Forecasting the WTI crude oil price by a hybrid-refined method-Reference-Cited by-同舟云学术

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Forecasting the WTI crude oil price by a hybrid-refined method

Published:2018-03 Issue: Volume:71 Page:114-127
ISSN:0140-9883
Container-title:Energy Economics
language:en
Short-container-title:Energy Economics

Author:

Chai Jian,Xing Li-Min,Zhou Xiao-Yang,Zhang Zhe George,Li Jie-Xun

Funder

National Science Foundation of China

Young Star of Science and Technology Plan Project of China's Shaanxi Province

Xidian University

Publisher

Elsevier BV

Subject

General Energy,Economics and Econometrics

Reference69 articles.

1. Daily crude oil price forecasting model using ARIMA, generalized autoregressive conditional heteroscedastic and support vector machines;Ahmed;Am. J. Appl. Sci.,2014

2. Forecasting the conditional volatility of oil spot and futures prices with structural breaks and long memory models;Arouri;Energy Econ.,2012

3. A flexible neural network-fuzzy mathematical programming algorithm for improvement of oil price estimation and forecasting;Azadeh;Comput. Ind. Eng.,2012

4. An integrated model using wavelet decomposition and least squares support vector machines for monthly crude oil prices forecasting;Bao;New Math. Nat. Comput.,2011

5. Product partition models for change point problems;Barry;Ann. Stat.,1992

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