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RESEARCH CENTRE FOR INDUSTRIAL DEVELOPMENT PROBLEMS of NAS (KHARKIV, UKRAINE)

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BUSINESS INFORM №7-2013

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19

Section: Economic and Mathematical Modeling
UDC 330.101.52:336.76
Kravets T. V.
Modelling Profitabilities of Stock Indices Using Methods of Wavelet Analysis (p. 104 - 109)

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.
Keywords: economic crisis, profitabilities of stock indices, discrete wavelet transformation, neural networks, SSA-method
Fig.: 5. Formulae: 1. Bibl.: 11.

Kravets Tetyana V. – Candidate of Sciences (Physics and Mathematics), Associate Professor, Associate Professor, Department of Economic Cybernetics, Taras Shevchenko National University of Kyiv (60 Volodymyrska Str., Kyiv, 01033, Ukraine)
Email: [email protected]

Article is written in Ukrainian
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Reference to this article:
Kravets, Tetyana V. (2013) “Modelling Profitabilities of Stock Indices Using Methods of Wavelet Analysis.” Business Inform 7:104–109.


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