COMPARATIVE ANALYSIS OF THE EFFECTIVENESS OF APPROACHES TO FORECASTING THE STOCK VALUE OF A COMPANY IN THE BANKING SECTOR

UDC 338.1
DOI: 10.36871/2618-9976.2023.12.001

Authors

David P. Marshalov,
Dmitry G. Rodionov,
Evgeny A. Konnikov,
Yuriy Yu. Kochinev,
Peter the Great St. Petersburg Polytechnic University, Saint-Petersburg, Russia
Elena E. Sharafanova,
St. Petersburg State University of Economics, St. Petersburg, Russia

Abstract

The banking sector is relatively volatile as its performance is influenced by both macroeconomic parameters, such as the key interest rate, and local industryspecific parameters. This specificity allows viewing companies in the banking sector as an indicator of the vector transformation of the economy, which in turn suggests the potential effectiveness of autoregression in forecasting the stock value of banking sector companies. This article presents the results of a comparative analysis of the effectiveness of approaches to forecasting the stock value of companies in the banking sector.

Keywords

Banking sector, Decision tree, Linear regression, Autoregression, Time serie