A note on the Hiemstra-Jones test for Granger non-causality
We address a consistency problem in the commonly used nonparametric test for Granger causality developed by Hiemstra and Jones (1994). We show that the relationship tested is not implied by the null hypothesis of Granger non-causality. Monte Carlo simulations using processes satisfying the null hypothesis show that, for a given nominal size, the actual rejection rate may tend to one as the sample size increases. Our results imply that evidence for nonlinear Granger causality reported in the applied empirical literature should be re-interpreted.
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- Brooks, C. & Henry, O.T., 1999.
"Linear and Non-Linear Transmission of Equity Return Volatility: Evidence From the US, Japan, and Australia,"
Department of Economics - Working Papers Series
676, The University of Melbourne.
- Brooks, Chris & Henry, Olan T., 2000. "Linear and non-linear transmission of equity return volatility: evidence from the US, Japan and Australia," Economic Modelling, Elsevier, vol. 17(4), pages 497-513, December.
- Asimakopoulos, Ioannis & Ayling, David & Mansor Mahmood, Wan, 2000. "Non-linear Granger causality in the currency futures returns," Economics Letters, Elsevier, vol. 68(1), pages 25-30, July.
- Okunev, John & Wilson, Patrick & Zurbruegg, Ralf, 2002. "Relationships between Australian Real Estate and Stock Market Prices--A Case of Market Inefficiency," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 21(3), pages 181-92, April.
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