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How do u interpret this result??Plz let me know asap!

Dependent Variable: STOCKRET
Method: ML - ARCH (Marquardt) - Normal distribution
Date: 03/16/12 Time: 14:21
Sample: 1 263
Included observations: 263
Failure to improve Likelihood after 54 iterations
Presample variance: backcast (parameter = 0.7)
GARCH = C(4) + C(5)*RESID(-1)^2 + C(6)*GARCH(-1)


Coefficient Std. Error z-Statistic Prob.


FX_ab -11615.87 677.9465 -17.13391 0.0000
DR_cd -346.2585 12.52274 -27.65037 0.0000
C 13116.92 456.9621 28.70462 0.0000


Variance Equation


C 208883.7 65232.49 3.202142 0.0014
RESID(-1)^2 1.248536 0.324457 3.848078 0.0001
GARCH(-1) -0.423042 0.114009 -3.710589 0.0002


R-squared 0.178363 Mean dependent var 4582.827
Adjusted R-squared 0.162378 S.D. dependent var 1341.754
S.E. of regression 1227.996 Akaike info criterion 16.01994
Sum squared resid 3.88E+08 Schwarz criterion 16.10143
Log likelihood -2100.622 Hannan-Quinn criter. 16.05269
F-statistic 11.15803 Durbin-Watson stat 0.042817
Prob(F-statistic) 0.000000

Hello

Even I am getting the same message: failure to improve likelihood after ... iterations. Why is it so?

At what value is your convergence tolerance set? What do the gradients of the equation look like at this value. There is a discussion of these issues in the manual.