IDEAS home Printed from https://ideas.repec.org/r/rru/oapubs/10197-8208.html
   My bibliography  Save this item

Media-expressed negative tone and firm-level stock returns

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Duan, Jiaxin & Kou, Fangyuan & Wang, Zining & Wei, Yixin, 2024. "When echoes surpass voices: Market reaction to forwarded news," International Review of Financial Analysis, Elsevier, vol. 96(PA).
  2. Xue, Wenjun & He, Zhongzhi & Wang, FeiFei, 2024. "MD&A tone and stock returns," Journal of Contemporary Accounting and Economics, Elsevier, vol. 20(3).
  3. André Betzer & Jan Philipp Harries, 2022. "How online discussion board activity affects stock trading: the case of GameStop," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 36(4), pages 443-472, December.
  4. Liu, Cheng & Gao, Xinyi & Dong, Siyuan, 2024. "Female CEOs’ name gender-neutralization and audit fees: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 96(PA).
  5. Yang, Shanxiang & Liu, Zhechen & Wang, Xinjie, 2020. "News sentiment, credit spreads, and information asymmetry," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
  6. Bajo, Emanuele & Raimondo, Carlo, 2017. "Media sentiment and IPO underpricing," Journal of Corporate Finance, Elsevier, vol. 46(C), pages 139-153.
  7. Thomas Renault, 2020. "Sentiment analysis and machine learning in finance: a comparison of methods and models on one million messages," Digital Finance, Springer, vol. 2(1), pages 1-13, September.
  8. Athira, A. & Ramesh, Vishnu K., 2023. "COVID-19 and corporate tax avoidance: International evidence," International Business Review, Elsevier, vol. 32(4).
  9. Liang, Qi & Sun, Wenjia & Li, Wenyu & Yu, Fengyan, 2021. "Media effects matter: Macroeconomic announcements in the gold futures market," Economic Modelling, Elsevier, vol. 96(C), pages 1-12.
  10. Kim, Hee-Eun & Jo, Hoje & Ahn, Tae-Wook & Yi, Junesuh, 2022. "Corporate misconduct, media coverage, and stock returns," International Review of Financial Analysis, Elsevier, vol. 84(C).
  11. Tom Marty & Bruce Vanstone & Tobias Hahn, 2020. "News media analytics in finance: a survey," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(2), pages 1385-1434, June.
  12. Wu, Chunying & Xiong, Xiong & Gao, Ya, 2022. "The role of different information sources in information spread: Evidence from three media channels in China," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 327-341.
  13. 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.
  14. Almanzar, Miguel & Torero, Maximo, 2017. "Media Coverage and Food Commodities: Agricultural Futures Prices and Volatility Effects," Discussion Papers 264781, University of Bonn, Center for Development Research (ZEF).
  15. Zhou, Xi & Chen, Shou, 2021. "FinTech innovation regulation based on reputation theory with the participation of new media," Pacific-Basin Finance Journal, Elsevier, vol. 67(C).
  16. Ardia, David & Bluteau, Keven & Boudt, Kris, 2022. "Media abnormal tone, earnings announcements, and the stock market," Journal of Financial Markets, Elsevier, vol. 61(C).
  17. Barakat, Ahmed & Ashby, Simon & Fenn, Paul & Bryce, Cormac, 2019. "Operational risk and reputation in financial institutions: Does media tone make a difference?," Journal of Banking & Finance, Elsevier, vol. 98(C), pages 1-24.
  18. Que, Jiangjing & Zhang, Xueyong, 2021. "Money chasing hot industries? Investor attention and valuation of venture capital backed firms," Journal of Corporate Finance, Elsevier, vol. 68(C).
  19. Zhang, Heng-Guo & CAO, Tingting & Li, Houxuan & Xu, Tiantian, 2021. "Dynamic measurement of news-driven information friction in China's carbon market: Theory and evidence," Energy Economics, Elsevier, vol. 95(C).
  20. Dutta, Shantanu & Fuksa, Michel & Macaulay, Ken, 2019. "Determinants of MD&A sentiment in Canada," International Review of Economics & Finance, Elsevier, vol. 60(C), pages 130-148.
  21. Liu, Sha & Gaskell, Paul & McGroarty, Frank, 2022. "Where and about what? Price relevant narratives depend on topic and media type," Economics Letters, Elsevier, vol. 213(C).
  22. Miwa, Kotaro, 2022. "The informational role of analysts’ textual statements," Research in International Business and Finance, Elsevier, vol. 59(C).
  23. Möller, Rouven & Reichmann, Doron, 2023. "COVID-19 related TV news and stock returns: Evidence from major US TV stations," The Quarterly Review of Economics and Finance, Elsevier, vol. 87(C), pages 95-109.
  24. Shuyu Zhang & Xuanyu Zhou & Huifeng Pan & Junyi Jia, 2019. "Cryptocurrency, confirmatory bias and news readability – evidence from the largest Chinese cryptocurrency exchange," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(5), pages 1445-1468, March.
  25. Liu, Sha & Han, Jingguang, 2020. "Media tone and expected stock returns," International Review of Financial Analysis, Elsevier, vol. 70(C).
  26. Du, Hanyu & Hao, Jing & He, Feng & Xi, Wenze, 2022. "Media sentiment and cross-sectional stock returns in the Chinese stock market," Research in International Business and Finance, Elsevier, vol. 60(C).
  27. Frijns, Bart & Huynh, Thanh D., 2018. "Herding in analysts’ recommendations: The role of media," Journal of Banking & Finance, Elsevier, vol. 91(C), pages 1-18.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.