Por qué el índice de sentimiento neto debería ser una prioridad: un estudio de caso de la industria bancaria

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The Anáhuac Journal
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Publicado: Jun 26, 2024
DOI: https://doi.org/10.36105/theanahuacjour.2024v24n1.10
Palabras clave:
rendimiento accionario, índice de sentimiento neto (ISN), impacto en el valor de la marca, regresión de modelo lineal robusto

Contenido principal del artículo

José Guadalupe Mendoza Macías
Quantum Analytics, Sinaloa, México
Román Alejandro Mendoza Urdiales
Quantum Analytics, Sinaloa, México
https://orcid.org/0000-0003-2888-156X

Resumen

El artículo analiza el impacto de los comentarios en redes sociales sobre el rendimiento de las acciones de los bancos en el mercado de valores de EE.UU. Se empleó inteligencia artificial para monitorear y extraer comentarios en tiempo real, y se utilizó el procesamiento de lenguaje natural para calcular el sentimiento de cada comentario. Los comentarios se clasificaron como positivos o negativos y se agregaron, por hora, para cada banco durante el período observado. Los resultados mostraron que tanto los comentarios positivos como los negativos tienen un efecto significativo en el rendimiento de las acciones, con un impacto asimétrico más pronunciado en el caso de los comentarios negativos. Este estudio contribuye a la comprensión de cómo la interacción en redes sociales puede influir en el valor de mercado de las empresas y destaca la importancia para las compañías que cotizan en bolsa de monitorear y gestionar la percepción en línea.

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Mendoza Macías, J. G., & Mendoza Urdiales, R. A. (2024). Por qué el índice de sentimiento neto debería ser una prioridad: un estudio de caso de la industria bancaria. The Anáhuac Journal, 24(1), Págs. 272–293. https://doi.org/10.36105/theanahuacjour.2024v24n1.10
Número
Vol. 24 Núm. 1 (2024): The Anáhuac Journal, Vol. 24, núm. 1, 2024, Primer Semestre
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Artículos
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The Anáhuac Journal se distribuye bajo Licencia Creative Commons Atribución-NoComercial-CompartirIgual 4.0 Internacional.

 

Biografía del autor/a

José Guadalupe Mendoza Macías, Quantum Analytics, Sinaloa, México

José Mendoza is a distinguished professional in the technology and financial sectors, with over three decades of experience in leadership roles and systems development. He demonstrates exceptional skill in integrating technological solutions into complex business operations. Throughout his career, José has led a variety of innovative projects, excelling in the implementation of biometric systems and customer identification platforms that have transformed banking and retail operations in various countries. His commitment to continuous technological advancement and his ability to adapt new technologies to business demands highlight his strategic vision and executive competence. José contributes not only his vast technical knowledge but also his practical experience in process optimization and the application of strategic technologies, which is essential for companies in the technology and financial sectors aspiring to lead in a highly competitive market.

Román Alejandro Mendoza Urdiales, Quantum Analytics, Sinaloa, México

Román Mendoza is a leader in the artificial intelligence industry within consulting, working on developing solutions, strengthening capabilities, and generating knowledge in the field. His work focuses on delivering cutting-edge projects that integrate big data analytics and natural language processing to drive data-driven decision-making. With a solid track record of over 12 years in consulting projects, Román has specialized in implementing advanced technologies for operations research.

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