Compositional segmentation of time series in the financial markets
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DOI: 10.1016/j.amc.2015.06.061
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References listed on IDEAS
- Prigogine, I., 1999. "Laws of nature, probability and time symmetry breaking," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 263(1), pages 528-539.
- Wong, Jian Cheng & Lian, Heng & Cheong, Siew Ann, 2009. "Detecting macroeconomic phases in the Dow Jones Industrial Average time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(21), pages 4635-4645.
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Cited by:
- Lu Bai & Lixin Cui & Lixiang Xu & Yue Wang & Zhihong Zhang & Edwin R. Hancock, 2019. "Entropic Dynamic Time Warping Kernels for Co-evolving Financial Time Series Analysis," Papers 1910.09153, arXiv.org.
- Riesgo García, María Victoria & Krzemień, Alicja & Manzanedo del Campo, Miguel Ángel & Escanciano García-Miranda, Carmen & Sánchez Lasheras, Fernando, 2018. "Rare earth elements price forecasting by means of transgenic time series developed with ARIMA models," Resources Policy, Elsevier, vol. 59(C), pages 95-102.
- Trull, Oscar & García-Díaz, J. Carlos & Peiró-Signes, A., 2022. "Multiple seasonal STL decomposition with discrete-interval moving seasonalities," Applied Mathematics and Computation, Elsevier, vol. 433(C).
- Li, Chao & Shang, Pengjian, 2018. "Complexity analysis based on generalized deviation for financial markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 494(C), pages 118-128.
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Keywords
Entropic segmentation; Segments; Time irreversibility; Detrended fluctuation analysis (DFA); Financial markets;All these keywords.
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