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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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

Author 1: Khalid AlKhatib
Author 2: Abdullateef Rabab’ah
Author 3: Mahmoud Al-Ayyoub
Author 4: Yaser Jararweh

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2016.070574

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 7 Issue 5, 2016.

  • Abstract and Keywords
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Abstract: 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.

Keywords: Twitter; Sentiment Analysis; Granger Causality; Pearson Correlation; Arab Stock Market

Khalid AlKhatib, Abdullateef Rabab’ah, Mahmoud Al-Ayyoub and Yaser Jararweh, “On the Use of Arabic Tweets to Predict Stock Market Changes in the Arab World” International Journal of Advanced Computer Science and Applications(IJACSA), 7(5), 2016. http://dx.doi.org/10.14569/IJACSA.2016.070574

@article{AlKhatib2016,
title = {On the Use of Arabic Tweets to Predict Stock Market Changes in the Arab World},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.070574},
url = {http://dx.doi.org/10.14569/IJACSA.2016.070574},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {5},
author = {Khalid AlKhatib and Abdullateef Rabab’ah and Mahmoud Al-Ayyoub and Yaser Jararweh}
}


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