Detection of non-linear structure in time series
In this paper we introduce a new method to detect lags in time series by using permutation entropy. The method is applied to several well-known dynamic processes. The good power performance of the new method in detecting memory structure/lags is notable and gives rise to an expectation that it may form a suitable basis for constructive specification searches.
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- C. W. Granger & E. Maasoumi & J. Racine, 2004. "A Dependence Metric for Possibly Nonlinear Processes," Journal of Time Series Analysis, Wiley Blackwell, vol. 25(5), pages 649-669, 09.
- Matilla-Garcia, Mariano & Ruiz Marin, Manuel, 2008. "A non-parametric independence test using permutation entropy," Journal of Econometrics, Elsevier, vol. 144(1), pages 139-155, May.
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