Cargando…
Neural Networks for Financial Time Series Forecasting
Financial and economic time series forecasting has never been an easy task due to its sensibility to political, economic and social factors. For this reason, people who invest in financial markets and currency exchange are usually looking for robust models that can ensure them to maximize their prof...
Autores principales: | Sako, Kady, Mpinda, Berthine Nyunga, Rodrigues, Paulo Canas |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9141105/ https://www.ncbi.nlm.nih.gov/pubmed/35626542 http://dx.doi.org/10.3390/e24050657 |
Ejemplares similares
-
Time series forecasting using singular spectrum analysis, fuzzy systems and neural networks
por: Sulandari, Winita, et al.
Publicado: (2020) -
Forecasting Financial Time Series through Causal and Dilated Convolutional Neural Networks
por: Börjesson, Lukas, et al.
Publicado: (2020) -
Spatiotemporal Transformer Neural Network for Time-Series Forecasting
por: You, Yujie, et al.
Publicado: (2022) -
Multi-Task Time Series Forecasting Based on Graph Neural Networks
por: Han, Xiao, et al.
Publicado: (2023) -
DRCNN: decomposing residual convolutional neural networks for time series forecasting
por: Zhu, Yuzhen, et al.
Publicado: (2023)