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Título: Dividend announcement and the value of sentiment analysis
Fecha de publicación: 26-feb-2024
Editorial: Taylor & Francis Group
Cita bibliográfica: Journal of Management Analytics 2024
ISSN: Print: 2327-0012
Electronic: 2327-0039
Palabras clave: Payout policy
Dividend announcement
Sentiment analysis
Financial news
Market reaction
Investment strategies
Resumen: Payout policy constitutes one of the most important corporate financial decisions since dividends are essential factors in determining a firm’s value. A dividend announcement generates a market signal which translates into changes in stock returns, impacting short-term price fluctuations and producing abnormal returns. The sample consists of 394 companies listed on the S&P500 index, from which 1574 dividend announcements and 7222 news items are derived during the years 2022–2023. News pieces are obtained from 58 specialized sources, and ChatGPT is used to automate the sentiment extracted from them. Using sentiment analysis, this paper shows the key role played by sentiments derived from financial news posted just after dividend announcements in predicting market reaction and helping investors to select optimal investment strategies. This paper contributes to the current literature, highlighting the influence that sentiments have on determining stock market returns.
Autor/es principal/es: Álvarez Díez, Susana
Baixauli Soler, Juan Samuel
Kondratenko, Anna
Lozano Reina, Gabriel
Facultad/Departamentos/Servicios: Facultades, Departamentos, Servicios y Escuelas::Departamentos de la UMU::Organización de Empresas y Finanzas
Versión del editor: https://www.tandfonline.com/doi/full/10.1080/23270012.2024.2306929?src=
URI: http://hdl.handle.net/10201/140283
DOI: https://doi.org/10.1080/23270012.2024.2306929
Tipo de documento: info:eu-repo/semantics/article
Número páginas / Extensión: 31
Derechos: info:eu-repo/semantics/openAccess
Atribución-NoComercial 4.0 Internacional
Descripción: © 2024. The authors. This document is made available under the CC-BY-NC 4.0 license http://creativecommons.org/licenses/by-nc /4.0/ This document is the accepted version of a published work that appeared in final form in Journal of Management Analytics. To access the final work, see DOI: https://doi.org/10.1080/23270012.2024.2306929
Aparece en las colecciones:Artículos: Organización de Empresas y Finanzas

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