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Modelling Profitabilities of Stock Indices Using Methods of Wavelet Analysis

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  • Kravets Tatiana V.

    ()
    (Kyiv National University named after T. Shevchenko)

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    Abstract

    The article considers specific features of European stock indices and conducts their comparative analysis. The goal of the study lies in localisation and description of crisis effects by time and scale in the dynamics of indices with the help of the wavelet transformation. This approach allows revelation of clusters of stock indices and study of their common and individual specific features. Combination of the wavelet-transformation, neural networks and SSA methods is used for forecasting dynamics of indices.

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    File URL: http://www.business-inform.net/pdf/2013/7_0/104_109.pdf
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    Bibliographic Info

    Article provided by RESEARCH CENTRE FOR INDUSTRIAL DEVELOPMENT PROBLEMS of NAS (KHARKIV, UKRAINE), Kharkiv National University of Economics in its journal Business Inform.

    Volume (Year): (2013)
    Issue (Month): 7 ()
    Pages: 104_109

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    Handle: RePEc:idp:bizinf:y:2013:i:7:p:104_109

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    Web page: http://www.business-inform.net

    Related research

    Keywords: economic crisis; profitabilities of stock indices; discrete wavelet transformation; neural networks; SSA-method;

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