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An Empirical Study of the Stability of Hurst Exponent Behavior Applied to Russian and American Stock Markets

Author

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  • Zlotnik, Andrey

    (CEMI RAS, Moscow, Russia)

Abstract

In the paper we study the stability of Hurst exponent behavior for Russian and American financial indicators. A specific technique is developed for analysis of its performance. A grouping method is suggested built on financial time series fractal properties.

Suggested Citation

  • Zlotnik, Andrey, 2007. "An Empirical Study of the Stability of Hurst Exponent Behavior Applied to Russian and American Stock Markets," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 5(1), pages 20-29.
  • Handle: RePEc:ris:apltrx:0150
    as

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    References listed on IDEAS

    as
    1. Bollerslev, Tim & Ole Mikkelsen, Hans, 1999. "Long-term equity anticipation securities and stock market volatility dynamics," Journal of Econometrics, Elsevier, vol. 92(1), pages 75-99, September.
    2. Baillie, Richard T. & Bollerslev, Tim & Mikkelsen, Hans Ole, 1996. "Fractionally integrated generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 74(1), pages 3-30, September.
    3. Baillie, Richard T., 1996. "Long memory processes and fractional integration in econometrics," Journal of Econometrics, Elsevier, vol. 73(1), pages 5-59, July.
    4. Lo, Andrew W, 1991. "Long-Term Memory in Stock Market Prices," Econometrica, Econometric Society, vol. 59(5), pages 1279-1313, September.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    financial time series; fractal processes; persistent processes; antipersistent processes; stochastic processes; R/S-analysis; Hurst exponent;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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