Dependent Variable: H
Method: ML - ARCH (Marquardt) - Generalized error distribution (GED)
Date: 01/31/09 Time: 16:26
Sample (adjusted): 8 1229
Included observations: 1222 after adjustments
Convergence achieved after 20 iterations
Variance backcast: ON
LOG(GARCH) = C(3) + C(4)*ABS(RESID(-1)/@SQRT(GARCH(-1))) +
C(5)*RESID(-1)/@SQRT(GARCH(-1)) + C(6)*LOG(GARCH(-1))
Coefficient Std. Error z-Statistic Prob.
C 0.001111 0.000469 2.370233 0.0178
H(-7) 0.041243 0.028300 1.457376 0.1450
Variance Equation
C(3) -0.350286 0.070880 -4.941936 0.0000
C(4) 0.239160 0.036389 6.572230 0.0000
C(5) -0.058243 0.021691 -2.685130 0.0073
C(6) 0.978598 0.007443 131.4795 0.0000
GED PARAMETER 1.475420 0.092540 15.94357 0.0000
R-squared 0.002154 Mean dependent var 0.000300
Adjusted R-squared -0.002773 S.D. dependent var 0.025891
S.E. of regression 0.025927 Akaike info criterion -4.938938
Sum squared resid 0.816746 Schwarz criterion -4.909676
Log likelihood 3024.691 F-statistic 0.437184
Durbin-Watson stat 2.058119 Prob(F-statistic) 0.854272
Dependent Variable: H
Method: ML - ARCH (Marquardt) - Student's t distribution
Date: 01/31/09 Time: 12:20
Sample (adjusted): 8 1229
Included observations: 1222 after adjustments
Convergence not achieved after 500 iterations
Variance backcast: ON
GARCH = C(3) + C(4)*RESID(-1)^2 + C(5)*GARCH(-1)
Coefficient Std. Error z-Statistic Prob.
C 0.001345 0.000483 2.782718 0.0054
H(-7) 0.026314 0.029853 0.881438 0.3781
Variance Equation
C 4.93E-06 2.22E-06 2.219181 0.0265
RESID(-1)^2 0.110477 0.018430 5.994508 0.0000
GARCH(-1) 0.886139 0.017629 50.26655 0.0000
T-DIST. DOF 9.362738 2.809602 3.332407 0.0009
R-squared 0.000758 Mean dependent var 0.000300
Adjusted R-squared -0.003351 S.D. dependent var 0.025891
S.E. of regression 0.025935 Akaike info criterion -4.930435
Sum squared resid 0.817889 Schwarz criterion -4.905353
Log likelihood 3018.496 F-statistic 0.184463
Durbin-Watson stat 2.057526 Prob(F-statistic) 0.968527
上文中红色的部分就是GED分布和T分布下的自由度参数吧。
呵呵,上面结果是我做论文时候分析出来的结果。
欢迎交流 我的QQ 353655061