Cumulative Tsallis entropy based on power spectrum of financial time series.

Clicks: 224
ID: 69823
2019
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Abstract
The complexity of financial time series is an important issue for nonlinear dynamic systems. Generalized power spectrum cumulative Tsallis entropy (PSCTE) is a newly proposed model for measuring dissimilarities between different time series. It solves the problem of traditional Shannon entropy inconsistency. In addition, the power spectrum is used to calculate the probability in the algorithm. In this paper, PSCTE is applied to simulation data sets, and financial time series are used to verify PSCTE reliability. The results show that PSCTE can be worked as an effective tool to measure dissimilarities and help identify signal patterns. Finally, we also obtain the geographical division of the stock market.
Reference Key
zhang2019cumulativechaos Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Zhang, Yali;Shang, Pengjian;He, Jiayi;Xiong, Hui;
Journal chaos (woodbury, ny)
Year 2019
DOI
10.1063/1.5094807
URL
Keywords
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