Understanding the Impact of News Articles on the Movement of Market Index: A Case on Nifty 50
Not on the map. Why?
Abstract (arXiv)
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.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 6 of its 21 references that are in the map. First posted on arXiv 22 Nov 2024.
Builds on
6 of 21 references.
References · 6
- 2017Attention Is All You Needcited by 60,361
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
- 2019DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lightercited by 4,307
- 2020Stock Price Prediction Using Machine Learning and LSTM-Based Deep Learning Modelscited by 24
- 2021Accurate Stock Price Forecasting Using Robust and Optimized Deep Learning Modelscited by 15
- 2018Enhancing Stock Market Prediction with Extended Coupled Hidden Markov Model over Multi-Sourced Datacited by 2
Built on by
Not cited yet.