Hello,
I am working now with time series and I found your script which was very
useful for me:
<script>
open b-g.gdt
garch 1 1 ; Y
series e = $uhat
series h = $h
dataset addobs 10
a0 = $coeff[2]
a1 = $coeff[3]
b1 = $coeff[4]
series hfc = h
# set future errors to their expectation
e = misszero(e)
# forecast the variance
hfc = a0 + a1 * e(-1)^2 + b1 * hfc(-1)
smpl 1970 ;
print e h hfc --byobs
</script>
I have question if it is possible in gretl to prepare similar prediction
with one regressant in variance equation for normal,t and GED
distributions. Moreover I would like to ask if the same procedure is
possible for GJR model. I will be very gratefull for any suggestion from
you.
Best regards,
Tomasz Bielawski