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dc.contributor.authorSmith, Stephenen_UK
dc.contributor.authorO’Hare, Anthonyen_UK
dc.description.abstractTwitter has been responsible for some major stock market news in the recent past, from rogue CEOs damaging their company to very active world leaders asking for brand boycotts, but despite its impact Twitter has still not been as impactful on markets as traditional news sources. In this paper we examine whether daily news sentiment of several companies and Twitter sentiment from their CEOs have an impact on their market performance and whether traditional news sources and Twitter activity of heads of government impact the benchmark indexes of major world economies over a period spanning the outbreak of the SAR-COV-2 pandemic. Our results indicate that there is very limited correlation between Twitter sentiment and price movements and that this does not change much when returns are taken relative to the market or when the market is calm or turbulent. There is almost no correlation under any circumstances between non-financial news sources and price movements, however there is some correlation between financial news sentiment and stock price movements. We also find this correlation gets stronger when returns are taken relative to the market. There are fewer companies correlated in both turbulent and calm economic times. There is no clear pattern to the direction and strength of the correlation, with some being strongly negatively correlated and others being strongly positively correlated, but in general the size of the correlation tends to indicate that price movement is driving sentiment, except in the turbulent economic times of the SARS-COV-2 pandemic in 2020.en_UK
dc.relationSmith S & O’Hare A (2022) Comparing traditional news and social media with stock price movements; which comes first, the news or the price change?. Journal of Big Data, 9, Art. No.: 47.
dc.rightsThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit
dc.subjectSentiment analysisen_UK
dc.subjectStock marketen_UK
dc.titleComparing traditional news and social media with stock price movements; which comes first, the news or the price change?en_UK
dc.typeJournal Articleen_UK
dc.citation.jtitleJournal Of Big Dataen_UK
dc.type.statusVoR - Version of Recorden_UK
dc.contributor.affiliationUniversity of Strathclydeen_UK
rioxxterms.typeJournal Article/Reviewen_UK
local.rioxx.authorSmith, Stephen|en_UK
local.rioxx.authorO’Hare, Anthony|0000-0003-2561-9582en_UK
local.rioxx.projectInternal Project|University of Stirling|
Appears in Collections:Computing Science and Mathematics Journal Articles

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