Entropy analysis in foreign exchange markets and economic crisis
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We investigate the relative market efficiency in 11 foreign exchange markets by using the Lempel-Ziv (LZ) complexity algorithm and several entropy values such as the Shannon entropy, the approximate entropy, and the sample entropy. With daily data in 11 foreign exchange markets from Jan. 2000 to Sep. 2011, we observe that mature markets have higher LZ complexities and entropy values than emerging markets. Furthermore, with sliding time windows, we also investigate the temporal evolutions of those entropies from Jan. 1994 to Sep. 2011, and we find that, after an economic crisis, the approximate entropy and the sample entropy of mature markets such as Japan, Europe and the United Kingdom suddenly become lower.
KeywordsEntropy analysis Lempel-Ziv complexity algorithm Shannon entropy Approximate entropy Sample entropy Econophysics
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- P. A. Samuelson, Ind. Manage. Rev. 6, 41 (1965).Google Scholar
- P. D. Grünwald and P. M. B. Vitányi, Shannon Information and Kolmogorov Complexity (CWI, Amsterdam, The Netherlands, 2003), Chap. 2, p. 8, unpublished manuscript.Google Scholar
- J. S. Richman and J. R. Moorman, Am. J. Physiol. — Heart C. 278, H2039 (2000).Google Scholar
- D. E. Lake, M. P. G. Joshua S. Richman and R. Moorman, Am. J. Physiol. — Reg. I 283, R789 (2002).Google Scholar
- R. N. Mantegna and H. E. Stanley, An Introduction to Econophysics: Correlations and Complexity in Finance, 1st ed. (Cambridge University Press, Cambridge, 2000), Chap. 7, p. 53Google Scholar