我想请教一下各位高手:在分析GARCH模型结果的时候要不要考虑模型的自相关性即DW值?也就是说,我现在所测量x1波动率能不能通过该模型的检验?具体结果如下:
Dependent Variable: X1
Method: ML - ARCH (Marquardt) - Normal distribution
Date: 08/18/09 Time: 13:12
Sample (adjusted): 1997M06 2009M05
Included observations: 144 after adjustments
Failure to improve Likelihood after 6 iterations
Variance backcast: ON
GARCH = C(3) + C(4)*RESID(-1)^2 + C(5)*GARCH(-1)
Coefficient Std. Error z-Statistic Prob.
C 1.204403 0.183720 6.555638 0.0000
X1(-6) 0.743818 0.039051 19.04743 0.0000
Variance Equation
C 0.000573 0.000162 3.547547 0.0004
RESID(-1)^2 0.950998 0.238918 3 .980431 0.0001
GARCH(-1) -0.235779 0.103348 -2.281412 0.0225
R-squared 0.549156 Mean dependent var 4.685483
Adjusted R-squared 0.536182 S.D. dependent var 0.060983
S.E. of regression 0.041532 Akaike info criterion -3.938650
Sum squared resid 0.239762 Schwarz criterion -3.835531
Log likelihood 288.5828 F-statistic 42.32765
Durbin-Watson stat 0.311124 Prob(F-statistic) 0.000000


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