A Sentiment Analysis of Twitter Content as a Predictor of Exchange Rate Movements

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dc.authoridOzturk, Serda Selin/0000-0003-2758-9321
dc.contributor.authorOzturk, Serda Selin
dc.contributor.authorCiftci, Kursad
dc.date.accessioned2024-07-18T20:52:03Z
dc.date.available2024-07-18T20:52:03Z
dc.date.issued2014
dc.departmentİstanbul Bilgi Üniversitesien_US
dc.description.abstractRecently, social media, particularly microblogs, have become highly valuable information resources for many investors. Previous studies examined general stock market movements, whereas in this paper, USD/ TRY currency movements based on the change in the number of positive, negative and neutral tweets are analyzed. We investigate the relationship between Twitter content categorized as sentiments, such as Buy, Sell and Neutral, with USD/ TRY currency movements. The results suggest that there exists a relationship between the number of tweets and the change in USD/ TRY exchange rate.en_US
dc.identifier.endpage140en_US
dc.identifier.issn1973-3909
dc.identifier.issue2en_US
dc.identifier.startpage132en_US
dc.identifier.urihttps://hdl.handle.net/11411/8484
dc.identifier.volume6en_US
dc.identifier.wosWOS:000219738900003en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherRimini Centre Economic Analysisen_US
dc.relation.ispartofReview of Economic Analysisen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectSentiment Analysisen_US
dc.subjectSocial Mediaen_US
dc.subjectForeign Exchange Marketsen_US
dc.subjectData Miningen_US
dc.titleA Sentiment Analysis of Twitter Content as a Predictor of Exchange Rate Movements
dc.typeArticle

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