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A General Framework for Testing the Granger Noncausality Hypothesis

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Listed:
  • Peguin-Feissolle, A.
  • Terasvirta, T.

Abstract

In this paper, new noncausality tests built 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 these test are based on a Taylor expansion of the nonlinear model around a given point in a sample space. Another test is based on artifitical neural networkd. The test appear to be well-sized and have good power properties.

Suggested Citation

  • Peguin-Feissolle, A. & Terasvirta, T., 1999. "A General Framework for Testing the Granger Noncausality Hypothesis," G.R.E.Q.A.M. 99a42, Universite Aix-Marseille III.
    • Handle: RePEc:fth:aixmeq:99a42
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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. Anne Péguin-Feissolle & Bilel Sanhaji, 2016. "Tests of the Constancy of Conditional Correlations of Unknown Functional Form in Multivariate GARCH Models," Annals of Economics and Statistics, GENES, issue 123-124, pages 77-101.
    3. Muhammad Abubakr Naeem & Saqib Farid & Safwan Mohd Nor & Syed Jawad Hussain Shahzad, 2021. "Spillover and Drivers of Uncertainty among Oil and Commodity Markets," Mathematics, MDPI, vol. 9(4), pages 1-26, February.
    4. 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.
    5. Dash, Saumya Ranjan & Maitra, Debasish, 2019. "The relationship between emerging and developed market sentiment: A wavelet-based time-frequency analysis," Journal of Behavioral and Experimental Finance, Elsevier, vol. 22(C), pages 135-150.
    6. 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.
    7. 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, University Library of Munich, Germany.
    8. 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.
    9. Dash, Saumya Ranjan & Maitra, Debasish, 2018. "Does Shariah index hedge against sentiment risk? Evidence from Indian stock market using time–frequency domain approach," Journal of Behavioral and Experimental Finance, Elsevier, vol. 19(C), pages 20-35.
    10. 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.
    11. 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.
    12. 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

    TESTING ; TIME SERIES ; ECONOMIC MODELS;
    All these keywords.

    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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