Modeling Market Sentiment and Stock Price Dynamics: Evidence from Paytm Post-IPO Trading
Article Sidebar
Main Article Content
Abstract
This research paper investigates the correlation between public sentiment on social media and the stock price of Paytm from February 1 to February 16, 2024. By employing sentiment analysis, the study aims to explore how public opinion, expressed through platforms like Twitter, affects Paytm's stock price movements. We gathered a dataset of relevant tweets and used natural language processing (NLP) to categorize the sentiments expressed as positive, negative, or neutral. At the same time, we analyzed Paytm's stock price data from the same period to explore any meaningful connections between the sentiments and stock performance. The results could provide valuable insights for investors, stakeholders, and companies aiming to better understand how public sentiment influences market behavior.
Article Details
Section
This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
References
1. Divyansh, Koolwal. (2024). Integrating Twitter Sentiment with ML Models for Enhanced Stock Forecasting. International Journal for Research in Applied Science and Engineering Technology, 12(10):505- 518. doi: 10.22214/ijraset.2024.64561
2. S., Iniyan., J., ThangaKumar., P., Selvi, Rajendran. (2024). Twitter Scraping and Sentiment Analysis on Stock Price. 1-6. doi: 10.1109/adics58448.2024.10533556
3. Et, al., Shubham, Shah. (2023). Stock Prediction using GAN and Sentiment Analysis. International Journal on Recent and Innovation Trends in Computing and Communication, 11(9):2307-2316. doi: 10.17762/ijritcc.v11i9.9238
4. Wankhade, M., Rao, A. C. S., & Kulkarni, C. (2022). A survey on sentiment analysis methods, applications, and challenges.
5. Zhang, Y., & Wang, D. (2011). Twitter Sentiment Analysis: A Survey of Techniques.
6. Bollen, J., & Mao, H. (2011). Twitter mood as a stock market predictor. IEEE Computer, 44(10), 91–94.
7. Meera, Mehta., Shiv, Arora., Shikhar, Raj, Gupta., Arun, Jhulka. (2022). Social Listening Through Sentiment Analysis of Twitter Data: A Case Study of Paytm IPO. Socioeconomic challenges, 6(3):39-47. doi: 10.21272/sec.6(3).39-47.2022
8. Sánchez-Rada JF, Iglesias CA (2019) Social context in sentiment analysis: formal definition, overview of current trends and framework for comparison. Inf Fusion 52:344–356
9. Asur, S., Huberman, B.A.: Predicting the Future with Social Media. In: Proceedings of the ACM International Conference on Web Intelligence, pp. 492-499 (2010)
10. Jain PK, Pamula R, Srivastava G (2021) A systematic literature review on machine learning applications for consumer sentiment analysis using online reviews. Computer Sci Rev 41:100413
11. Farheen, Khanum., P, Sree, Lakshmi., Harsha, Vardhan, Reddy., K. (2024). Sentiment Analysis Using Natural Language Processing, Machine Learning and Deep Learning. 113-118. doi: 10.1109/i4c62240.2024.10748425
12. Snehal, Sarangi. (2024). Comprehensive Analysis of Hybrid Machine Learning Models using Optimization Techniques for Improving Twitter Sentiment. Panamerican Mathematical Journal, doi: 10.52783/pmj.v34.i3.1776
13. Himanshu, Pal., Bharat, Bhushan. (2024). Sentiment Analysis on Twitter Dataset using Voting Classifier. 1-6. doi: 10.1109/iceect61758.2024.10739316
14. https://www.hindustantimes.com/business/ paytm-stock-share-price-live-updates- february-1-2024-sensex-nifty-budget- 2024-101706757577104.html
15. Kokoy, Siti, Komariah., Carmadi, Machbub., Ary, Setijadi, Prihatmanto., Bong-Kee, Sin. (2016). A Study on Efficient Market Hypothesis to Predict Exchange Rate Trends Using Sentiment Analysis of Twitter Data. Journal of Korea Multimedia Society, 19(7):1107-1115. doi: 10.9717/KMMS.2016.19.7.1107