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A general framework for testing the Granger noncausality hypothesis

Author

Listed:
  • Péguin-Feissolle, Anne

    () (GREQAM-CNRS)

  • Teräsvirta, Timo

    () (Dept. of Economic Statistics, Stockholm School of Economics)

Abstract

In this paper, new noncausality tests relying on a general nonlinear framework are proposed and their performance studied by a Monte Carlo experiment and a variety of nonlinear artificial series. Two of the tests are based on a Taylor expansion of the nonlinear model around a given point in the sample space. Yet another test is based on artificial neural networks. The tests appear to be well-sized and have good power properties.

Suggested Citation

  • Péguin-Feissolle, Anne & Teräsvirta, Timo, 1999. "A general framework for testing the Granger noncausality hypothesis," SSE/EFI Working Paper Series in Economics and Finance 343, Stockholm School of Economics.
  • Handle: RePEc:hhs:hastef:0343
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    Cited by:

    1. Ruist, Erik, 2007. "The choice between two hypothesis tests," SSE/EFI Working Paper Series in Economics and Finance 667, Stockholm School of Economics.
    2. Prasad Bal, Debi & Narayan Rath, Badri, 2015. "Nonlinear causality between crude oil price and exchange rate: A comparative study of China and India," Energy Economics, Elsevier, vol. 51(C), pages 149-156.
    3. Nevin Yörük & Cumhur Erdem & Meziyet Sema Erdem, 2006. "Testing for linear and nonlinear Granger Causality in the stock price--volume relation: Turkish banking firms’ evidence," Applied Financial Economics Letters, Taylor and Francis Journals, vol. 2(3), pages 165-171, May.
    4. Philip Rothman & Dick van Dijk & Philip Hans Franses, 1999. "A Multivariate STAR Analysis of the Relationship Between Money and Output," Working Papers 9913, East Carolina University, Department of Economics.
    5. Ahmad Zubaidi Baharumshah & Venus Khim-Sen Liew & Evan Lau, 2003. "Nonlinear Mean Reversion in Real Exchange Rates: Evidence from the ASEAN-5," International Trade 0308001, EconWPA.
    6. Tiwari, Aviral Kumar & Dar, Arif Billah & Bhanja, Niyati, 2013. "Oil price and exchange rates: A wavelet based analysis for India," Economic Modelling, Elsevier, vol. 31(C), pages 414-422.
    7. Werner Kristjanpoller R. & Alejandro Sierra C., 2014. "Relationship between the dollar, the price of copper and the IPSA indifferent time scales: An approach through Wavelet," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 17(3), pages 56-85, December.
    8. Chen, Show-Lin & Tsai, Li-Ju & Wu, Jyh-Lin, 2004. "A revisit to liquidity effects--evidence from a non-linear approach," Journal of Macroeconomics, Elsevier, vol. 26(3), pages 501-517, September.
    9. João Paulo Martin Faleiros & Denisard Cnéio de Oliveira Alves, 2008. "Modelo de Crescimento Baseado nas Exportações: Evidências empíricas para Chile, Brasil e México, em uma perspectiva Não Linear," Anais do XXXVI Encontro Nacional de Economia [Proceedings of the 36th Brazilian Economics Meeting] 200807170923500, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].

    More about this item

    Keywords

    Hypothesis testing; causality; artificial neural networks; nonlinearity;

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

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