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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      30 March 2022, Volume 37 Issue 2   
    Article

    RELATIONSHIP BETWEEN TWITTER SENTIMENTS AND STOCK MARKET RETURNS: AN EMPIRICAL ANALYSIS OF NIFTY FIFTY COMPANIES
    Dr. Divya Verma, Mr. Mohit Kumar, Dr. Narender, Deepti Sehrawat Verma
    Journal of Data Acquisition and Processing, 2022, 37 (2): 544-563 . 

    Abstract

    Twitter has emerged as a popular social media channel. The present paper analyses the relationship between Twitter sentiments and CNX Nifty Index stock returns. Twitter sentiments were captured with R software's help for a period of 22 days for Indian benchmark Index Nifty which includes fifty blue-chip companies. The sentiments were classified as positive sentiments score, negative sentiments score and total tweets score. Also Overall Twitter Sentiment Score was computed which includes positive sentiments minus negative sentiments indicating the overall direction of investor sentiments. The relationship between stock returns and positive tweets, negative tweets and total tweets was analysed using correlation and the Granger causality test. The results show that there is a high degree of correlation between returns and tweets about companies with 28 per cent companies. Granger causality test shows that Indian benchmark index Nifty returns causes Twitter sentiments. Granger causality test shows that positive sentiments (55.5 per cent) and negative sentiments (44.4 per cent) about a company on Twitter causes stock returns. 61.5 per cent companies show that total Tweets score causes stock returns. The results also show that for 30.8 per cent companies overall Twitter sentiment score causes returns in the stock market. These results are useful for investors and companies to understand the role of investor sentiments reflected on Twitter which can impact market movement and can be used by companies and investors to maximize their returns in the market.

    Keyword

    Profound learning, clinical imaging, clinical regular language handling, counterfeit brain organizations


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