Intelligent Soft Computing on Forex: Exchange Rates Forecasting with Hybrid Radial Basis Neural Network
Table 5
Unit root tests of USD/CAD.
(a)
Test
Original series [ value]
1st differences (returns) [ value]
Augmented Dickey-Fuller
(I)
−1.017396
(I)
−30.61353
[0.2781]
[0.0000]
(II)
−1.848666
(II)
−30.61866
[0.3569]
[0.0000]
(III)
−2.454401
(III)
−30.60792
[0.3510]
[0.0000]
Phillips-Perron
(I)
−1.077154
(I)
−30.66946
[0.2550]
[0.0000]
(II)
−1.794202
(II)
−30.68702
[0.3836]
[0.0000]
(III)
−2.415434
(III)
−30.67642
[0.3712]
[0.0000]
(b)
Test
Window
Spectral estimation method
Bartlett kernel
Quadratic spectral kernel
Original series
Returns
Original series
Returns
(II)
(III)
(II)
(III)
(II)
(III)
(II)
(III)
KPSS : stationary series
Newey-West
2.735123 (0.463)
0.668131 (0.146)
0.074401 (0.463)
0.026211 (0.146)
4.846899 (0.463)
1.158977 (0.146)
0.072329 (0.463)
0.025495 (0.146)
Andrews
0.380551 (0.463)
0.150720 (0.146)
0.065257 (0.463)
0.022956 (0.146)
0.306275 (0.463)
0.132197 (0.146)
0.065106 (0.463)
0.022906 (0.146)
Elliot-Rothenberg-Stock : unit root
Newey-West
30.18086 (3.26)
8.632243 (5.62)
0.358755 (3.26)
0.438046 (5.62)
29.71523 (3.26)
8.977311 (5.62)
0.352926 (3.26)
0.431096 (5.62)
Andrews
27.06265 (3.26)
8.375229 (5.62)
0.323259 (3.26)
0.394417 (5.62)
27.29972 (3.26)
8.378941 (5.62)
0.323530 (3.26)
0.394799 (5.62)
(I): model without constant and deterministic trend (5%). (II): model with constant and without deterministic trend (5%). (III): model with constant and deterministic trend (5%).