MEDIA SENTIMENT AND STOCK PRICES: ANALYSING TEMPORAL DYNAMICS AND PREDICTIVE RELATIONSHIPS IN TESLA AND META

The study investigates the relationship between media sentiment and stock price fluctuations. Using quantitative techniques, the research examines data from Tesla and Meta from 2019 to 2024. Headlines and adjusted stock prices were processed into monthly averages to reduce noise, enabling statistic...

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Main Authors: Laura Čigileičikaitė, Gabrielė Gailiūtė, Jekaterina Kartašova
Format: Article
Language:English
Published: Editura Universitatii Agora 2024-12-01
Series:Agora International Journal of Economical Sciences
Online Access:https://univagora.ro/jour/index.php/aijes/article/view/6942
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author Laura Čigileičikaitė
Gabrielė Gailiūtė
Jekaterina Kartašova
author_facet Laura Čigileičikaitė
Gabrielė Gailiūtė
Jekaterina Kartašova
author_sort Laura Čigileičikaitė
collection DOAJ
description The study investigates the relationship between media sentiment and stock price fluctuations. Using quantitative techniques, the research examines data from Tesla and Meta from 2019 to 2024. Headlines and adjusted stock prices were processed into monthly averages to reduce noise, enabling statistical analysis through cross-correlation and Granger causality tests. The results indicate a link between sentiment and stock prices, suggesting that sentiment may have some predictive capability for stock price movements. The research underscores the importance of addressing media sentiment in financial decision-making.
format Article
id doaj-art-3dd9bf82c32e4b4c9db0d0025b3a2b99
institution Kabale University
issn 2067-3310
2067-7669
language English
publishDate 2024-12-01
publisher Editura Universitatii Agora
record_format Article
series Agora International Journal of Economical Sciences
spelling doaj-art-3dd9bf82c32e4b4c9db0d0025b3a2b992024-12-29T13:39:11ZengEditura Universitatii AgoraAgora International Journal of Economical Sciences2067-33102067-76692024-12-0118210.15837/aijes.v18i2.6942MEDIA SENTIMENT AND STOCK PRICES: ANALYSING TEMPORAL DYNAMICS AND PREDICTIVE RELATIONSHIPS IN TESLA AND METALaura ČigileičikaitėGabrielė GailiūtėJekaterina Kartašova The study investigates the relationship between media sentiment and stock price fluctuations. Using quantitative techniques, the research examines data from Tesla and Meta from 2019 to 2024. Headlines and adjusted stock prices were processed into monthly averages to reduce noise, enabling statistical analysis through cross-correlation and Granger causality tests. The results indicate a link between sentiment and stock prices, suggesting that sentiment may have some predictive capability for stock price movements. The research underscores the importance of addressing media sentiment in financial decision-making. https://univagora.ro/jour/index.php/aijes/article/view/6942
spellingShingle Laura Čigileičikaitė
Gabrielė Gailiūtė
Jekaterina Kartašova
MEDIA SENTIMENT AND STOCK PRICES: ANALYSING TEMPORAL DYNAMICS AND PREDICTIVE RELATIONSHIPS IN TESLA AND META
Agora International Journal of Economical Sciences
title MEDIA SENTIMENT AND STOCK PRICES: ANALYSING TEMPORAL DYNAMICS AND PREDICTIVE RELATIONSHIPS IN TESLA AND META
title_full MEDIA SENTIMENT AND STOCK PRICES: ANALYSING TEMPORAL DYNAMICS AND PREDICTIVE RELATIONSHIPS IN TESLA AND META
title_fullStr MEDIA SENTIMENT AND STOCK PRICES: ANALYSING TEMPORAL DYNAMICS AND PREDICTIVE RELATIONSHIPS IN TESLA AND META
title_full_unstemmed MEDIA SENTIMENT AND STOCK PRICES: ANALYSING TEMPORAL DYNAMICS AND PREDICTIVE RELATIONSHIPS IN TESLA AND META
title_short MEDIA SENTIMENT AND STOCK PRICES: ANALYSING TEMPORAL DYNAMICS AND PREDICTIVE RELATIONSHIPS IN TESLA AND META
title_sort media sentiment and stock prices analysing temporal dynamics and predictive relationships in tesla and meta
url https://univagora.ro/jour/index.php/aijes/article/view/6942
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AT gabrielegailiute mediasentimentandstockpricesanalysingtemporaldynamicsandpredictiverelationshipsinteslaandmeta
AT jekaterinakartasova mediasentimentandstockpricesanalysingtemporaldynamicsandpredictiverelationshipsinteslaandmeta