Limited information limits accuracy: Whether ensemble empirical mode decomposition improves crude oil spot price prediction?-Reference-Cited by-同舟云学术

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Limited information limits accuracy: Whether ensemble empirical mode decomposition improves crude oil spot price prediction?

Published:2023-05 Issue: Volume:87 Page:102625
ISSN:1057-5219
Container-title:International Review of Financial Analysis
language:en
Short-container-title:International Review of Financial Analysis

Author:

Xu Kunliang,Wang Weiqing

Funder

Fundamental Research Funds for the Central Universities

Humanities and Social Science Fund of Ministry of Education of the People's Republic of China

Humanities and Social Sciences Youth Foundation, Ministry of Education of the People's Republic of China

Publisher

Elsevier BV

Subject

Economics and Econometrics,Finance

Reference47 articles.

1. A novel hybrid model for forecasting crude oil price based on time series decomposition;Abdollahi;Applied Energy,2020

2. What do we learn from the price of crude oil futures?;Alquist;Journal of Applied Econometrics,2010

3. Modes decomposition method in fusion with robust random vector functional link network for crude oil price forecasting;Bisoi;Applied Soft Computing,2019

4. Neural network prediction of crude oil futures using B-splines;Butler;Energy Economics,2021

5. Evolutionary neural network model for West Texas intermediate crude oil price prediction;Chiroma;Applied Energy,2015

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2. Navigating the Dynamics of Brent Crude Oil Prices: Factors, Trends, and Insights;Acta Montanistica Slovaca;2024-07-15

3. A novel hybrid model for crude oil price forecasting based on MEEMD and Mix-KELM;Expert Systems with Applications;2024-07

4. Multi-decomposition in deep learning models for futures price prediction;Expert Systems with Applications;2024-07

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