Dependent Variable: Y1
Method: ML - ARCH (Marquardt) - Normal distribution
Date: 04/03/13 Time: 16:12
Sample: 1 710
Included observations: 710
Convergence achieved after 63 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.
C 0.009088 0.002116 4.294638 0.0000
Variance Equation
C 0.001084 0.000297 3.644396 0.0003
RESID(-1)^2 0.423576 0.036617 11.56775 0.0000
GARCH(-1) 0.406470 0.098978 4.106690 0.0000
R-squared -0.001415 Mean dependent var 0.006914
Adjusted R-squared -0.005670 S.D. dependent var 0.057818
S.E. of regression 0.057981 Akaike info criterion -2.892913
Sum squared resid 2.373458 Schwarz criterion -2.867194
Log likelihood 1030.984 Hannan-Quinn criter. -2.882978
Durbin-Watson stat 1.981387