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The Scientific World Journal
Volume 2014, Article ID 341734, 10 pages
http://dx.doi.org/10.1155/2014/341734
Research Article

Day-Ahead Crude Oil Price Forecasting Using a Novel Morphological Component Analysis Based Model

1School of Economics and Finance, Xi’an Jiaotong University, Xi’an 710049, China
2International Business School, Shaanxi Normal University, Xi’an 710062, China
3School of Economics and Management, Beijing University of Chemical Technology, Beijing 100029, China
4College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China
5Department of Management Sciences, City University of Hong Kong, Tat Chee Avenue, Kowloon Tong, Kowloon, Hong Kong

Received 12 March 2014; Accepted 2 June 2014; Published 25 June 2014

Academic Editor: Chi-Jie Lu

Copyright © 2014 Qing Zhu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Qing Zhu, Kaijian He, Yingchao Zou, and Kin Keung Lai, “Day-Ahead Crude Oil Price Forecasting Using a Novel Morphological Component Analysis Based Model,” The Scientific World Journal, vol. 2014, Article ID 341734, 10 pages, 2014. https://doi.org/10.1155/2014/341734.