A Comparative Statistical Study of ARIMA and ANN Modelsto Forecast Global Copper Prices During (1990 -2018)

Abstract

The research talk over the use Autoregressive Integrated Moving Average (ARIMA) and the artificial neural networks (ANN).based on the data of the monthly time series for Global copper from Jan 1990 until Dec 2018.  Through comparing ARIMA Model with ANN Model using evaluation criteria (RMSE, MAE),This research conducts the model ANN it is the most appropriate model to forecast the prices of Global sugar because it has the lowest value of accuracy forecasting. Based on this model, The prices of Global copper were predicted until the end of Dec 2019. As a result, the predicted values were consistent with the real values of the series showing the efficiency of the model