Dependent Variable: Y

Method: ML - ARCH (Marquardt) - Normal distribution

Date: 06/21/05 Time: 15:28

Sample (adjusted): 12/02/2004 6/17/2005

Included observations: 198 after adjustments

Convergence achieved after 60 iterations

Variance backcast: ON

GARCH = C(1) + C(2)*RESID(-1)^2 + C(3)*GARCH(-1)

Coefficient

Std. Error

z-Statistic

Prob.

Variance Equation

C

5.48E-05

3.87E-05

1.416212

0.1567

RESID(-1)^2

0.265673

0.117766

2.255936

0.0241

GARCH(-1)

0.602249

0.198750

3.030189

0.0024

R-squared

-0.002796

Mean dependent var

-0.000863

Adjusted R-squared

-0.013081

S.D. dependent var

0.016365

S.E. of regression

0.016472

Akaike info criterion

-5.400567

Sum squared resid

0.052908

Schwarz criterion

-5.350745

Log likelihood

537.6562

Durbin-Watson stat

2.074222