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Multivariate linear and nonlinear causality tests

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Listed:
  • Bai, Zhidong
  • Wong, Wing-Keung
  • Zhang, Bingzhi

Abstract

The traditional linear Granger test has been widely used to examine the linear causality among several time series in bivariate settings as well as multivariate settings. Hiemstra and Jones [19] develop a nonlinear Granger causality test in bivariate settings to investigate the nonlinear causality between stock prices and trading volume. This paper extends their work by developing a nonlinear causality test in multivariate settings.

Suggested Citation

  • Bai, Zhidong & Wong, Wing-Keung & Zhang, Bingzhi, 2010. "Multivariate linear and nonlinear causality tests," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(1), pages 5-17.
  • Handle: RePEc:eee:matcom:v:81:y:2010:i:1:p:5-17
    DOI: 10.1016/j.matcom.2010.06.008
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    References listed on IDEAS

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