Predicting Novatek Share Prices Using the Models of Decision Tree and Linear Regression

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Abstract

The development of technology and the emergence of various machine learning models influence social life in many ways, including the analysis and forecasting of the stock market. The ability to competently select and use machine learning models in predicting stock quotes is one of the key competitive advantages that allow large investment companies and individuals to increase their profits from the market activity. The study reveals the effectiveness of using decision tree and linear regression models in predicting daily quotes of NOVATEK.

About the authors

Roman Sergeevich Kuznecov

Saint-Petersburg State University of Economics

Email: socpol@mail.ru
St. Petersburg, Russian Federation

Tatiana Tumarova

Saint-Petersburg State University of Economics

Email: socpol@mail.ru
St. Petersburg, Russian Federation

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