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Statistical analysis of 5 s index data of the Budapest Stock Exchange

Author

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  • Jánosi, Imre M
  • Janecskó, Balázs
  • Kondor, Imre

Abstract

A statistical analysis of the Budapest Stock Index (BUX) is presented. The high time resolution (5 s sampling) makes it possible to extract information on market functioning which does not emerge from daily data. The main results are as follows: from a statistical point of view the large drop in October 1997 was a “normal” event. Strong autocorrelation has been detected in the volatility and market activity data. Detrended fluctuation analysis reveals “superdiffusive” scaling without persistence. Finally, we report on a simple method for mapping local trends to represent sequences in order to obtain pattern statistics.

Suggested Citation

  • Jánosi, Imre M & Janecskó, Balázs & Kondor, Imre, 1999. "Statistical analysis of 5 s index data of the Budapest Stock Exchange," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 269(1), pages 111-124.
    • Handle: RePEc:eee:phsmap:v:269:y:1999:i:1:p:111-124
    DOI: 10.1016/S0378-4371(99)00085-0
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    Citations

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    Cited by:

    1. Ohashi, Alberto Masayoshi F ., 2001. "Instability and chaotic dynamics in stock returns," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 21(2), November.
    2. Zhuang, Xin-tian & Huang, Xiao-yuan & Sha, Yan-li, 2004. "Research on the fractal structure in the Chinese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 333(C), pages 293-305.
    3. Pirino, Davide, 2009. "Jump detection and long range dependence," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(7), pages 1150-1156.
    4. Liu, Yang & Zhuo, Xuru & Zhou, Xiaozhu, 2024. "Multifractal analysis of Chinese literary and web novels," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 641(C).
    5. Janecskó, Balázs, 2000. "Idősor-modellezés és opcióárazás csonkolt Lévy-eloszlással [Time-series modelling and option pricing with a truncated Lévy distribution]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(11), pages 899-917.

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