Impact of Social Media on the Stock Market: Evidence from Tweets

The paper deals with the impact of the economic agent sentiment on the return for Apple and Microsoft stocks. We employed text mining procedures to analyze Twitter messages with either negative or positive sentiment towards the chosen stock titles. Those sentiments were identified by developed algor...

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Main Authors: Vojtěch Fiala, Svatopluk Kapounek, Ondřej Veselý
Format: Article
Language:English
Published: Mendel University, Brno 2015-11-01
Series:European Journal of Business Science and Technology
Subjects:
Online Access:https://ejobsat.cz/artkey/ejo-201501-0003_impact-of-social-media-on-the-stock-market-evidence-from-tweets.php
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author Vojtěch Fiala
Svatopluk Kapounek
Ondřej Veselý
author_facet Vojtěch Fiala
Svatopluk Kapounek
Ondřej Veselý
author_sort Vojtěch Fiala
collection DOAJ
description The paper deals with the impact of the economic agent sentiment on the return for Apple and Microsoft stocks. We employed text mining procedures to analyze Twitter messages with either negative or positive sentiment towards the chosen stock titles. Those sentiments were identified by developed algorithms which are capable of identifying sentiment towards companies and also counting the numbers of tweets in the same group. This resulted in counts of tweets with positive and negative sentiment. Then we ran analysis in order to find causality between sentiment levels and the stock price of companies. To identify causal effects we applied Granger causality tests. We found bilateral causality between the risk premium and the amount of news distributed by Twitter messages.
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spelling doaj.art-23a5fc69678343f48a1c900422b8b1212022-12-22T00:26:22ZengMendel University, BrnoEuropean Journal of Business Science and Technology2336-64942694-71612015-11-0111243510.11118/ejobsat.v1i1.35ejo-201501-0003Impact of Social Media on the Stock Market: Evidence from TweetsVojtěch Fiala0Svatopluk KapounekOndřej VeselýMendel University in Brno, Czech RepublicThe paper deals with the impact of the economic agent sentiment on the return for Apple and Microsoft stocks. We employed text mining procedures to analyze Twitter messages with either negative or positive sentiment towards the chosen stock titles. Those sentiments were identified by developed algorithms which are capable of identifying sentiment towards companies and also counting the numbers of tweets in the same group. This resulted in counts of tweets with positive and negative sentiment. Then we ran analysis in order to find causality between sentiment levels and the stock price of companies. To identify causal effects we applied Granger causality tests. We found bilateral causality between the risk premium and the amount of news distributed by Twitter messages.https://ejobsat.cz/artkey/ejo-201501-0003_impact-of-social-media-on-the-stock-market-evidence-from-tweets.phpstock returnsgranger causalitytext miningsentiment analysiscapm
spellingShingle Vojtěch Fiala
Svatopluk Kapounek
Ondřej Veselý
Impact of Social Media on the Stock Market: Evidence from Tweets
European Journal of Business Science and Technology
stock returns
granger causality
text mining
sentiment analysis
capm
title Impact of Social Media on the Stock Market: Evidence from Tweets
title_full Impact of Social Media on the Stock Market: Evidence from Tweets
title_fullStr Impact of Social Media on the Stock Market: Evidence from Tweets
title_full_unstemmed Impact of Social Media on the Stock Market: Evidence from Tweets
title_short Impact of Social Media on the Stock Market: Evidence from Tweets
title_sort impact of social media on the stock market evidence from tweets
topic stock returns
granger causality
text mining
sentiment analysis
capm
url https://ejobsat.cz/artkey/ejo-201501-0003_impact-of-social-media-on-the-stock-market-evidence-from-tweets.php
work_keys_str_mv AT vojtechfiala impactofsocialmediaonthestockmarketevidencefromtweets
AT svatoplukkapounek impactofsocialmediaonthestockmarketevidencefromtweets
AT ondrejvesely impactofsocialmediaonthestockmarketevidencefromtweets