Copper Pricing

Background

oThe price of copper is that price which is estimated based on the production of copper per annum provided other factors remain constant.

Objective

oThe objective of this study is to determine the different contributing factors that affect the Copper Pricing. oThis study will include specific data analysis that has been acquired from different resources.

Research Questions

oWhat are the factors affecting the Copper Pricing? oAre they significant enough to cause a considerable impact/change in price?

PrCu = β0 + β1log(GDP) + β2(PoCu) + β3(AlPr) + β4log(CrOPr) + β5(AgPr) + Є

where, Dependent Variable PrCu – Price of Copper Independent Variable GDP – Gross Domestic Product PoCu – Production of Copper AlPr – Price of Aluminium CrOPr – Price of Cude Oil AgPr – Price of Silver Є represents the error term

Expected signs of coefficients of the explanatory variables: β1 +ve ; β2 +ve β3 +ve ; β4 -ve β5 +ve

Dependent Variable: PRCU Method: Least Squares Date: 26/05/13 Time: 18:37 Sample: 2004 2010 Included observations: 7

Variable C LOG(GDP) POCU ALPR LOG(CROPR) AGPR Coefficient 415352.6 32113.67 17.70397 3.039892 -136740.9 223.2718 Std. Error 42500.62 16321.94 0.796060 0.045564 7558.041 4.325715 t-Statistic 9.772859 1.967516 22.23948 66.71707 -18.09210 51.61500 Prob. 0.0649 0.2994 0.0286 0.0095 0.0352 0.0123

R-squared Adjusted R-squared S.E. of regression Sum squared resid Log likelihood F-statistic Prob(F-statistic)

0.999987 0.999920 1431.940 2050452. -53.98938 15006.65 0.006197

Mean dependent var S.D. dependent var Akaike info criterion Schwarz criterion Hannan-Quinn criter. Durbin-Watson stat

395883.9 160132.3 17.13982 17.09346 16.56679 3.445643

Mean Median Maximum Minimum Std. Dev. Skewness Kurtosis Jarque-Bera Probability

AGPR ALPR 899.9337 147101.9 814.7500 155108.0 1722.090 185133.7 389.9508 100168.0 467.1106 32065.12 0.609951 -0.291143 2.373455 1.722492

CROPR GDP 4586.086 140.1373 4320.950 143.2030...