Predictive analytics of the copper spot price by utilizing complex network and artificial neural network techniques

The copper prices in international trade markets are volatile. An accurate copper price prediction may guide commodity trading and firm profits in the copper industry. In this paper, a hybrid predictive technique combining complex network and traditional artificial neural network (ANN) techniques is...

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Bibliographic Details
Main Authors:	Ghadimi, P. (Author), Lim, M.K (Author), Wang, C. (Author), Wang, M. (Author), Zhang, X. (Author)
Format:	Article
Language:	English
Published:	Elsevier Ltd 2019
Subjects:	artificial neural network Artificial neural network Commodity exchange commodity price Complex network Complex networks copper Copper price forecasting Copper prices Costs Directional predictions Electronic trading empirical analysis Financial markets Forecasting Forecasting performance International trade Neural networks New York [United States] New York commodity exchange (COMEX) Nonlinear pattern Predictive analytics Predictive techniques price determination Price volatility Price volatility network time series analysis Topological structure topology United States
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View Fulltext in Publisher

Predictive analytics of the copper spot price by utilizing complex network and artificial neural network techniques

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