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Dependent Variable: LSZ
Method: ML - ARCH (Marquardt) - Normal distribution
Date: 08/17/12 Time: 13:33
Sample (adjusted): 2002 3349
Included observations: 1348 after adjustments
Convergence achieved after 12 iterations
Presample variance: backcast (parameter = 0.7)
GARCH = C(2) + C(3)*RESID(-1)^2 + C(4)*GARCH(-1)
Coefficient Std. Error z-Statistic Prob.
LSZ(-1) 1.000040 4.53E-05 22072.58 0.0000
Variance Equation
C 4.70E-06 1.42E-06 3.321033 0.0009
RESID(-1)^2 0.087675 0.011572 7.576142 0.0000
GARCH(-1) 0.894693 0.014157 63.19821 0.0000
R-squared 0.997772 Mean dependent var 7.369997
Adjusted R-squared 0.997767 S.D. dependent var 0.318533
S.E. of regression 0.015053 Akaike info criterion -5.702417
Sum squared resid 0.304533 Schwarz criterion -5.686968
Log likelihood 3847.429 Hannan-Quinn criter. -5.696631
Durbin-Watson stat 1.978264
在这个结果上方有proc,点下面的make GARCH variance series 就OK啦
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