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Testing for Granger Causality in the Presence of Chaotic Dynamics

Author

Listed:
  • Dimitrios Hristu-Varsakelis
  • Catherine Kyrtsou

Abstract

An increasing number of recent articles applying powerful tests for non-linear causality have fuelled interest in discovering complex dynamics in macroeconomic and financial data. This paper is an attempt to add to the set of available tools by proposing a test for determining the source of causal relationships when a certain class of complex dynamics, that includes chaotic non-linearities, is present.

Suggested Citation

  • Dimitrios Hristu-Varsakelis & Catherine Kyrtsou, 2010. "Testing for Granger Causality in the Presence of Chaotic Dynamics," Brussels Economic Review, ULB -- Universite Libre de Bruxelles, vol. 53(2), pages 323-327.
    • Handle: RePEc:bxr:bxrceb:2013/80946
    Note: Numéro Spécial « Special Issue on Nonlinear Financial Analysis :Editorial Introduction » Guest Editor :Catherine Kyrtsou
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    Citations

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    Cited by:

    1. Abdul Rashid & Fazal Husain, 2013. "Capital Inflows, Inflation, and the Exchange Rate Volatility- An Investigation for Linear and Nonlinear Causal Linkages," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 52(3), pages 183-206.
    2. Abdessalem GOUIDER & Ridha NOUIRA & Faouzi SBOUI, 2018. "La relation croissance-chômage en Tunisie : validation de la spécification non linéaire de la loi d’Okun," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 47, pages 27-41.
    3. Wang, Jinghua & Ngene, Geoffrey M., 2020. "Does Bitcoin still own the dominant power? An intraday analysis," International Review of Financial Analysis, Elsevier, vol. 71(C).
    4. Rashid, Abdul, 2010. "Testing for nonlinear causation between capital inflows and domestic prices," MPRA Paper 26082, University Library of Munich, Germany.
    5. Fernandez, Viviana, 2014. "Linear and non-linear causality between price indices and commodity prices," Resources Policy, Elsevier, vol. 41(C), pages 40-51.
    6. Ngene, Geoffrey M. & Lee Kim, Yea & Wang, Jinghua, 2019. "Who poisons the pool? Time-varying asymmetric and nonlinear causal inference between low-risk and high-risk bonds markets," Economic Modelling, Elsevier, vol. 81(C), pages 136-147.

    More about this item

    Keywords

    Complex Dynamics; Granger Causality; Non-linear Causality; Bivariate Noisy Mackey-Glass Model;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

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