Modeling and Forecasting Volatility in Copper Price Returns with GARCH Models
This thesis offers a study on how well the standard GARCH(1,1) model, the GJR-GARCH(1,1) model and the QGARCH(1,1) model, were able to model (in-sample) and forecast (out-of-sample) the volatility of copper spot price returns in four equally large subsamples within the period July 21, 1993 to 22 Mars, 2012. The results shows that the GARCH models' ability to model the conditional variance (in-
