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The n-Zipf analysis of financial data series and biased data series

Author

Listed:
  • Vandewalle, N.
  • Ausloos, M.

Abstract

The Zipf analysis of n-words in random sequences and financial data series like the stock prices of a company has been performed. The bias as well as the resulting staircase structure of the Zipf plots are taken into account in the subsequent analysis. It is found that correlations for the sign of the fluctuations as well as for the amplitude of the fluctuations can be found in financial time series. The relevance of the n-Zipf analysis to financial sequences is underlined to be only weakly predictive for a “binary transformation level”, but could be more interesting for “higher translation levels”.

Suggested Citation

  • Vandewalle, N. & Ausloos, M., 1999. "The n-Zipf analysis of financial data series and biased data series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 268(1), pages 240-249.
    • Handle: RePEc:eee:phsmap:v:268:y:1999:i:1:p:240-249
    DOI: 10.1016/S0378-4371(99)00031-X
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    Cited by:

    1. Zhu, Bangzhu & Ma, Shujiao & Chevallier, Julien & Wei, Yiming, 2014. "Modelling the dynamics of European carbon futures price: A Zipf analysis," Economic Modelling, Elsevier, vol. 38(C), pages 372-380.
    2. Ausloos, M. & Bronlet, Ph., 2003. "Strategy for investments from Zipf law(s)," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 324(1), pages 30-37.
    3. Alvarez-Ramirez, Jose & Soriano, Angel & Cisneros, Myriam & Suarez, Rodolfo, 2003. "Symmetry/anti-symmetry phase transitions in crude oil markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 322(C), pages 583-596.

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