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Applying the Concept of Granger Causality to Detect Nonlinear Autodependencies in Time Series

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  • Witold Orzeszko

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  • Witold Orzeszko, 2008. "Applying the Concept of Granger Causality to Detect Nonlinear Autodependencies in Time Series," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 8, pages 139-146.
    • Handle: RePEc:cpn:umkdem:v:8:y:2008:p:139-146
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    File URL: http://www.dem.umk.pl/dem/archiwa/v8/17_Orzeszko.pdf
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. 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.
    4. Silvapulle, Param & Choi, Jong-Seo, 1999. "Testing for linear and nonlinear granger causality in the stock price-volume relation: Korean evidence," The Quarterly Review of Economics and Finance, Elsevier, vol. 39(1), pages 59-76.
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