Research Article
Chinese Currency Exchange Rates Forecasting with EMD-Based Neural Network
Table 8
NMSE comparisons for CNY and CNH.
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Consider both the CNY and CNH from January 3, 2011, to December 21, 2015, with a total of 1304 observations. This table compares the forecasting performance, in terms of the NMSE, for several forecasting models. We report the NMSE as percentage for l-day ahead predictions where and 30. The DM test [38] is used to compare the forecast accuracy of EMD-MLP (EMD-MLP) model and the corresponding MLP model. , , and denote statistical significance at 1%, 5%, and 10%, respectively. For each length of prediction, we mark the minimum NMSE as bold. |