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Daily Market News Sentiment and Stock Prices

Citations

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Cited by:

  1. Tang, Zhenpeng & Lin, Qiaofeng & Cai, Yi & Chen, Kaijie & Liu, Dinggao, 2024. "Harnessing the power of real-time forum opinion: Unveiling its impact on stock market dynamics using intraday high-frequency data in China," International Review of Financial Analysis, Elsevier, vol. 93(C).
  2. Jiang, Jiaqi & Zhang, Zhipeng & Cheng, Gongpin, 2024. "Corporate violations, traditional media and stock returns: Evidence from Chinese listed companies," Finance Research Letters, Elsevier, vol. 69(PA).
  3. Tian Guo & Emmanuel Hauptmann, 2024. "Fine-Tuning Large Language Models for Stock Return Prediction Using Newsflow," Papers 2407.18103, arXiv.org, revised Aug 2024.
  4. Na, Haejung & Kim, Soonho, 2021. "Predicting stock prices based on informed traders’ activities using deep neural networks," Economics Letters, Elsevier, vol. 204(C).
  5. David E Allen & Michael McAleer & Abhay K Singh, 2017. "An entropy-based analysis of the relationship between the DOW JONES Index and the TRNA Sentiment series," Applied Economics, Taylor & Francis Journals, vol. 49(7), pages 677-692, February.
  6. Mohamed Arbi Madani, 2025. "The S&P 500 sectoral indices responses to economic news sentiment," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 30(2), pages 2042-2060, April.
  7. David E. Allen & Michael McAleer, 2019. "Fake News and Propaganda: Trump’s Democratic America and Hitler’s National Socialist (Nazi) Germany," Sustainability, MDPI, vol. 11(19), pages 1-19, September.
  8. Krystian M. Zawadzki & Marcin Potrykus, 2023. "Stock Markets’ Reactions to the Announcement of the Hosts. An Event Study in the Analysis of Large Sporting Events in the Years 1976–2032," Journal of Sports Economics, , vol. 24(6), pages 759-800, August.
  9. Fabian Billert & Stefan Conrad, 2024. "A Framework for the Construction of a Sentiment-Driven Performance Index: The Case of DAX40," Papers 2409.20397, arXiv.org.
  10. Xiaohong Shen & Gaoshan Wang & Yue Wang & Alfred Peris, 2021. "The Influence of Research Reports on Stock Returns: The Mediating Effect of Machine-Learning-Based Investor Sentiment," Discrete Dynamics in Nature and Society, Hindawi, vol. 2021, pages 1-14, December.
  11. David E. Allen & Michael McAleer & Abhay K. Singh, 2014. "Machine news and volatility: The Dow Jones Industrial Average and the TRNA sentiment series," Documentos de Trabajo del ICAE 2014-02, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
  12. Chou, Ke-Hsin & Day, Min-Yuh & Chiu, Chien-Liang, 2023. "Do bitcoin news information flow and return volatility fit the sequential information arrival hypothesis and the mixture of distribution hypothesis?," International Review of Economics & Finance, Elsevier, vol. 88(C), pages 365-385.
  13. 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).
  14. Shahid Raza & Sun Baiqing & Pwint Kay-Khine & Muhammad Ali Kemal, 2023. "Uncovering the Effect of News Signals on Daily Stock Market Performance: An Econometric Analysis," IJFS, MDPI, vol. 11(3), pages 1-25, August.
  15. Seok, Sangik & Cho, Hoon & Ryu, Doojin, 2024. "Dual effects of investor sentiment and uncertainty in financial markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 95(C), pages 300-315.
  16. Seok, Sangik & Cho, Hoon & Ryu, Doojin, 2022. "Scheduled macroeconomic news announcements and intraday market sentiment," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
  17. Seetharam, Yudhvir & Nyakurukwa, Kingstone, 2024. "Do optimistic portfolios outperform pessimistic portfolios: Evidence from textual sentiment," Economics Letters, Elsevier, vol. 242(C).
  18. Farrell, Hugh & O'Connor, Fergal, 2025. "The CNN Fear and Greed Index as a predictor of US equity index returns: Static and time-varying Granger causality," Finance Research Letters, Elsevier, vol. 72(C).
  19. Wang, Gaoshan & Yu, Guangjin & Shen, Xiaohong, 2021. "The effect of online environmental news on green industry stocks: The mediating role of investor sentiment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 573(C).
  20. Anca Ioana, Iacob (Troto), 2021. "Investor Sentiment - Theoretical Aspects And Practical Conclusions, In The Context Of The Pandemic Crisis," Management Strategies Journal, Constantin Brancoveanu University, vol. 51(1), pages 122-128.
  21. Steven Buigut and Burcu Kapar, 2022. "Do COVID-19 Incidence and Government Intervention Influence Media Indices?," Bulletin of Applied Economics, Risk Market Journals, vol. 9(2), pages 79-100.
  22. Suchismita Mishra & Le Zhao, 2021. "Order Routing Decisions for a Fragmented Market: A Review," JRFM, MDPI, vol. 14(11), pages 1-32, November.
  23. Yao, Can-Zhong & Li, Hong-Yu, 2020. "Time-varying lead–lag structure between investor sentiment and stock market," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
  24. Durand, Robert B. & Khuu, Joyce & Smales, Lee A., 2023. "Lost in translation. When sentiment metrics for one market are derived from two different languages," Journal of Behavioral and Experimental Finance, Elsevier, vol. 39(C).
  25. Seok, Sang Ik & Cho, Hoon & Ryu, Doojin, 2021. "Stock Market’s responses to intraday investor sentiment," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
  26. Zihan Dong & Xinyu Fan & Zhiyuan Peng, 2024. "FNSPID: A Comprehensive Financial News Dataset in Time Series," Papers 2402.06698, arXiv.org.
  27. Kao, Yu-Sheng & Day, Min-Yuh & Chou, Ke-Hsin, 2024. "A comparison of bitcoin futures return and return volatility based on news sentiment contemporaneously or lead-lag," The North American Journal of Economics and Finance, Elsevier, vol. 72(C).
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