Research Article

Forecasting RMB Exchange Rate Based on a Nonlinear Combination Model of ARFIMA, SVM, and BPNN

Table 4

The RMB/USD forecasting results using ARIMA, ARFIMA, SVM, BPNN, EWL, ARIMA-SVM, ARIMA-ANN, ARFIMA-SVM, ARFIMA-ANN, NCM-r, and NCM-f.

ā€‰MAERMSEMAPE (%)

ARIMA3.37934.14990.5516
ARFIMA2.49943.13570.4079
SVM2.43242.96540.3970
BPNN2.29712.92680.3751
EWL2.01062.81670.3280
ARIMA-SVM2.23112.81010.3641
ARIMA-ANN1.98732.63420.3243
ARFIMA-SVM1.87242.52800.3055
ARFIMA-ANN0.84421.02540.1379
NCM-r0.39100.49870.0639
NCM-f0.28490.34690.0466