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Information, Trading, and Volatility: Evidence from Firm-Specific News

Citations

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Cited by:

  1. Meng, Yongqiang & Goodell, John W. & Shen, Dehua, 2023. "Information shocks and investor underreaction: Evidence from the Bitcoin market," Finance Research Letters, Elsevier, vol. 56(C).
  2. Ballinari, Daniele & Audrino, Francesco & Sigrist, Fabio, 2022. "When does attention matter? The effect of investor attention on stock market volatility around news releases," International Review of Financial Analysis, Elsevier, vol. 82(C).
  3. Joachim Gassen & Hollis A. Skaife & David Veenman, 2020. "Illiquidity and the Measurement of Stock Price Synchronicity," Contemporary Accounting Research, John Wiley & Sons, vol. 37(1), pages 419-456, March.
  4. Oguz Ersan & Montasser Ghachem, 2024. "Identifying Information Types in the Estimation of Informed Trading: An Improved Algorithm," JRFM, MDPI, vol. 17(9), pages 1-20, September.
  5. Chen, Cathy Yi-Hsuan & Fengler, Matthias R. & Härdle, Wolfgang Karl & Liu, Yanchu, 2022. "Media-expressed tone, option characteristics, and stock return predictability," Journal of Economic Dynamics and Control, Elsevier, vol. 134(C).
  6. Aysan, Ahmet Faruk & Caporin, Massimiliano & Cepni, Oguzhan, 2024. "Not all words are equal: Sentiment and jumps in the cryptocurrency market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 91(C).
  7. Kallinterakis, Vasileios & Karaa, Rabaa, 2023. "From dusk till dawn (and vice versa): Overnight-versus-daytime reversals and feedback trading," International Review of Financial Analysis, Elsevier, vol. 85(C).
  8. Banerjee, Ameet Kumar & Dionisio, Andreia & Pradhan, H.K. & Mahapatra, Biplab, 2021. "Hunting the quicksilver: Using textual news and causality analysis to predict market volatility," International Review of Financial Analysis, Elsevier, vol. 77(C).
  9. Hoang, Daniel & Wiegratz, Kevin, 2022. "Machine learning methods in finance: Recent applications and prospects," Working Paper Series in Economics 158, Karlsruhe Institute of Technology (KIT), Department of Economics and Management.
  10. Akey, Pat & Grégoire, Vincent & Martineau, Charles, 2022. "Price revelation from insider trading: Evidence from hacked earnings news," Journal of Financial Economics, Elsevier, vol. 143(3), pages 1162-1184.
  11. Likittanawong Supawat & Leemakdej Arnat, 2023. "Market Reaction to Corporate Releases and News Articles: Evidence from Thailand’s Stock Market," IJFS, MDPI, vol. 11(3), pages 1-27, September.
  12. Alex YiHou Huang & Ming-Che Hu & Quang Thai Truong, 2021. "Asymmetrical impacts from overnight returns on stock returns," Review of Quantitative Finance and Accounting, Springer, vol. 56(3), pages 849-889, April.
  13. Libo Yin & Jing Nie & Liyan Han, 2021. "Intermediary capital risk and commodity futures volatility," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(5), pages 577-640, May.
  14. Meng, Yongqiang & Li, Xiao & Xiong, Xiong, 2024. "Information shocks and short-term market overreaction: The role of investor attention," International Review of Financial Analysis, Elsevier, vol. 93(C).
  15. Lee, Kangsan & Jeong, Daeyoung, 2023. "Too much is too bad: The effect of media coverage on the price volatility of cryptocurrencies," Journal of International Money and Finance, Elsevier, vol. 133(C).
  16. Zhu, Zhaobo & Ding, Wenjie & Jin, Yi & Shen, Dehua, 2023. "Dissecting the idiosyncratic volatility puzzle: A fundamental analysis approach," Research in International Business and Finance, Elsevier, vol. 66(C).
  17. Costas Milas & Theodore Panagiotidis & Theologos Dergiades, 2021. "Does It Matter Where You Search? Twitter versus Traditional News Media," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(7), pages 1757-1795, October.
  18. Yang, Ann Shawing, 2020. "Misinformation corrections of corporate news: Corporate clarification announcements," Pacific-Basin Finance Journal, Elsevier, vol. 61(C).
  19. Brière, Marie & Huynh, Karen & Laudy, Olav & Pouget, Sébastien, 2023. "Stock market reaction to news: Do tense and horizon matter?," Finance Research Letters, Elsevier, vol. 58(PD).
  20. Jeon, Yoontae & McCurdy, Thomas H. & Zhao, Xiaofei, 2022. "News as sources of jumps in stock returns: Evidence from 21 million news articles for 9000 companies," Journal of Financial Economics, Elsevier, vol. 145(2), pages 1-17.
  21. Huang, Xiuqi & Meng, Yongqiang, 2024. "Information shock, market reaction, and stock message board information diffusion," The Quarterly Review of Economics and Finance, Elsevier, vol. 95(C), pages 180-192.
  22. Xi Wu & Xinle Tong & Yudong Wang, 2022. "Managerial ability and idiosyncratic volatility," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 2566-2581, April.
  23. Mengyu Zhang & Thanos Verousis & Iordanis Kalaitzoglou, 2022. "Information and the arrival rate of option trading volume," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(4), pages 605-644, April.
  24. 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).
  25. Van Ness, Bonnie & Van Ness, Robert & Yildiz, Serhat, 2021. "Private information in trades, R2, and large stock price movements," Journal of Banking & Finance, Elsevier, vol. 131(C).
  26. Katherine B. Ensor & Yu Han & Barbara Ostdiek & Stuart M. Turnbull, 0. "Dynamic jump intensities and news arrival in oil futures markets," Journal of Asset Management, Palgrave Macmillan, vol. 0, pages 1-34.
  27. Davide Pettenuzzo & Riccardo Sabbatucci & Allan Timmermann, 2020. "Cash Flow News and Stock Price Dynamics," Journal of Finance, American Finance Association, vol. 75(4), pages 2221-2270, August.
  28. Ben-Rephael, Azi & Cookson, J. Anthony & izhakian, yehuda, 2022. "Do I Really Want to Hear The News? Public Information Arrival and Investor Beliefs," SocArXiv ud7yw, Center for Open Science.
  29. Li, Xiao, 2020. "When financial literacy meets textual analysis: A conceptual review," Journal of Behavioral and Experimental Finance, Elsevier, vol. 28(C).
  30. 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).
  31. William C Gerken & Marcus O Painter & Itay Goldstein, 2023. "The Value of Differing Points of View: Evidence from Financial Analysts’ Geographic Diversity," The Review of Financial Studies, Society for Financial Studies, vol. 36(2), pages 409-449.
  32. Zhang, Zuochao & Shen, Dehua, 2024. "Firm-specific new media sentiment and price synchronicity," Research in International Business and Finance, Elsevier, vol. 69(C).
  33. Brière, Marie & Huynh, Karen & Laudy, Olav & Pouget, Sébastien, 2023. "What do we Learn from a Machine Understanding: News Content? Stock Market Reaction to News," TSE Working Papers 23-1401, Toulouse School of Economics (TSE).
  34. Chen, Sipeng & Li, Gang, 2023. "Why does option-implied volatility forecast realized volatility? Evidence from news events," Journal of Banking & Finance, Elsevier, vol. 156(C).
  35. Meng‐Feng Yen & Yu‐Pei Huang & Liang‐Chih Yu & Yueh‐Ling Chen, 2022. "A Two-Dimensional Sentiment Analysis of Online Public Opinion and Future Financial Performance of Publicly Listed Companies," Computational Economics, Springer;Society for Computational Economics, vol. 59(4), pages 1677-1698, April.
  36. Barardehi, Yashar H. & Bernhardt, Dan & Da, Zhi & Mitch Warachka, Mitch, 2022. "Institutional Liquidity Demand and the Internalization of Retail Order Flow : The Tail Does Not Wag the Dog," The Warwick Economics Research Paper Series (TWERPS) 1394, University of Warwick, Department of Economics.
  37. Katherine B. Ensor & Yu Han & Barbara Ostdiek & Stuart M. Turnbull, 2020. "Dynamic jump intensities and news arrival in oil futures markets," Journal of Asset Management, Palgrave Macmillan, vol. 21(4), pages 292-325, July.
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