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News Dissemination and Investor Attention

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  • Romain Boulland
  • François Degeorge
  • Edith Ginglinger

Abstract

We examine how investor attention changes when a firm adopts a modern news dissemination technology. We find that after continental European firms begin using an English-language electronic wire service to disseminate company news, they exhibit a stronger initial reaction to earnings surprises, a lower post earnings announcement stock price drift, and an increase in abnormal trading volume near earnings announcements, compared with when they disseminated their news in non-electronic format and in a continental European language. Our results hold for a sub-sample of firms for which the decision to use a wire service was likely exogenous. The effect of wire services on investor attention is due to the format of news (electronic and English-language), not to the increased speed of news transmission.

Suggested Citation

  • Romain Boulland & François Degeorge & Edith Ginglinger, 2017. "News Dissemination and Investor Attention," Review of Finance, European Finance Association, vol. 21(2), pages 761-791.
  • Handle: RePEc:oup:revfin:v:21:y:2017:i:2:p:761-791.
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    File URL: http://hdl.handle.net/10.1093/rof/rfw018
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    Cited by:

    1. Chinmoy Ghosh & Cristian Pinto‐Gutiérrez & Jaideep Shenoy, 2024. "Does negative news disclosure induce better decision‐making? Evidence from acquisitions," The Financial Review, Eastern Finance Association, vol. 59(2), pages 325-372, May.
    2. Reyes, Tomas & Batista, Julian A. & Chacon, Alvaro & Martinez, Diego & Kausel, Edgar E., 2023. "Attention-driven reaction to extreme earnings surprises," The Quarterly Review of Economics and Finance, Elsevier, vol. 92(C), pages 230-248.
    3. Fedyk, Anastassia & Hodson, James, 2023. "When can the market identify old news?," Journal of Financial Economics, Elsevier, vol. 149(1), pages 92-113.
    4. Martineau, Charles, 2021. "Rest in Peace Post-Earnings Announcement Drift," SocArXiv z7k3p, Center for Open Science.
    5. Zhang, Xiaotao & Li, Guoran & Li, Yishuo & Zou, Gaofeng & Wu, Ji George, 2023. "Which is more important in stock market forecasting: Attention or sentiment?," International Review of Financial Analysis, Elsevier, vol. 89(C).
    6. G. Andrew Karolyi & Dawoon Kim & Rose Liao, 2020. "The Theory and Practice of Investor Relations: A Global Perspective," Management Science, INFORMS, vol. 66(10), pages 4746-4771, October.
    7. Anh Dang & Trung Nguyen, 2021. "Valuation Effect of Emotionality in Corporate Philanthropy," Journal of Business Ethics, Springer, vol. 173(1), pages 47-67, September.
    8. Cronqvist, Henrik & Ladika, Tomislav & Pazaj, Elisa & Sautner, Zacharias, 2024. "Limited attention to detail in financial markets: Evidence from reduced-form and structural estimation," Journal of Financial Economics, Elsevier, vol. 154(C).
    9. Felix Drinkall & Janet B. Pierrehumbert & Stefan Zohren, 2024. "Traditional Methods Outperform Generative LLMs at Forecasting Credit Ratings," Papers 2407.17624, arXiv.org.
    10. Chen, Rongda & Qian, Qian & Jin, Chenglu & Xu, Min & Song, Qiping, 2020. "Investor attention on internet financial markets," Finance Research Letters, Elsevier, vol. 36(C).
    11. Cheng, Feiyang & Chiao, Chaoshin & Wang, Chunfeng & Fang, Zhenming & Yao, Shouyu, 2021. "Does retail investor attention improve stock liquidity? A dynamic perspective," Economic Modelling, Elsevier, vol. 94(C), pages 170-183.
    12. Cornaggia, Kimberly & Hund, John & Nguyen, Giang, 2022. "Investor attention and municipal bond returns," Journal of Financial Markets, Elsevier, vol. 60(C).

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    More about this item

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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