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Understanding the Impact of News Articles on the Movement of Market Index: A Case on Nifty 50

Author

Listed:
  • Subhasis Dasgupta
  • Pratik Satpati
  • Ishika Choudhary
  • Jaydip Sen

Abstract

In the recent past, there were several works on the prediction of stock price using different methods. Sentiment analysis of news and tweets and relating them to the movement of stock prices have already been explored. But, when we talk about the news, there can be several topics such as politics, markets, sports etc. It was observed that most of the prior analyses dealt with news or comments associated with particular stock prices only or the researchers dealt with overall sentiment scores only. However, it is quite possible that different topics having different levels of impact on the movement of the stock price or an index. The current study focused on bridging this gap by analysing the movement of Nifty 50 index with respect to the sentiments associated with news items related to various different topic such as sports, politics, markets etc. The study established that sentiment scores of news items of different other topics also have a significant impact on the movement of the index.

Suggested Citation

  • Subhasis Dasgupta & Pratik Satpati & Ishika Choudhary & Jaydip Sen, 2024. "Understanding the Impact of News Articles on the Movement of Market Index: A Case on Nifty 50," Papers 2412.06794, arXiv.org.
    • Handle: RePEc:arx:papers:2412.06794
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    References listed on IDEAS

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    1. Maqsood, Haider & Mehmood, Irfan & Maqsood, Muazzam & Yasir, Muhammad & Afzal, Sitara & Aadil, Farhan & Selim, Mahmoud Mohamed & Muhammad, Khan, 2020. "A local and global event sentiment based efficient stock exchange forecasting using deep learning," International Journal of Information Management, Elsevier, vol. 50(C), pages 432-451.
    2. Lin Liu & Qiguang Chen, 2020. "How to compare market efficiency? The Sharpe ratio based on the ARMA-GARCH forecast," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-21, December.
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