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Transfer entropy coefficient: Quantifying level of information flow between financial time series

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  • Teng, Yue
  • Shang, Pengjian

Abstract

In this paper, a new coefficient is proposed with the objective of quantifying the level of information flow between financial time series. This transfer entropy coefficient, which provides an assessment on the multiscale information flow between measurements, is defined in terms of the transfer entropy method and the multiscale method. The implementation of this transfer entropy coefficient is illustrated with simulated time series and financial time series. Examples taken from simulated and financial data demonstrate that the dynamic mechanism of a complex system cannot be detected solely on the basis of transfer entropy of single scale.

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  • Teng, Yue & Shang, Pengjian, 2017. "Transfer entropy coefficient: Quantifying level of information flow between financial time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 60-70.
    • Handle: RePEc:eee:phsmap:v:469:y:2017:i:c:p:60-70
    DOI: 10.1016/j.physa.2016.11.061
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