The purpose of this study is mainly to estimate composite weight, and then compare the composite forecasting models to increase the precision of the forecast. This study applies the individual forecasting models-Econometric Model and Intervention Model; the composite forecasting models-Normal Error Model, Regression Model and Bayesian Model to proceed with forecast of wholesale prices of hogs in Taiwan by the data of Taiwan poultry quantities, price and related variables from 1990 through 2007. The empirical results have shown that the composite forecasting model performs better than individual forecasting model; on the individual forecasting models, Intervention Model is better than Econometric Model; on the composite forecasting models, Regression Model A is the best. Therefore, this implies that the result of this study could provide the price information for farmers of Hogs.