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

Conference Name:2nd International Conference on E-Business and E-Government, ICEE 2011. Conference Address: Shanghai, China. Time:May 6, 2011 - May 8, 2011.Shanghai University; Shanghai Business School; Nanjing University of Information Science and Technology; Shanghai Institute of Foreign TradeRMB 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. ? 2011 IEEE