Investor emotions and earnings announcements
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DOI: 10.1016/j.jbef.2021.100474
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Cited by:
- 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.
- Adebayo Oshingbesan & Eniola Ajiboye & Peruth Kamashazi & Timothy Mbaka, 2022. "Model-Free Reinforcement Learning for Asset Allocation," Papers 2209.10458, arXiv.org.
- Liu, Qigui & Chi, Wenqiang & Wang, Junyi, 2024. "How informative is question-and-answer similarity to financial analysts? Evidence from Chinese earnings communication conferences," Economic Modelling, Elsevier, vol. 135(C).
- 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.
- Evangelos Liaras & Michail Nerantzidis & Antonios Alexandridis, 2024. "Machine learning in accounting and finance research: a literature review," Review of Quantitative Finance and Accounting, Springer, vol. 63(4), pages 1431-1471, November.
- Domonkos F. Vamossy, 2023. "Social Media Emotions and IPO Returns," Papers 2306.12602, arXiv.org, revised Apr 2024.
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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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