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The Warsaw Stock Exchange Index WIG: Modelling and Forecasting

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  • Piotr Wdowinski
  • Aneta Zglinska-Pietrzak

Abstract

In this paper we have assessed an influence of the NYSE Stock Exchange indexes (DJIA and NASDAQ) and European Stock indexes (DAX and FTSE) on the Warsaw Stock Exchange index WIG within a framework of a GARCH model. By applying a procedure of checking predictive quality of econometric models as proposed by Fair and Shiller (1990), we have found that the NYSE market has relatively more power than European markets in explaining the WSE index WIG.

Suggested Citation

  • Piotr Wdowinski & Aneta Zglinska-Pietrzak, 2005. "The Warsaw Stock Exchange Index WIG: Modelling and Forecasting," CESifo Working Paper Series 1570, CESifo.
    • Handle: RePEc:ces:ceswps:_1570
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    File URL: https://www.cesifo.org/DocDL/cesifo1_wp1570.pdf
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    References listed on IDEAS

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    7. Bollerslev, Tim & Wright, Jonathan H., 2000. "Semiparametric estimation of long-memory volatility dependencies: The role of high-frequency data," Journal of Econometrics, Elsevier, vol. 98(1), pages 81-106, September.
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    Cited by:

    1. Kai Konrad & Stergios Skaperdas, 2012. "The market for protection and the origin of the state," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 50(2), pages 417-443, June.

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    More about this item

    Keywords

    Warsaw Stock Exchange; stock index; GARCH model; forecasting;
    All these keywords.

    JEL classification:

    • C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

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