Búsqueda avanzada

OSCAR ENRIQUE MIRANDA CASTILLO

OSCAR ENRIQUE MIRANDA CASTILLO

OSCAR ENRIQUE MIRANDA CASTILLO

Doutorado em Engenharia de produção, PUC-Rio

Ver todos los grados

Maestría en Finanzas Aplicadas (MACQUARIE UNIVERSITY)

Ingeniero Industrial
DOCENTE ORDINARIO - ASOCIADO
Docente a tiempo completo (DTC)
Departamento Académico de Ingeniería - Sección Ingeniería Industrial

Publicaciones

Se encontraron 15 publicaciones

MIRANDA, O. E.(2025). Development of a predictive model to estimate disbursements and unit sale costs in a financial institution using Machine Learning. En "Engineering, Artificial Intelligence, and Sustainable Technologies in service of society" Proceedings of the 23rd LACCEI International Multi-Conference for Engineering, Education and Technology (LACCEI). Latin American and Caribbean Consortium of Engineering Institutions. Recuperado de: https://laccei.org/LACCEI2025-Mexico/meta/FP1827.html
VILLAVICENCIO, J. A.; MIRANDA, O. E.; VILLANUEVA, E. R.(2025). The adaptive markets hypothesis through the lens of machine learning. HELIYON. Volumen: 12. Recuperado de: https://www.sciencedirect.com/science/article/pii/S2405844025026842
ULLOA, A. E.; VILLANUEVA, E. R.; MIRANDA, O. E.; VILLAVICENCIO, J. A.; ESPEZUA, S.(2022). Predicting Daily Trends in the Lima Stock Exchange General Index Using Economic Indicators and Financial News Sentiments. En Communications in Computer and Information Science. (pp. 34 - 49). SAO PAULO. Springer. Recuperado de: https://link.springer.com/chapter/10.1007/978-3-031-04447-2_3#Abs1
ULLOA, A. E.; Espezúa, S.; VILLAVICENCIO, J. A.; MIRANDA, O. E.; VILLANUEVA, E. R.(2022). Predicting daily trends in the Lima Stock Exchange general index using economic indicators and financial news sentiments. Comunications in computer and information science. (pp. 34 - 49).
CHAPI, D. M.; ESPEZUA, S.; VILLAVICENCIO, J. A.; MIRANDA, O. E.; VILLANUEVA, E. R.(2021). Modeling and Predicting the Lima Stock Exchange General Index with Bayesian Networks and Information from Foreign Markets. En Information Management and Big Data. (pp. 154 - 168). CHAM. Springer International Publishing. Recuperado de: https://doi.org/10.1007/978-3-030-76228-5_11
CHAPI, D. M.; ESPEZUA, S.; VILLAVICENCIO, J. A.; MIRANDA, O. E.; VILLANUEVA, E. R.(2021). Modeling and Predicting the Lima Stock Exchange General Index with Bayesian Networks and Information from Foreign Markets . Comunications in computer and information science. Volumen: 1410. (pp. 154 - 168).
ULLOA, A. E.; ESPEZUA, S.; VILLAVICENCIO, J. A.; MIRANDA, O. E.; VILLANUEVA, E. R.(2021). Predicting Daily Trends in the Lima Stock Exchange General Index Using Economic Indicators and Financial News Sentiments. En Conference of 8th Annual International Conference on Information Management and Big Data. Springer. Recuperado de: https://link.springer.com/chapter/10.1007/978-3-031-04447-2_3
CHAPI, D. M.; ESPEZUA, S.; VILLAVICENCIO, J. A.; MIRANDA, O. E.; VILLANUEVA, E. R.(2020). Modeling and Predicting the Lima Stock Exchange General Index with Bayesian Networks and Information from Foreign Markets . En Conference of 7th Annual International Conference on Information Management and Big Data, SIMBig 2020. (pp. 154 - 168). LIMA. SIMBig 2020.