On Wed, 25 Feb 2015, kaffel bilel wrote:
 Dear Professor Lucchetti,Hello,I hope that I am notdisturbing you
 I am Bilel Kaffel. 
[...]
 My problem is: I want to know how can I estimate the parameters of an
 ARMA model with Garch errors in Gretl?. For exemple : ARMA(1,2) model 
 with Garch(1,1) errors. The parameters will need to be estimate 
 simultaneously. Please Professor: can you help me? 
Two things:
(1) I strongly advise you to subscribe to the gretl user list and ask 
these questions there: not only you have a much better chance of receiving 
an answer in a short time, you will also benefit the gretl community 
because your question (and the subsequent answers) will be archived and 
made public (and, most importantly, googleable). For this reason, I'm 
replying to you with the user mailing list in cc. You can browse the 
archives here:
http://lists.wfu.edu/pipermail/gretl-users/
(2) Here is a sample script that estimates an arma(1,1) + garch(1,1). I'm 
sure that by studying this example together with the gretl manuals you'll 
find it quite easy to generalise it to the case of your interest:
<hansl>
set echo off
set messages off
function series arma_garch_flt(series y, matrix param, scalar p, scalar q)
     scalar m = param[1]
     matrix arpar = param[2:p+1]
     matrix mapar = param[p+2:p+q+1]
     scalar c = param[p+q+2]
     scalar a = param[p+q+3]
     scalar b = param[p+q+4]
     series ret = NA
     # --- checks
     # stationarity
     matrix roots = polroots(1 | -arpar)
     check = minc(abs(sumr(roots.^2))) > 1
     # invertibility
     matrix roots = polroots(1 | mapar)
     check = check && minc(abs(sumr(roots.^2))) > 1
     # garch param
     check = check && (c>0) && (a > 0) && (b>=0)
&& (a+b<1)
     if check
         scalar hlag = c/(1-a-b)
         series ret = -0.5*ln(2*$pi) # the loglikelihood
         series e = filter(y - m, 1 | -arpar, -mapar, m)
         series e2 = e^2
         scalar h_unc = c/(1-a-b)
         series e2lag = ok(e(-1)) ? e(-1)^2 : h_unc
         series h = filter(c + a*e2lag, 1, b)
         series ret = -0.5*(2*$pi) - 0.5*ln(h) - 0.5*e2/h
     endif
     return ret
end function
# ------------------------------------------------------------------------
open djclose.gdt --quiet
series r = 100 * ldiff(djclose)
arima 1 1 ; r
armapar = $coeff
garch 1 1 ; r
garchpar = $coeff[2:]
param = armapar | garchpar
mle ll = arma_garch_flt(r, param, 1, 1)
     params param
end mle -v
</hansl>
-------------------------------------------------------
   Riccardo (Jack) Lucchetti
   Dipartimento di Scienze Economiche e Sociali (DiSES)
   Università Politecnica delle Marche
   (formerly known as Università di Ancona)
   r.lucchetti(a)univpm.it
   
http://www2.econ.univpm.it/servizi/hpp/lucchetti
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