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Nonlinear Analysis of Return Time Series Model by Oriented Percolation Dynamic System

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  • Anqi Pei
  • Jun Wang

Abstract

Fluctuation dynamics of financial price changes is developed and investigated by oriented percolation system; oriented percolation is percolation with a special direction along which the activity can only propagate one way but not the other. Then, nonlinear behaviors of distribution and leverage effect of return time series are studied for the proposed model and the real stock market by comparison. We also investigate the scaling behaviors of return intervals. And a scaling function of exponential parameter is introduced to analyze fluctuation behaviors of return intervals. The empirical research exhibits that, for proper parameters, the simulation data of the model can fit the real markets to a certain extent.

Suggested Citation

  • Anqi Pei & Jun Wang, 2013. "Nonlinear Analysis of Return Time Series Model by Oriented Percolation Dynamic System," Abstract and Applied Analysis, John Wiley & Sons, vol. 2013(1).
    • Handle: RePEc:wly:jnlaaa:v:2013:y:2013:i:1:n:612738
    DOI: 10.1155/2013/612738
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    References listed on IDEAS

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    6. Junhuan Zhang & Jun Wang & Jiguang Shao, 2010. "Finite-Range Contact Process On The Market Return Intervals Distributions," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 13(05), pages 643-657.
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    Cited by:

    1. Wuyang Cheng & Jun Wang, 2014. "Nonlinear Fluctuation Behavior of Financial Time Series Model by Statistical Physics System," Abstract and Applied Analysis, John Wiley & Sons, vol. 2014(1).

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