Crude oil price prediction using deep reinforcement learning-Reference-Cited by-同舟云学术

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Crude oil price prediction using deep reinforcement learning

Published:2023-03 Issue: Volume:81 Page:103363
ISSN:0301-4207
Container-title:Resources Policy
language:en
Short-container-title:Resources Policy

Author:

Liang Xuedong,Luo Peng,Li Xiaoyan,Wang Xia,Shu Lingli

Funder

Natural Science Foundation of Sichuan Province

National Natural Science Foundation of China

Ministry of Education of the People's Republic of China

Publisher

Elsevier BV

Subject

Law,Management, Monitoring, Policy and Law,Economics and Econometrics,Sociology and Political Science

Reference76 articles.

1. The impact of oil price uncertainty on GCC stock markets;Alqahtani;Resour. Pol.,2019

2. Deep reinforcement learning: a brief survey;Arulkumaran;IEEE Signal Process. Mag.,2017

3. Volatility spillovers between WTI and Brent spot crude oil prices: an analysis of granger causality in variance patterns over time;Atukeren;Res. Int. Bus. Finance,2021

4. Crude oil price forecasting incorporating news text;Bai;Int. J. Forecast.,2022

5. Modes decomposition method in fusion with robust random vector functional link network for crude oil price forecasting;Bisoi;Appl. Soft Comput.,2019

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2. Interval prediction of crude oil spot price volatility: An improved hybrid model integrating decomposition strategy, IESN and ARIMA;Expert Systems with Applications;2024-10

3. A combined model using secondary decomposition for crude oil futures price and volatility forecasting: Analysis based on comparison and ablation experiments;Expert Systems with Applications;2024-10

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