. Ellul, Reuben, 2017. "Correlation between Maltese and euro area sovereign bond yields," MPRA Paper 80795, University Library of Munich, Germany.

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    More about this item

    Keywords

    MGARCH; DCC; correlation; financial in- tegration; stock indices; Malta stock exchange index (MSE);
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics

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