On the Use of Arabic Tweets to Predict Stock Market Changes in the Arab World

被引:0
|
作者
AlKhatib, Khalid [1 ]
Rabab'ah, Abdullateef [1 ]
Al-Ayyoub, Mahmoud [1 ]
Jararweh, Yaser [1 ]
机构
[1] Jordan Univ Sci & Technol, Irbid, Jordan
关键词
Twitter; Sentiment Analysis; Granger Causality; Pearson Correlation; Arab Stock Market;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Social media users nowadays express their opinions and feelings about many event occurring in their lives. For certain users, some of the most important events are the ones related to the financial markets. An interesting research field emerged over the past decade to study the possible relationship between the fluctuation in the financial markets and the online social media. In this research we present a comprehensive study to identify the relation between Arabic financial-related tweets and the change in stock markets using a set of the most active Arab stock indices. The results show that there is a Granger Causality relation between the volume and sentiment of Arabic tweets and the change in some of the stock markets.
引用
收藏
页码:560 / 566
页数:7
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