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What can we see from Investment Simulation based on Generalized (m,2)-Zipf law?


  • Hokky Situngkir

    (Bandung Fe Institute)

  • Yohanes Surya

    (Surya Research International)


The paper revisits the investment simulation based on strategies exhibited by Generalized (m,2)-Zipf law to present an interesting characterization of the wildness in financial time series. The investigations of dominant strategies on each specific time series shows that longer words dominant in larger time scale exhibit shorter dominant ones in smaller time scale and vice versa. Moreover, denoting the term wildness based on persistence over short term trend and memory represented by particular length of words, we can see how wild historical fluctuations over time series data coped with the Zipf strategies.

Suggested Citation

  • Hokky Situngkir & Yohanes Surya, 2005. "What can we see from Investment Simulation based on Generalized (m,2)-Zipf law?," Finance 0504022, University Library of Munich, Germany.
  • Handle: RePEc:wpa:wuwpfi:0504022
    Note: Type of Document - pdf; pages: 19

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    References listed on IDEAS

    1. 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.
    2. Hokky Situngkir & Yohanes Surya, 2004. "Agent-based Model Construction In Financial Economic System," Finance 0405006, University Library of Munich, Germany.
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    More about this item


    Generalized (m; 2)-Zipf law; time series; fluctuations; investment.;

    JEL classification:

    • G - Financial Economics

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