A Combined Model Based on Recurrent Neural Networks and Graph Convolutional Networks for Financial Time Series Forecasting

A Combined Model Based on Recurrent Neural Networks and Graph Convolutional Networks for Financial Time Series Forecasting

Accurate and real-time forecasting of the price of oil plays an important role in the world economy. Research interest in forecasting this type of time series has increased considerably in recent decades, since, due to the characteristics of the time series, it was a complicated task with inaccurate...

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Bibliographic Details
Main Authors:	Ana Lazcano, Pedro Javier Herrera, Manuel Monge
Format:	Article
Language:	English
Published:	MDPI AG 2023-01-01
Series:	Mathematics
Subjects:	time series forecasting financial forecasting recurrent neural network BiLSTM graph convolutional network
Online Access:	https://www.mdpi.com/2227-7390/11/1/224

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