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Linear versus nonlinear causalityfor dax companies

  • Henfryk Gurgul

    ()

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

  • lukasz Lach

    ()

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

This study provides empirical evidence of the joint dynamics between stock returns and trading volume using stock data for DAX companies. Our research confirms the hypothesis that traditional linear causality tests often fail to detect some kinds of nonlinear relations, while nonlinear tests do not. In many cases, the test results obtained by use of empirical data and simulation confirm a bidirectional causal relationship, while linear tests did not detect such causality at all.

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File URL: http://www.ioz.pwr.wroc.pl/boid/artykuly/3-2009/art-3-gurgul.pdf
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Article provided by Wroclaw University of Technology, Institute of Organization and Management in its journal Operations Research and Decisions.

Volume (Year): 3 (2009)
Issue (Month): ()
Pages: 27-46

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Handle: RePEc:wut:journl:v:3:y:2009:p:27-46
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  1. Granger, C. W. J., 1981. "Some properties of time series data and their use in econometric model specification," Journal of Econometrics, Elsevier, vol. 16(1), pages 121-130, May.
  2. Peter C.B. Phillips, 1985. "Understanding Spurious Regressions in Econometrics," Cowles Foundation Discussion Papers 757, Cowles Foundation for Research in Economics, Yale University.
  3. Diks, C.G.H. & Panchenko, V., 2004. "A note on the Hiemstra-Jones test for Granger non-causality," CeNDEF Working Papers 04-10, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
  4. Diks, C.G.H. & Panchenko, V., 2004. "A new statistic and practical guidelines for nonparametric Granger causality testing," CeNDEF Working Papers 04-11, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
  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. Henryk Gurgul & Paweł Majdosz & Roland Mestel, 2007. "Price–volume relations of DAX companies," Financial Markets and Portfolio Management, Springer, vol. 21(3), pages 353-379, September.
  7. 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.
  8. Asimakopoulos, Ioannis & Ayling, David & Mansor Mahmood, Wan, 2000. "Non-linear Granger causality in the currency futures returns," Economics Letters, Elsevier, vol. 68(1), pages 25-30, July.
  9. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-38, July.
  10. 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.
  11. Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
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