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The role of the timeline in Granger causality test in the presence of daily data non-synchronism

Author

Listed:
  • Grigoryev, Ruslan

    (Kazan State Power Engineering University, Kazan, Russia)

  • Jaffry, Shabbar

    (University of Portsmouth, UK)

  • Marchenko, German

    (Kazan State Power Engineering University, Kazan, Russia)

Abstract

The factor of the earlier/later closing market, which appears in pairs of time series with non-synchronism problem exposure, may predetermine the results of the Granger causality test conducted on classic form. The shift in GMT timeline reverses the exposure of the market to the factor of earlier/later closing market, and may change the results of Granger causality test conducted on classic form. Verification of the given assumption on empirical data demonstrated that the US market, having moved from the later closing market to the earlier closing market condition (factor), started to show the behavior similar to other earlier closing markets.

Suggested Citation

  • Grigoryev, Ruslan & Jaffry, Shabbar & Marchenko, German, 2012. "The role of the timeline in Granger causality test in the presence of daily data non-synchronism," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 27(3), pages 3-19.
    • Handle: RePEc:ris:apltrx:0175
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    Cited by:

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    3. Makushkin, Mikhail & Lapshin, Victor, 2020. "Modelling tail dependencies between Russian and foreign stock markets: Application for market risk valuation," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 57, pages 30-52.
    4. Korhonen, Iikka & Peresetsky, Anatoly, 2013. "What determines stock market behavior in Russia and other emerging countries?," BOFIT Discussion Papers 4/2013, Bank of Finland, Institute for Economies in Transition.

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    More about this item

    Keywords

    interdependence; cross-market linkages; spillover; non-synchronism; synchronisation; asynchronism; comovement; Granger causality; GMT timeline; contemporaneous causality; instantaneous causality.;
    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
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • F36 - International Economics - - International Finance - - - Financial Aspects of Economic Integration
    • F37 - International Economics - - International Finance - - - International Finance Forecasting and Simulation: Models and Applications
    • F39 - International Economics - - International Finance - - - Other

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