On Fri, Jun 30, 2017 at 6:17 PM, Allin Cottrell <cottrell(a)wfu.edu> wrote:
On Fri, 30 Jun 2017, Periklis Gogas wrote:
Dear hello,
>
> I run an AR(10)-GARCH(2,2) model just for an example using the included
> data file djclose.gdt
> I run the following:
>
> *Model 1:*
> Model>Time Series>GARCH Variants and got this:
> [image: Inline image 1]
>
> *Model 2:*
> Model>Time Series>GARCH and got this:
> [image: Inline image 2]
>
> Why do I get so different results on the same data and model? The
> results are very different in both the mean equation and the GARCH
> part. They are both an AR(10)-GARCH(2,2) in the logs.
>
I wouldn't say the results are very different: they're qualitatively
similar and both sets suggest an over-parameterized/misspecified model.
First of all thank you very much for the response!
I selected these models jut to show this difference they were not the
product of any model selection procedure.
Gig finds a slightly higher log-likelihood;
What is "gig"?
the built-in garch command warns that the norm of the gradient at
"convergence" is too big.
Where can I see this?
Apparently there is not a well-defined MLE.
Allin Cottrell
Thank you very much and sorry for the possibly stupid questions.
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