Testing For Causality In Variance For World Stock Exchange Indexes
AbstractThe 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 liberaliza-tion 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.
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Bibliographic InfoArticle provided by Polskie Towarzystwo Ekonomiczne Oddzial w Toruniu, Wydzial Nauk Ekonomicznych i Zarzadzania UMK in its journal Oeconomia Copernicana.
Volume (Year): 4 (2011)
Issue (Month): ()
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causality in variance; Cheung- Ng test; GARCH model;
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- C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
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