Am 17.01.2019 um 16:54 schrieb Olasehinde Timmy:
 Dear Professors,
 
 I will like to know how to compute a dynamic forecast from maximum 
 likelihood estimation. For example, If I estimated a ad-hoc GARCH model 
 as follows
 
 series e=inf - beta1-beta2*inf(-1)
 series h=var(e)
 series h=alpha+theta*e(-1)^n
 
 So how would I forecast dynamically variable "inf" and "h". I would 
 appreciate if you can share a loop code for this. 
Hi,
the part about the levels (first moments) is easy. As long as you don't 
have an ARCH-in-mean model or something like that your mean equation is 
unaffected. So you have an AR(1) here and you can use gretl's standard 
tools ('ols' and 'fcast' basically) to get your forecasts.
About forecasting the conditional variance, I'd suggest to take a look 
at the "gig" addon (Garch in gretl) and section 3.5 in its help doc.
good luck,
sven