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The association between stock market and exchange rates for advanced and emerging markets – A case study of the Swiss and Polish economies

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  • Gurgul, Henryk
  • Lach, Łukasz

Abstract

This paper investigates the differences in structures of causal relationships between stock and currency markets for advanced and emerging economies on the example of Switzerland and Poland. The bootstrap–based linear causality analysis as well as nonlinear causality tests were conducted for both considered countries. Results of linear causality analysis indicated that for Swiss economy the portfolio approach seems to be the right pattern while for Poland the traditional and portfolio approaches were found to be appropriate. On the other hand the results of nonlinear analysis provided solid basis to claim that for Switzerland both approaches are acceptable while for Poland nonlinear causality was not reported in any direction. Results of nonlinear causality test were generally unchanged after GARCH(1,1) filtration. The existence of strong causal links from stock to currency markets of both economies seems to have a practical application for investors helping to hedge their portfolios against currency shocks.

Suggested Citation

  • Gurgul, Henryk & Lach, Łukasz, 2012. "The association between stock market and exchange rates for advanced and emerging markets – A case study of the Swiss and Polish economies," MPRA Paper 52238, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:52238
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    as
    1. Mantalos Panagiotis, 2000. "A Graphical Investigation of the Size and Power of the Granger-Causality Tests in Integrated-Cointegrated VAR Systems," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 4(1), pages 1-18, April.
    2. repec:bla:scandj:v:78:y:1976:i:2:p:200-224 is not listed on IDEAS
    3. An-Sing Chen & James Wuh Lin, 2004. "Cointegration and detectable linear and nonlinear causality: analysis using the London Metal Exchange lead contract," Applied Economics, Taylor & Francis Journals, vol. 36(11), pages 1157-1167.
    4. Toda, Hiro Y. & Yamamoto, Taku, 1995. "Statistical inference in vector autoregressions with possibly integrated processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 225-250.
    5. Solnik, Bruno, 1987. "Using Financial Prices to Test Exchange Rate Models: A Note," Journal of Finance, American Finance Association, vol. 42(1), pages 141-149, March.
    6. Granger, Clive W.J. & Huang, Bwo-Nung & Yang, Chin W., 1998. "A Bivariate Causality between Stock Prices and Exchange Rates: Evidence from Recent Asia Flu," University of California at San Diego, Economics Working Paper Series qt9bk607p6, Department of Economics, UC San Diego.
    7. Ajayi, Richard A. & Friedman, Joseph & Mehdian, Seyed M., 1998. "On the relationship between stock returns and exchange rates: Tests of granger causality," Global Finance Journal, Elsevier, vol. 9(2), pages 241-251.
    8. Horowitz, J. L., 1995. "Bootstrap Methods In Econometrics: Theory And Numerical Performance," SFB 373 Discussion Papers 1995,63, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    9. Hiemstra, Craig & Jones, Jonathan D, 1994. "Testing for Linear and Nonlinear Granger Causality in the Stock Price-Volume Relation," Journal of Finance, American Finance Association, vol. 49(5), pages 1639-1664, December.
    10. Phillips, P.C.B., 1986. "Understanding spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 33(3), pages 311-340, December.
    11. Granger, Clive W. J. & Huangb, Bwo-Nung & Yang, Chin-Wei, 2000. "A bivariate causality between stock prices and exchange rates: evidence from recent Asianflu," The Quarterly Review of Economics and Finance, Elsevier, vol. 40(3), pages 337-354.
    12. Paul R. Krugman, 1991. "Target Zones and Exchange Rate Dynamics," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(3), pages 669-682.
    13. MacKinnon, James G, 1992. "Model Specification Tests and Artificial Regressions," Journal of Economic Literature, American Economic Association, vol. 30(1), pages 102-146, March.
    14. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    15. Henryk Gurgul & Łukasz Lach, 2009. "Linear versus nonlinear causality for DAX companies," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 19(3), pages 27-46.
    16. Dornbusch, Rudiger, 1976. "Expectations and Exchange Rate Dynamics," Journal of Political Economy, University of Chicago Press, vol. 84(6), pages 1161-1176, December.
    17. Diks Cees & Panchenko Valentyn, 2005. "A Note on the Hiemstra-Jones Test for Granger Non-causality," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 9(2), pages 1-9, June.
    18. Diks, Cees & Panchenko, Valentyn, 2006. "A new statistic and practical guidelines for nonparametric Granger causality testing," Journal of Economic Dynamics and Control, Elsevier, vol. 30(9-10), pages 1647-1669.
    19. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    20. Horowitz, Joel L., 1994. "Bootstrap-based critical values for the information matrix test," Journal of Econometrics, Elsevier, vol. 61(2), pages 395-411, April.
    21. Issam Abdalla & Victor Murinde, 1997. "Exchange rate and stock price interactions in emerging financial markets: evidence on India, Korea, Pakistan and the Philippines," Applied Financial Economics, Taylor & Francis Journals, vol. 7(1), pages 25-35.
    22. Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
    23. R. Scott Hacker & Abdulnasser Hatemi-J, 2006. "Tests for causality between integrated variables using asymptotic and bootstrap distributions: theory and application," Applied Economics, Taylor & Francis Journals, vol. 38(13), pages 1489-1500.
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    More about this item

    Keywords

    stock markets; exchange rates; Granger causality; bootstrap techniques; GARCH models;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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