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Predicting Novatek Share Prices Using the Models of Decision Tree and Linear Regression
 
PIIS020736760026686-3-1
DOI10.31857/S020736760026686-3
Publication type Article
Status Published
Authors
 
Affiliation: Saint-Petersburg State University of Economics
Address: St. Petersburg, Russian Federation
Tatiana Tumarova
Affiliation: Saint-Petersburg State University of Economics
Address: St. Petersburg, Russian Federation
Journal nameObshchestvo i ekonomika
Edition
Pages56-70
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.

Keywordsstock exchange, decision tree, linear regression, machine learning
Received27.10.2023
Publication date27.10.2023
Number of characters22736
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