FORECASTING OF THE STOCK RATE OF LEADING WORLD COMPANIES USING ECONOMETRIC METHODS AND DCF ANALYSIS

In this article, we will cover various models for forecasting the stock price of global companies, namely the DCF model, with well-reasoned financial analysis and the ARIMA model, an integrated model of autoregression − moving average, as an econometric mechanism for point and interval forecasting....

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Bibliographic Details
Main Authors: Olena Nikolaieva, Anzhela Petrova, Rostyslav Lutsenko
Format: Article
Language:English
Published: RS Global Sp. z O.O. 2020-05-01
Series:International Journal of Innovative Technologies in Economy
Subjects:
Online Access:https://rsglobal.pl/index.php/ijite/article/view/1362