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