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Analysis of Data Clusters Obtained by Self-Organizing Methods

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  • V. V. Gafiychuk
  • B. Yo. Datsko
  • J. Izmaylova

Abstract

The self-organizing methods were used for the investigation of financial market. As an example we consider data time-series of Dow Jones index for the years 2002-2003 (R. Mantegna, cond-mat/9802256). In order to reveal new structures in stock market behavior of the companies drawing up Dow Jones index we apply SOM (Self-Organizing Maps) and GMDH (Group Method of Data Handling) algorithms. Using SOM techniques we obtain SOM-maps that establish a new relationship in market structure. Analysis of the obtained clusters was made by GMDH.

Suggested Citation

  • V. V. Gafiychuk & B. Yo. Datsko & J. Izmaylova, 2004. "Analysis of Data Clusters Obtained by Self-Organizing Methods," Papers nlin/0402012, arXiv.org, revised Apr 2004.
    • Handle: RePEc:arx:papers:nlin/0402012
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    Cited by:

    1. Juan Brida & Wiston Risso, 2010. "Dynamics and Structure of the 30 Largest North American Companies," Computational Economics, Springer;Society for Computational Economics, vol. 35(1), pages 85-99, January.
    2. Mario González & María del Mar Alonso-Almeida & David Dominguez, 2018. "Mapping global sustainability report scoring: a detailed analysis of Europe and Asia," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(3), pages 1041-1055, May.

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