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- W2074173695 abstract "This paper examines the forecasting performance of ARIMA and two different kinds of artificial neural networks models (multilayer perceptron and Elman) using published data of copper spot prices from the New York Commodity Exchange, (COMEX). The empirical results obtained showed a better performance of both neural networks models over the ARIMA. The findings of this research are in line with some previous studies, which confirmed the superiority of neural networks over ARIMA models in relative research areas." @default.
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- W2074173695 date "2015-09-01" @default.
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- W2074173695 title "Forecasting the COMEX copper spot price by means of neural networks and ARIMA models" @default.
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- W2074173695 doi "https://doi.org/10.1016/j.resourpol.2015.03.004" @default.
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