Libor at crossroads: Stochastic switching detection using information theory quantifiers
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DOI: 10.1016/j.chaos.2016.02.009
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- Aurelio F. Bariviera & M. Belen Guercio & Lisana B. Martinez & Osvaldo A. Rosso, 2016. "Libor at crossroads: stochastic switching detection using information theory quantifiers," Papers 1603.02874, arXiv.org.
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- Bariviera, Aurelio F. & Font-Ferrer, Alejandro & Sorrosal-Forradellas, M. Teresa & Rosso, Osvaldo A., 2019. "An information theory perspective on the informational efficiency of gold price," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
- Liu, Zhengli & Shang, Pengjian & Wang, Yuanyuan, 2020. "Characterization of time series through information quantifiers," Chaos, Solitons & Fractals, Elsevier, vol. 132(C).
- Aurelio F. Bariviera & Luciano Zunino & Osvaldo A. Rosso, 2016.
"Crude Oil Market And Geopolitical Events: An Analysis Based On Information-Theory-Based Quantifiers,"
Fuzzy Economic Review, International Association for Fuzzy-set Management and Economy (SIGEF), vol. 21(1), pages 41-51, May.
- Aurelio F. Bariviera & Luciano Zunino & Osvaldo A. Rosso, 2017. "Crude oil market and geopolitical events: an analysis based on information-theory-based quantifiers," Papers 1704.04442, arXiv.org.
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Keywords
Libor; Permutation entropy; Permutation statistical complexity; Information theory;All these keywords.
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