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PRACTICAL APPLICATION OF ALGORITHM OF FORECASTING OF NUMERICAL VALUES IN TIME

Published in International Journal of Applied Sciences and Technology Integral · Pages 11–11 · Rubric: Ekonometrika, Ekonomicheskie nauki
Received: 06.06.2017 Accepted: 15.06.2017 Published: 25.06.2017 Language of publication: ENG
This article analyzes the Russian stock market. The historical aspect of the appearance of the first shares is considered. The significance of the ordinary shares of PJSC Gazprom on the Russian stock market is described. An algorithm for predicting numerical values in time is presented. An economic-mathematical model for predicting the rate of specific stocks has been constructed. Recommendations on activation of sales are given.
econometrics, stocks and bonds market, prediction, correlation, sales activation