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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:The ICFAI journal of financial risk management 2021-09, Vol.18 (3), p.7-20
Hauptverfasser: Vijaya, V, Thodla, Ravi, Kundu, Seeboli Ghosh
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 20
container_issue 3
container_start_page 7
container_title The ICFAI journal of financial risk management
container_volume 18
creator Vijaya, V
Thodla, Ravi
Kundu, Seeboli Ghosh
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.
format Article
fullrecord <record><control><sourceid>proquest</sourceid><recordid>TN_cdi_proquest_journals_2648610237</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2648610237</sourcerecordid><originalsourceid>FETCH-proquest_journals_26486102373</originalsourceid><addsrcrecordid>eNpjYeA0sDQ30rU0NIvgYOAtLs4yAAJzE0sTE0tOBgf3nPykxBwF59LUYoXEvBSFgNT8gpxU9WKFoNTE5JLM_LxiKwVHhZDyzJKS1CKF4NS8ksxcIKHgmJeYU1mcWczDwJqWmFOcyguluRmU3VxDnD10C4ryC4GGlsRn5ZcWARUXxxuZmViYGRoYGZsbE6cKAOkWOHE</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2648610237</pqid></control><display><type>article</type><title>Global Cues and People's Reactions: A Twitter Sentiment Analysis</title><source>Business Source Complete</source><creator>Vijaya, V ; Thodla, Ravi ; Kundu, Seeboli Ghosh</creator><creatorcontrib>Vijaya, V ; Thodla, Ravi ; Kundu, Seeboli Ghosh</creatorcontrib><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.</description><identifier>ISSN: 0972-916X</identifier><language>eng</language><publisher>Hyderabad: IUP Publications</publisher><subject>Economic development ; Economic indicators ; Emotions ; Interest rates ; Investments ; Macroeconomics ; Monetary policy ; Securities markets ; Sentiment analysis ; Social networks ; Stock exchanges ; Volatility</subject><ispartof>The ICFAI journal of financial risk management, 2021-09, Vol.18 (3), p.7-20</ispartof><rights>Copyright IUP Publications Sep 2021</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784</link.rule.ids></links><search><creatorcontrib>Vijaya, V</creatorcontrib><creatorcontrib>Thodla, Ravi</creatorcontrib><creatorcontrib>Kundu, Seeboli Ghosh</creatorcontrib><title>Global Cues and People's Reactions: A Twitter Sentiment Analysis</title><title>The ICFAI journal of financial risk management</title><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.</description><subject>Economic development</subject><subject>Economic indicators</subject><subject>Emotions</subject><subject>Interest rates</subject><subject>Investments</subject><subject>Macroeconomics</subject><subject>Monetary policy</subject><subject>Securities markets</subject><subject>Sentiment analysis</subject><subject>Social networks</subject><subject>Stock exchanges</subject><subject>Volatility</subject><issn>0972-916X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpjYeA0sDQ30rU0NIvgYOAtLs4yAAJzE0sTE0tOBgf3nPykxBwF59LUYoXEvBSFgNT8gpxU9WKFoNTE5JLM_LxiKwVHhZDyzJKS1CKF4NS8ksxcIKHgmJeYU1mcWczDwJqWmFOcyguluRmU3VxDnD10C4ryC4GGlsRn5ZcWARUXxxuZmViYGRoYGZsbE6cKAOkWOHE</recordid><startdate>20210901</startdate><enddate>20210901</enddate><creator>Vijaya, V</creator><creator>Thodla, Ravi</creator><creator>Kundu, Seeboli Ghosh</creator><general>IUP Publications</general><scope>04Q</scope><scope>04S</scope><scope>0U~</scope><scope>1-H</scope><scope>3V.</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>885</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ANIOZ</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRAZJ</scope><scope>FRNLG</scope><scope>F~G</scope><scope>K60</scope><scope>K6~</scope><scope>K8~</scope><scope>L.-</scope><scope>L.0</scope><scope>M0C</scope><scope>M1F</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYYUZ</scope><scope>Q9U</scope></search><sort><creationdate>20210901</creationdate><title>Global Cues and People's Reactions: A Twitter Sentiment Analysis</title><author>Vijaya, V ; Thodla, Ravi ; Kundu, Seeboli Ghosh</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-proquest_journals_26486102373</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Economic development</topic><topic>Economic indicators</topic><topic>Emotions</topic><topic>Interest rates</topic><topic>Investments</topic><topic>Macroeconomics</topic><topic>Monetary policy</topic><topic>Securities markets</topic><topic>Sentiment analysis</topic><topic>Social networks</topic><topic>Stock exchanges</topic><topic>Volatility</topic><toplevel>online_resources</toplevel><creatorcontrib>Vijaya, V</creatorcontrib><creatorcontrib>Thodla, Ravi</creatorcontrib><creatorcontrib>Kundu, Seeboli Ghosh</creatorcontrib><collection>India Database</collection><collection>India Database: Business</collection><collection>Global News &amp; ABI/Inform Professional</collection><collection>Trade PRO</collection><collection>ProQuest Central (Corporate)</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Banking Information Database (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Accounting, Tax &amp; Banking Collection</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Accounting, Tax &amp; Banking Collection (Alumni)</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>DELNET Management Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Professional Standard</collection><collection>ABI/INFORM Global</collection><collection>Banking Information Database</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ABI/INFORM Collection China</collection><collection>ProQuest Central Basic</collection><jtitle>The ICFAI journal of financial risk management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Vijaya, V</au><au>Thodla, Ravi</au><au>Kundu, Seeboli Ghosh</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Global Cues and People's Reactions: A Twitter Sentiment Analysis</atitle><jtitle>The ICFAI journal of financial risk management</jtitle><date>2021-09-01</date><risdate>2021</risdate><volume>18</volume><issue>3</issue><spage>7</spage><epage>20</epage><pages>7-20</pages><issn>0972-916X</issn><abstract>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.</abstract><cop>Hyderabad</cop><pub>IUP Publications</pub></addata></record>
fulltext fulltext
identifier ISSN: 0972-916X
ispartof The ICFAI journal of financial risk management, 2021-09, Vol.18 (3), p.7-20
issn 0972-916X
language eng
recordid cdi_proquest_journals_2648610237
source Business Source Complete
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
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T16%3A14%3A48IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Global%20Cues%20and%20People's%20Reactions:%20A%20Twitter%20Sentiment%20Analysis&rft.jtitle=The%20ICFAI%20journal%20of%20financial%20risk%20management&rft.au=Vijaya,%20V&rft.date=2021-09-01&rft.volume=18&rft.issue=3&rft.spage=7&rft.epage=20&rft.pages=7-20&rft.issn=0972-916X&rft_id=info:doi/&rft_dat=%3Cproquest%3E2648610237%3C/proquest%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2648610237&rft_id=info:pmid/&rfr_iscdi=true