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On the dynamic interdependence of international stock markets: A Swiss perspective

Author

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  • Dušan Isakov
  • Christophe Pérignon

Abstract

This paper studies the links existing between the Swiss stock market and the five largest stock markets in the world (USA, Japan, United Kingdom, Germany and France) in terms of return and volatility. We find that conditional heteroskedasticity is present in every market and also that conditional volatility responds asymmetrically to past shocks. In order to properly take account of these phenomena we estimate a series of bivariate asymmetric AR(1)-GARCH(1,1) models to measure the links existing between the Swiss stock market and the five other stock markets. The results indicate that the US market has the strongest influence on the Swiss market in terms of returns and volatility. Links with other markets in terms of returns are relatively weak. The German and British markets strongly influence the volatility of the Swiss market. On the other hand, we find that the Swiss market has a statistically significant but economically weak influence on the foreign markets.

Suggested Citation

  • Dušan Isakov & Christophe Pérignon, 2000. "On the dynamic interdependence of international stock markets: A Swiss perspective," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 136(II), pages 123-146, June.
    • Handle: RePEc:ses:arsjes:2000-ii-1
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    Cited by:

    1. Zhang, Xingwei & Zheng, Xiaolong & Zeng, Daniel Dajun, 2017. "The dynamic interdependence of international financial markets: An empirical study on twenty-seven stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 472(C), pages 32-42.
    2. Lorenzo Cappiello & Robert F. Engle & Kevin Sheppard, 2006. "Asymmetric Dynamics in the Correlations of Global Equity and Bond Returns," Journal of Financial Econometrics, Oxford University Press, vol. 4(4), pages 537-572.
    3. Oscar Espinosa & Fabio Nieto, 2020. "A study on the leverage effect on financial series using a TAR model: a Bayesian approach," Papers 2002.05319, arXiv.org, revised Feb 2020.
    4. Baur, Dirk & Jung, Robert C., 2006. "Return and volatility linkages between the US and the German stock market," Journal of International Money and Finance, Elsevier, vol. 25(4), pages 598-613, June.
    5. Frank Westermann, 2002. "Stochastic Trends and Cycles in National Stock Market Indices: Evidence from the U.S., the U.K. and Switzerland," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 138(III), pages 317-328, September.
    6. Elena Corallo, 2007. "The effect of the war risk: a comparison of the consequences of the two Iraq wars," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 54(3), pages 371-382, September.
    7. Parul Bhatia & Hemalatha Ramasubramanian, 2019. "Co-integration Between Sensex and Other Popular Indices: A Decadal Study," FIIB Business Review, , vol. 8(2), pages 108-117, June.

    More about this item

    JEL classification:

    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

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