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Polish stock market and some foreign markets – dependence analysis by copulas

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Author Info

  • Henryk Gurgul

    ()
    (Department of Economics and Econometrics, Faculty of Management, University of Science and Technology, Poland)

  • Roland Mestel

    ()
    (Institute of Banking and Finance, University of Graz, Austria)

  • Robert Syrek

    ()
    (Department of Quantitative Methods, School of Economics and Computer Science, Poland)

Abstract

By applying copulas the examination was carried out to find out whether trading volume, stock return and return volatility are pairwise dependent. In the investigations it was shown that there exists a close relationship between these variables on the domestic market and between Polish stock returns and the returns of foreign stock market indexes. A similar significant relationship concerns also trading volumes. In addition, stock returns (returns volatility) of the Austrian and especially of the German stock market influence Polish trading volume. The lack of significant DJIA returns impact on the trading volume on WSE on the same day is probably caused by the fact that changes of DJIA lead changes on the European stock markets.

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Bibliographic Info

Article provided by Wroclaw University of Technology, Institute of Organization and Management in its journal Operations Research and Decisions.

Volume (Year): 2 (2008)
Issue (Month): ()
Pages: 17-35

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Handle: RePEc:wut:journl:v:2:y:2008:p:17-35

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Keywords: Copulas; dependences; stock returns; trading volume;

References

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  1. Bouye, Eric & Durlleman, Valdo & Nikeghbali, Ashkan & Riboulet, Gaël & Roncalli, Thierry, 2000. "Copulas for finance," MPRA Paper 37359, University Library of Munich, Germany.
  2. Copeland, Thomas E, 1976. "A Model of Asset Trading under the Assumption of Sequential Information Arrival," Journal of Finance, American Finance Association, vol. 31(4), pages 1149-68, September.
  3. Clark, Peter K, 1973. "A Subordinated Stochastic Process Model with Finite Variance for Speculative Prices," Econometrica, Econometric Society, vol. 41(1), pages 135-55, January.
  4. Rogalski, Richard J, 1978. "The Dependence of Prices and Volume," The Review of Economics and Statistics, MIT Press, vol. 60(2), pages 268-74, May.
  5. Lee, Bong-Soo & Rui, Oliver M., 2002. "The dynamic relationship between stock returns and trading volume: Domestic and cross-country evidence," Journal of Banking & Finance, Elsevier, vol. 26(1), pages 51-78, January.
  6. Karpoff, Jonathan M., 1987. "The Relation between Price Changes and Trading Volume: A Survey," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 22(01), pages 109-126, March.
  7. Tarun Chordia & Bhaskaran Swaminathan, 2000. "Trading Volume and Cross-Autocorrelations in Stock Returns," Journal of Finance, American Finance Association, vol. 55(2), pages 913-935, 04.
  8. Jain, Prem C. & Joh, Gun-Ho, 1988. "The Dependence between Hourly Prices and Trading Volume," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 23(03), pages 269-283, September.
  9. Ariel, Robert A, 1990. " High Stock Returns before Holidays: Existence and Evidence on Possible Causes," Journal of Finance, American Finance Association, vol. 45(5), pages 1611-26, December.
  10. Gallant, A Ronald & Rossi, Peter E & Tauchen, George, 1992. "Stock Prices and Volume," Review of Financial Studies, Society for Financial Studies, vol. 5(2), pages 199-242.
  11. Jennings, Robert H & Starks, Laura T & Fellingham, John C, 1981. "An Equilibrium Model of Asset Trading with Sequential Information Arrival," Journal of Finance, American Finance Association, vol. 36(1), pages 143-61, March.
  12. 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 1639-64, December.
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