Measuring the risk of the Chinese Copper futures market is the key point of the risk management. Based on the normal distribution, T-distribution and GED-distribution, this paper measures the VaR values of the risk of the copper futures by GARCH and EGARCH models. Using empirical testing, it shows the EGARCH-N model can characterize the market risk of the copper futures more precisely than other types of models.