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Descripción del Articulo
Objectives: To propose the use of artificial intelligence to partially reduce uncertainty when investing in the stock market. To demonstrate, through the use of fuzzy logic, that with this proposal it is possible to obtain positive results and high profitability. Methods: The research approach is qu...
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| Formato: | artículo |
| Fecha de Publicación: | 2023 |
| Institución: | Universidad Ricardo Palma |
| Repositorio: | Revistas - Universidad Ricardo Palma |
| Lenguaje: | español |
| OAI Identifier: | oai:oai.revistas.urp.edu.pe:article/5167 |
| Enlace del recurso: | http://revistas.urp.edu.pe/index.php/Global_Business/article/view/5167 |
| Nivel de acceso: | acceso abierto |
| Materia: | Español Ciencia de los Datos Lógica Difusa Bolsa de Valores Inversión |
| Sumario: | Objectives: To propose the use of artificial intelligence to partially reduce uncertainty when investing in the stock market. To demonstrate, through the use of fuzzy logic, that with this proposal it is possible to obtain positive results and high profitability. Methods: The research approach is quantitative experimental and quali-quantitative descriptive; micro and macroeconomic information is taken to experiment with a stock of the Lima Stock Exchange. Quali-quantitative results from previous research are analyzed. Results: It is demonstrated that it is possible to use artificial intelligence to make better investments in the Stock Exchange. In addition, high profitability is obtained in the experiment. Conclusions: The use of artificial intelligence and, specifically, a fuzzy logic algorithm, is effective in conveying knowledge, experience and reducing uncertainty when investing in different financial markets. However, there is still much to be developed in this area and no algorithm should be considered infallible. Keywords: Data Science; Fuzzy Logic; Stock Exchange; Investment. |
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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).