Financial Time Series Forecasting with the Deep Learning Ensemble Model

With the continuous development of financial markets worldwide to tackle rapid changes such as climate change and global warming, there has been increasing recognition of the importance of financial time series forecasting in financial market operation and management. In this paper, we propose a new...

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Bibliographic Details
Main Authors: Kaijian He, Qian Yang, Lei Ji, Jingcheng Pan, Yingchao Zou
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/11/4/1054