A Review of Crude Oil Prices Forecasting using Hybrid Method

Crude oil is considered as a crucial energy source in modern days. Consequently, the fluctuation of crude oil prices can cause a significant impact on economic activities. Researchers have proposed many hybrid forecasting models on top of single forecasting methods which are utilized to predict crud...

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Main Authors: Md-Khair, Nurull Qurraisya Nadiyya (Author), Samsudin, Ruhaidah (Author)
Format: EJournal Article
Published: Institute of Advanced Engineering and Science, 2018-09-01.
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042 |a dc 
100 1 0 |a Md-Khair, Nurull Qurraisya Nadiyya  |e author 
100 1 0 |e contributor 
700 1 0 |a Samsudin, Ruhaidah  |e author 
245 0 0 |a A Review of Crude Oil Prices Forecasting using Hybrid Method 
260 |b Institute of Advanced Engineering and Science,   |c 2018-09-01. 
500 |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/13468 
520 |a Crude oil is considered as a crucial energy source in modern days. Consequently, the fluctuation of crude oil prices can cause a significant impact on economic activities. Researchers have proposed many hybrid forecasting models on top of single forecasting methods which are utilized to predict crude oil prices movement more accurately. Nevertheless, many limitations still existed in hybrid forecasting models and models that can predict crude oil prices as accurate as possible is required. The motivations of this review paper are to identify and assess the mostly used crude oil prices forecasting methods and to analyse their current limitations. 12 studies that used "decomposition-and-ensemble" framework was selected for review. Wavelet transform is identified as the mostly used data decomposition method while some limitations have been recognized. Future researches should include more studies to further elucidate the limitations in existing forecasting method so that subsequent forecasting methods can be improved. 
540 |a Copyright (c) 2018 Institute of Advanced Engineering and Science 
540 |a http://creativecommons.org/licenses/by-nc/4.0 
546 |a eng 
690
690 |a Hybrid forecasting method; Crude oil prices; Decomposition-and-ensemble 
655 7 |a info:eu-repo/semantics/article  |2 local 
655 7 |a info:eu-repo/semantics/publishedVersion  |2 local 
655 7 |2 local 
786 0 |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 11, No 3: September 2018; 1114-1120 
786 0 |n 2502-4760 
786 0 |n 2502-4752 
786 0 |n 10.11591/ijeecs.v11.i3 
787 0 |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/13468/9221 
856 4 1 |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/13468/9221  |z Get fulltext