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Abstract
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Article Information:
A Hybrid Neural Network Method for Detecting Structural Change in Oil-Bioenergy Crops Prices System
Yu Zhao, Yu Zhang and Hong Xu
Corresponding Author: Yu Zhao
Submitted: March 23, 2012
Accepted: April 08, 2012
Published: September 15, 2012 |
Abstract:
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The present study detects the structural change in oil-bioenergy crops prices system before and
during the food crisis of 2007/2008 and financial crisis 2008/2010. In the recent years, rising world crude oil
prices lead to increase of bioenergy production around the world. Bioenergy, in turn, affects bioenergy crops
price, because it uses these commodities as inputs. We develop a hybrid neural network approach which can
test the structural change of the linkages without priori knowledge of the input data distribution. And then we
studies price linkages applying the hybrid neural network to two major bioenergy crops prices, including
Argentina corn and Brazil soybean, along with two major crude oil price, including West Texas and Brant crude
oil. The data consists of 1467 observations from January 2006 to November 2011. The empirical findings
confirm that the structures of oil-bioenergy crops prices system change observably during the food crisis and
the financial crisis.
Key words: Bioenergy crops, crude oil, economic system, hybrid neural network, prices, structural change,
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Cite this Reference:
Yu Zhao, Yu Zhang and Hong Xu, . A Hybrid Neural Network Method for Detecting Structural Change in Oil-Bioenergy Crops Prices System. Research Journal of Applied Sciences, Engineering and Technology, (18): 3363-3367.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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