Research Article

Research on the Influence of Volatility of International Energy Commodity Futures Market on CPI in China

Table 7

The goodness of fit and prediction accuracy of RJ/CRB, NH, and coal.

Weight functionThe goodness of fit and prediction accuracy
Lag = 13Lag = 22Lag = 23Lag = 24Lag = 37

MSFER20.83280.82530.82060.82150.8333
RMSE0.54280.52700.54030.56110.5543
MSFE0.29460.27770.29200.31480.3073

DMSFER20.83180.82560.82210.82480.8312
RMSE0.54720.54390.55480.56950.5549
MSFE0.29940.29580.30780.32440.3079

AICR20.77910.78070.76950.76850.7398
RMSE0.57160.51840.53100.52970.5658
MSFE0.32670.26870.28200.28050.3202

BICR20.77910.84630.84620.84640.7398
RMSE0.57160.69540.69790.69410.5658
MSFE0.32670.48360.48700.48180.3202

Equal weightR20.83390.83080.82610.82780.8383
RMSE0.55340.55140.56320.57990.5617
MSFE0.30620.30400.31720.33630.3155