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Machine learning sentiment analysis, COVID-19 news and stock market reactions

Citations

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Cited by:

  1. Yousaf, Imran & Bejaoui, Azza & Ali, Shoaib & Li, Yanshuang, 2024. "Demystifying the dynamic relationship between news sentiment index and ESG stocks: Evidence from time-frequency wavelet analysis," International Review of Financial Analysis, Elsevier, vol. 96(PB).
  2. Cai, Yi & Tang, Zhenpeng & Chen, Ying, 2024. "Can real-time investor sentiment help predict the high-frequency stock returns? Evidence from a mixed-frequency-rolling decomposition forecasting method," The North American Journal of Economics and Finance, Elsevier, vol. 72(C).
  3. Gao, Ziqing & Hua, Min & Liu, Heng & Yan, Chao, 2023. "News sentiment and CEO retirement: The impact on firm performance and risk," Research in International Business and Finance, Elsevier, vol. 66(C).
  4. Ali Asgarov, 2023. "Predicting Financial Market Trends using Time Series Analysis and Natural Language Processing," Papers 2309.00136, arXiv.org.
  5. Ghosh, Indranil & Alfaro-Cortés, Esteban & Gámez, Matías & García-Rubio, Noelia, 2024. "Reflections of public perception of Russia-Ukraine conflict and Metaverse on the financial outlook of Metaverse coins: Fresh evidence from Reddit sentiment analysis," International Review of Financial Analysis, Elsevier, vol. 93(C).
  6. Wasim ul Rehman & Omur Saltik & Faryal Jalil & Suleyman Degirmen, 2024. "Viral decisions: unmasking the impact of COVID-19 info and behavioral quirks on investment choices," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-20, December.
  7. Sui, Cong & Wang, Shuhan & Zheng, Wei, 2024. "Sentiment as a shipping market predictor: Testing market-specific language models," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 189(C).
  8. Abdollahi, Hooman & Junttila, Juha-Pekka & Lehkonen, Heikki, 2024. "Clustering asset markets based on volatility connectedness to political news," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 93(C).
  9. Vecchi, Edoardo & Berra, Gabriele & Albrecht, Steffen & Gagliardini, Patrick & Horenko, Illia, 2023. "Entropic approximate learning for financial decision-making in the small data regime," Research in International Business and Finance, Elsevier, vol. 65(C).
  10. Gangopadhyay, Partha & Das, Narasingha & Kumar, Satish & Tanin, Tauhidul Islam, 2024. "Information warfare: Analyzing COVID-19 news and its economic fallout in the US," Research in International Business and Finance, Elsevier, vol. 70(PB).
  11. Ahelegbey, Daniel Felix & Celani, Alessandro & Cerchiello, Paola, 2024. "Measuring the impact of the EU health emergency response authority on the economic sectors and the public sentiment," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).
  12. Mahesh Kumar Morampudi & Chinmaya Kumar Swain & M. Vijaya Prabhagar & Sundar Rengasamy, 2026. "Analyzing the impact of the sentiment of Covid-19 news on bitcoin through transformer-based models," Quality & Quantity: International Journal of Methodology, Springer, vol. 60(2), pages 6429-6447, April.
  13. Abdollahi, Hooman & Fjesme, Sturla L. & Sirnes, Espen, 2024. "Measuring market volatility connectedness to media sentiment," The North American Journal of Economics and Finance, Elsevier, vol. 71(C).
  14. Nguyen, Huan Huu & Ngo, Vu Minh & Pham, Luan Minh & Van Nguyen, Phuc, 2025. "Investor sentiment and market returns: A multi-horizon analysis," Research in International Business and Finance, Elsevier, vol. 74(C).
  15. Thavavel Vaiyapuri & Sharath Kumar Jagannathan & Mohammed Altaf Ahmed & K. C. Ramya & Gyanendra Prasad Joshi & Soojeong Lee & Gangseong Lee, 2023. "Sustainable Artificial Intelligence-Based Twitter Sentiment Analysis on COVID-19 Pandemic," Sustainability, MDPI, vol. 15(8), pages 1-15, April.
  16. Süreyya Özöğür Akyüz & Pınar Karadayı Ataş & Aymane Benkhaldoun, 2024. "Predicting stock market by sentiment analysis and deep learning," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 34(2), pages 85-107.
  17. Marcus Vinicius Santos & Fernando Morgado-Dias & Thiago C. Silva, 2023. "Oil Sector and Sentiment Analysis—A Review," Energies, MDPI, vol. 16(12), pages 1-29, June.
  18. Szczygielski, Jan Jakub & Charteris, Ailie & Bwanya, Princess Rutendo & Brzeszczyński, Janusz, 2023. "Which COVID-19 information really impacts stock markets?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 84(C).
  19. Li, Yanshuang & Shi, Yujie & Shi, Yongdong & Xiong, Xiong & Yi, Shangkun, 2024. "Time-frequency extreme risk spillovers between COVID-19 news-based panic sentiment and stock market volatility in the multi-layer network: Evidence from the RCEP countries," International Review of Financial Analysis, Elsevier, vol. 94(C).
  20. Mariem Talbi & Monia Mokhtar Ferchichi & Fatma Ismaalia & Samia Samil, 2024. "Unveiling COVID-19’s impact on Financial Stability: A Comprehensive Study of Price Dynamics and Investor Behavior in G7 Markets," International Journal of Economics and Financial Issues, Econjournals, vol. 14(1), pages 216-232, January.
  21. Hong, Yun & Jiang, Yanhui & Su, Xiaojian & Deng, Chao, 2024. "Extreme state media reporting and the extreme stock market during COVID-19: A multi-quantile VaR Granger causality approach in China," Research in International Business and Finance, Elsevier, vol. 67(PA).
  22. Ullah, Rafid & Ismail, Hishamuddin Bin & Islam Khan, Mohammad Tariqul & Zeb, Ali, 2024. "Nexus between Chat GPT usage dimensions and investment decisions making in Pakistan: Moderating role of financial literacy," Technology in Society, Elsevier, vol. 76(C).
  23. Ahelegbey, Daniel Felix & Cerchiello, Paola & Scaramozzino, Roberta, 2022. "Network based evidence of the financial impact of Covid-19 pandemic," International Review of Financial Analysis, Elsevier, vol. 81(C).
  24. Riahi, Rabeb & Bennajma, Amel & Jahmane, Abderrahmane & Hammami, Helmi, 2024. "Investing in cryptocurrency before and during the COVID-19 crisis: Hedge, diversifier or safe haven?," Research in International Business and Finance, Elsevier, vol. 67(PB).
  25. Gong, Yuting & Peng, Yongyuan & Xu, Luxuan & Chen, Kecai & Shi, Wenming, 2025. "Shipping news sentiment as a predictor of iron ore freight rates: Hybrid evidence from lexicon-based analysis and threshold autoregression modelling," Transport Policy, Elsevier, vol. 169(C), pages 178-190.
  26. Wang, Lu & Guan, Li & Ding, Qian & Zhang, Hongwei, 2023. "Asymmetric impact of COVID-19 news on the connectedness of the green energy, dirty energy, and non-ferrous metal markets," Energy Economics, Elsevier, vol. 126(C).
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