BUSINESS INFORM №12-2016

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35

Section: Finance, Money Circulation and Credit
UDC 661.65
Chornous G. O., Iarmolenko I. A.
Forecasting Stock Prices Based on the Data from Social Networking (p. 222 - 228)
The article explores the possibility of implementing models of computer-assisted learning for the forecasting stock prices of foreign companies on the basis of data from social networking. Because the traditional forecasting methods are ineffective in the short term, the article is aimed at proving the available connection between the text-based content of social networking concerning activities of companies and dynamics of their respective financial tools at the exchange. Using the tools for processing human speech, the emotional component of messages on Twitter about Google company’s activities for one week has been explored. It has been displayed how emotions can be transferred to the quantitative characteristics and how further this value can be used to build a mathematical model of fluctuations of the shares. This model has been implemented using the method of neural networks. The authors of the article have concluded that for the present moment the question about use of the proposed methodology to forecast stock prices of Ukrainian companies remains irrelevant, but similar text data analysis would be appropriate to carry out sociological, political and other economic studies.
Keywords: forecasting stock prices, data from social networking, analysis of textual data, analysis of sentiments, news on social networking
Fig.: 2. Tabl.: 1. Bibl.: 24.

Chornous Galyna O. – Doctor of Sciences (Economics), Associate Professor, Associate Professor, Department of Economic Cybernetics, Taras Shevchenko National University of Kyiv (60 Volodymyrska Str., Kyiv, 01033, Ukraine)
Email: [email protected]
Iarmolenko Iuliia A. – Postgraduate Student, 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:
Chornous, Galyna O., and Iarmolenko, Iuliia A. (2016) “Forecasting Stock Prices Based on the Data from Social Networking.” Business Inform 12:222–228.

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