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Testing For Causality In Variance For World Stock Exchange Indexes

Author

Listed:
  • Malgorzata Madrak-Grochowska

    (Nicolaus Copernicus University)

  • Miroslawa Zurek

    (Nicolaus Copernicus University)

Abstract

The main aim of this study was to determine the nature of the relations between selected stock exchange indexes in the world (ATX, DAX, NASDAQ, NIKKEI, FTSE and WIG20), with special emphasis on the causality in variance. Due to the characteristics of financial variables (the daily closing rates of analyzed indexes) such as: focusing on volatility, volatility of the conditional variance, skew and leptokurtic, GARCH models and Cheung- Ng test were used to study the relations between selected capital markets. The results of analysis demonstrate that selected world's capital markets are strongly linked with each other, and the volatility of one financial series has an impact on others. It may be explained by the increasing integration and liberalization of financial markets, globalization and technological advances in information flow. The results of Cheung-Ng test indicated that among the analyzed indexes of stock markets the greatest impact on the world markets has the NASDAQ index and the lowest - DAX, FTSE and WIG20. In addition, tests showed that the most vulnerable to foreign influence is the NIKKEI index, and the most independent - NASDAQ.

Suggested Citation

  • Malgorzata Madrak-Grochowska & Miroslawa Zurek, 2011. "Testing For Causality In Variance For World Stock Exchange Indexes," Oeconomia Copernicana, Institute of Economic Research, vol. 2(4), pages 5-27, December.
    • Handle: RePEc:pes:ieroec:v:2:y:2011:i:4:p:5-27
    DOI: 10.12775/OeC.2011.015
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    More about this item

    Keywords

    causality in variance; Cheung- Ng test; GARCH model;
    All these keywords.

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics

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