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Stock Market Integration and the Speed of Information Transmission

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Abstract

Using a unique dataset covering two years of high frequency data on the indices from markets in the U. S., London, Frankfurt, Paris, Warsaw, Prague, and Budapest, we perform cointegration and Granger causality tests with data of different frequencies (from 5 minutes to 1 day). The aim is to describe the time structure in which markets react to the information revealed in prices on other markets. The results suggest that the speed of information transmission is very fast. In all cases the strongest reaction occurs within 1 hour. Therefore, the use of daily data may be misleading when analyzing the issues of stock market integration and information transmission between markets.

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  • Alexandr Èerný & Michal Koblas, 2008. "Stock Market Integration and the Speed of Information Transmission," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 58(01-02), pages 2-20, January.
  • Handle: RePEc:fau:fauart:v:58:y:2008:i:1-2:p:2-20
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    Cited by:

    1. Horobet, Alexandra & Lupu, Radu, 2009. "Are Capital Markets Integrated? A Test of Information Transmission within the European Union," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 6(2), pages 64-80, June.
    2. repec:wdi:papers:2011-1028 is not listed on IDEAS
    3. Apergis, Nicholas & Christou, Christina & Miller, Stephen M., 2014. "Country and industry convergence of equity markets: International evidence from club convergence and clustering," The North American Journal of Economics and Finance, Elsevier, vol. 29(C), pages 36-58.
    4. Ekaterina Dorodnykh, 2012. "What Is the Degree of Convergence among Developed Equity Markets?," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 3(2), pages 2-16, April.
    5. Shahzad, Syed Jawad Hussain & Ahmed, Tanveer & Rehman, Mobeen Ur & Zakaria, Muhammad, 2014. "Relationship between Developed, Emerging and South Asian Equity Markets: Empirical Evidence with a Multivariate Framework Analysis," MPRA Paper 60398, University Library of Munich, Germany.
    6. Shahzad, Syed Jawad Hussain & Zakaria, Muhammad & Rehman, Mobeen ur & Ahmed, Tanveer & Khalid, Saniya, 2014. "Co-Movement of Pakistan Stock Exchange with India, S&P 500 and Nikkei 225: A Time-frequency (Wavelets) Analysis," MPRA Paper 60579, University Library of Munich, Germany.
    7. Horobet, Alexandra & Ilie, Livia, 2007. "On the dynamic link between stock prices and exchange rates: evidence from Romania," MPRA Paper 6429, University Library of Munich, Germany.
    8. Horvath, Roman & Petrovski, Dragan, 2013. "International stock market integration: Central and South Eastern Europe compared," Economic Systems, Elsevier, vol. 37(1), pages 81-91.
    9. Boubaker, Sabri & Jouini, Jamel, 2014. "Linkages between emerging and developed equity markets: Empirical evidence in the PMG framework," The North American Journal of Economics and Finance, Elsevier, vol. 29(C), pages 322-335.
    10. Radman Peša, Anita & Brajković, Ana, 2015. "Testing The ‘Black Swan Effect’ on Croatian Stock Market Between 2000 and 2013," MPRA Paper 69223, University Library of Munich, Germany, revised 2015.
    11. Mukherjee, Dr. Kedar nath & Mishra, Dr. R. K., 2008. "Stock Market Integration and Volatility Spillover:India and its Major Asian Counterparts," MPRA Paper 12788, University Library of Munich, Germany.
    12. Yusaku Nishimura & Yoshiro Tsutsui & Kenjiro Hirayama, 2016. "The Chinese Stock Market Does not React to the Japanese Market: Using Intraday Data to Analyse Return and Volatility Spillover Effects," The Japanese Economic Review, Japanese Economic Association, vol. 67(3), pages 280-294, September.
    13. Dragan Tevdovski, 2014. "Extreme negative coexceedances in South Eastern European stock markets," CREATES Research Papers 2014-18, Department of Economics and Business Economics, Aarhus University.
    14. Stefan Lyocsa & Tomas Vyrost & Eduard Baumohl, 2015. "Return spillovers around the globe: A network approach," Papers 1507.06242, arXiv.org, revised Nov 2015.

    More about this item

    Keywords

    stock market integration; market comovement; intra-day data; speed of information transmission; cointegration; Granger causality;

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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