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Copper price shocks significantly affect China's PPI over the short and medium terms and the aggregate demand shock displays the most.
An accurate copper price prediction may guide commodity trading and firm profits in the copper industry.
The results reveal that, financial speculation accentuated copper price moves during the last decade.
Our results indicate that the impact of international copper price shocks on China's PPI is time-varying.
The results identify two cycles of copper prices and price forecasts in the short term.
The regression predicts a wider range of copper demand depending on the scenario.
This study, therefore, provides new insights into price determination on the LME copper market, and resolves the ambiguity of previous research regarding the efficiency of that market.
The application to the U. S. refined copper market provides estimates of structural supply and demand, rational price forecasts, and the risk of copper storage that is consistent with modern portfolio theory.
Journal ArticleDOI
Hesam Dehghani, Dejan Bogdanovic 
02 Nov 2017-Resources Policy
64 Citations
Finally, it is concluded that the determined equation with 0.132 of RMSE can predict the copper price better than the classic estimation methods.
We investigate possible policy responses to these results, concluding that improving the efficiency of the copper cycle and encouraging the development of copper-free energy distribution on the demand side, and improving copper recycling rates on the supply side are the most promising of the possible options.

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