Open AccessA Sentiment Analysis of Twitter Content as a Predictor of Exchange Rate Movements
Author(s) -
Serda Selin Öztürk,
Kursad Ciftci
Publication year - 2015
Publication title -
review of economic analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.101
H-Index - 1
ISSN - 1973-3909
DOI - 10.15353/rea.v6i2.1416
Subject(s) - social media , currency , exchange rate , sentiment analysis , microblogging , content (measure theory) , advertising , content analysis , business , economics , monetary economics , psychology , computer science , sociology , mathematics , artificial intelligence , world wide web , social science , mathematical analysis
Recently, social media, particularly microblogs, have become highly valuableinformation resources for many investors. Previous studies examined general stockmarket movements, whereas in this paper, USD/TRY currency movements based on thechange in the number of positive, negative and neutral tweets are analyzed. Weinvestigate the relationship between Twitter content categorized as sentiments, such asBuy, Sell and Neutral, with USD/TRY currency movements. The results suggest thatthere exists a relationship between the number of tweets and the change in USD/TRYexchange rate.