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Investor emotions and earnings announcements

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  • Vamossy, Domonkos F.

Abstract

Armed with a decade of social media data, I explore the impact of investor emotions on earnings announcements. In particular, I test whether the emotional content of firm-specific messages posted on social media just prior to a firm’s earnings announcement predicts its earnings and announcement returns. I find that investors are typically excited about firms that end up exceeding expectations, yet their enthusiasm results in lower announcement returns. Specifically, a standard deviation increase in excitement is associated with an 7.8 basis points lower announcement return, which translates into an approximately −5.8% annualized loss. My findings confirm that emotions and market dynamics are closely related and highlight the importance of considering investor emotions when assessing a firm’s short-term value.

Suggested Citation

  • Vamossy, Domonkos F., 2021. "Investor emotions and earnings announcements," Journal of Behavioral and Experimental Finance, Elsevier, vol. 30(C).
  • Handle: RePEc:eee:beexfi:v:30:y:2021:i:c:s2214635021000186
    DOI: 10.1016/j.jbef.2021.100474
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    Cited by:

    1. 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.
    2. Adebayo Oshingbesan & Eniola Ajiboye & Peruth Kamashazi & Timothy Mbaka, 2022. "Model-Free Reinforcement Learning for Asset Allocation," Papers 2209.10458, arXiv.org.
    3. Neenu C & T Mohamed Nishad, 2022. "Behavior of Financial Markets Around News Announcements: A Review Based on Bibliometric Analysis of Scientific Fields," The Review of Finance and Banking, Academia de Studii Economice din Bucuresti, Romania / Facultatea de Finante, Asigurari, Banci si Burse de Valori / Catedra de Finante, vol. 14(2), pages 143-172, December.
    4. Domonkos F. Vamossy, 2023. "Social Media Emotions and IPO Returns," Papers 2306.12602, arXiv.org, revised Nov 2023.

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    More about this item

    Keywords

    Deep learning; Investor emotions; Capital markets;
    All these keywords.

    JEL classification:

    • G41 - Financial Economics - - Behavioral Finance - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making in Financial Markets
    • L82 - Industrial Organization - - Industry Studies: Services - - - Entertainment; Media

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