Barta, Ákos and Molnár, Márk (2023) Keyword research-based stock market oil price forecast validity test with neural network. GRADUS, 10 (1). ISSN 2064-8014
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Abstract
Stock market and global economic processes are often based on speculation, and in certain oligopoly markets, decisions are preceded by the prediction of the expected decisions of other players, i.e. we can also speak of speculative operation. In today's fast-paced world, the online press has a great influence on opinion formation through expert articles and analyses. In this article, we examine the extent to which Wall Street Journal articles influence or can influence investor inclination. In other words, the future price change can be predicted from the analysis of the articles, or more precisely, how effectively it can be predicted.
Item Type: | Article |
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Uncontrolled Keywords: | neural network, forecast, trend reversal, Wall Street Journal, keyword research |
Subjects: | H Social Sciences / társadalomtudományok > H Social Sciences (General) / társadalomtudomány általában |
SWORD Depositor: | MTMT SWORD |
Depositing User: | MTMT SWORD |
Date Deposited: | 18 Jul 2023 11:34 |
Last Modified: | 18 Jul 2023 11:34 |
URI: | http://real.mtak.hu/id/eprint/169963 |
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