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Information-theoretic analysis of seral dependence and cointegration

Listed author(s):
  • Escribano, Álvaro
  • Aparicio, Felipe M.

This paper presents a wider characterization of memory in time series and of co integration in terms of information-theoretic statistics such as the entropy and the mutual information between pairs of variables. This suggests a new methodology for exploratory data analysis and for testing the hypothesis of long-memory and of the existence of a co integrating relationship. We illustrate the performances of the new techniques with some simulation experiments, and finally apply them to the analysis of the relationship between pairs of financial time series from a foreign exchangerate and a stock return markets.

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File URL: http://e-archivo.uc3m.es/bitstream/handle/10016/6208/ws972714.PDF?sequence=1
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Paper provided by Universidad Carlos III de Madrid. Departamento de Estadística in its series DES - Working Papers. Statistics and Econometrics. WS with number 6208.

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Date of creation: Mar 1997
Handle: RePEc:cte:wsrepe:6208
Contact details of provider: Web page: http://portal.uc3m.es/portal/page/portal/dpto_estadistica

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  1. Mira, Santiago & Escribano, Álvaro, 1996. "Nonlinear cointegration and nonlinear error correction," DES - Working Papers. Statistics and Econometrics. WS 4546, Universidad Carlos III de Madrid. Departamento de Estadística.
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