Global Cues and People's Reactions: A Twitter Sentiment Analysis
In the current scenario, every investor has to be alert to local information as well as glocal (global and local) news and cues. Social media and microblogging are some online platforms where the information is shared and gathered quickly involving less cost. Twitter is one such platform, where brie...
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Veröffentlicht in: | The ICFAI journal of financial risk management 2021-09, Vol.18 (3), p.7-20 |
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description | In the current scenario, every investor has to be alert to local information as well as glocal (global and local) news and cues. Social media and microblogging are some online platforms where the information is shared and gathered quickly involving less cost. Twitter is one such platform, where brief updates are available to the public or a selected circle of contacts. It conveys the author's mood and emotional status. Hence, the content can be regarded as a valid indicator for a temporary, authentic and instantaneous public mood state. The posting of news on social media also triggers stock market movements due to the knee-jerk reactions caused by investor sentiments. This study tries to find the relationship between the sentiments and global cues with respect to the Indian stock market. The large-scale data analysis gives a strong base to witness and predict values by taking into consideration the emotive moods and trends associated with social and economic indicators. The study reveals a significant relationship between public mood as a reaction to global cues and the stock market movement, with special reference to Nifty index. In particular, the Brexit Referendum, FOMC (Federal Open Market Committee) decisions and Bank of Japan monetary policy review are likely to have triggered volatility in the said market. |
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The study reveals a significant relationship between public mood as a reaction to global cues and the stock market movement, with special reference to Nifty index. 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subjects | Economic development Economic indicators Emotions Interest rates Investments Macroeconomics Monetary policy Securities markets Sentiment analysis Social networks Stock exchanges Volatility |
title | Global Cues and People's Reactions: A Twitter Sentiment Analysis |
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