Hi there and greetings,
I wonder would you send to me the data as a text file please.
I'd like to have a peek at its contents particularly if you reckon it has
long memory
thanks and best wishes
Richard Hudson
Dr RJF Hudson Qld Australia
rjfhud(a)powerup.com.au
----- Original Message -----
From: "Riccardo (Jack) Lucchetti" <r.lucchetti(a)univpm.it>
To: "Gretl list" <gretl-users(a)lists.wfu.edu>
Sent: Thursday, March 29, 2012 4:19 PM
Subject: Re: [Gretl-users] AR-GARCH-t ML
On Thu, 29 Mar 2012, Daniel Bencik wrote:
Hello Allin,
here is the data.
Eviews:
http://eubie.sweb.cz/Allin/allrng.wf1
Gretl:
http://eubie.sweb.cz/Allin/allRng.gdt
All the best. Please let us know if you find anything.
Out of curiosity: is there any special reason why your specification has
to be an arma-garch model with t innovations? From a quick look at the
data, it would seem there are better alternatives. For example, your data
exhibit quite a few features that are typical of long-memory processes.
Just as an example of what I have in mind:
<hansl>
include gig.gfn
open
http://eubie.sweb.cz/Allin/allRng.gdt
# remove long memory
y = fracdiff(allRng, 0.5)
# set up an AR(1)-GJR model
model = gig_setup(y, 3, const, null, 1)
# with skewed-t innovations
gig_set_dist(&model, 3)
# estimate
gig_estimate(&model)
</hansl>
Riccardo (Jack) Lucchetti
Dipartimento di Economia
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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