A regression model on effective exchange rate of RMB based on Random Forest

RMB exchange rate becomes more uncertain with 2008 financial crisis. The relation between RMB exchange rate and the impact factors is worth to study. In this paper, a regression model between RMB exchange rate and the economic indicators is obtained by Random Forests (RF) method, where the economic indicators is also selected with RF. In addition, the comparison experiments between RF, support vector machine (SVM) and multiple linear regression method show that RF method achieves a better result.