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

IF 0.7 Q3 ECONOMICS Review of Economic Analysis Pub Date : 2015-04-11 DOI:10.15353/rea.v6i2.1416
S. Ozturk, Kursad Ciftci
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引用次数: 22

Abstract

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.
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推特内容的情绪分析作为汇率变动的预测因子
最近,社交媒体,特别是微博,已经成为许多投资者非常有价值的信息资源。之前的研究考察了股市的一般走势,而本文分析了基于积极、消极和中性推文数量变化的美元/土耳其里拉货币走势。我们调查了Twitter内容分类为情绪(如买入、卖出和中性)与美元/土耳其里拉货币走势之间的关系。结果表明,推文数量与美元兑日元汇率变化之间存在一定的关系。
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来源期刊
CiteScore
1.10
自引率
0.00%
发文量
10
审稿时长
26 weeks
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