Forecasting of China Consumer Price Index Based on EEMD and SVR Method

Abstract

This paper proposes a method of using ensemble empirical mode decomposition (EEMD) method for Chinese consumer price index. We analysis the periodicity and volatility of the Intrinsic Mode Function (IMF), they reveal the fluctuation information of Chinese consumer price index at different scales and prove the rationality and effectiveness of the ensemble empirical mode decomposition method. We use a hybrid EEMD and Support Vector Regression (SVR) model to forecast Chinese consumer price index. The hybrid method has higher precision. It can support certain reference value to the economic development strategy.