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Gray GARCH example question (split from MSVAR topic)

Posted: Sat Jan 09, 2010 3:25 pm
by GUESMI2010
Hi Tom,
until the new version of RATS, I applied the paper GARY 1996, I found the results with the database of gray, but with my database I found difficult.
I send you my database and the program GRAY .
THANK YOU VERY MUCH

Re: MSVARSetup - Markov switching support procedures

Posted: Sat Jan 09, 2010 3:46 pm
by GUESMI2010
Here is the program and I thank you in advance.

Re: MSVARSetup - Markov switching support procedures

Posted: Mon Jan 11, 2010 9:12 am
by TomDoan
You posted the program for the original data set; not yours. That won't help us.

However, it's not surprising that you're having problems with the Gray model. It does not have a very well-behaved "likelihood function" as you can tell from the comments in our post. There are likely multiple modes with similar likelihood values but very different sets of parameters. I put likelihood function in quotes since it isn't the true likelihood. In order to avoid problems with path-dependence, it simplifies the lagged variance at each step. I don't know whether the source of the messy likelihood surface is that simplification, or whether it's the general problem of multiple modes shared by many switching models.

Re: MSVARSetup - Markov switching support procedures

Posted: Mon Jan 11, 2010 10:38 am
by GUESMI2010
I thank you for the information and here is my base.
thank you very much.

Re: MSVARSetup - Markov switching support procedures

Posted: Mon Jan 11, 2010 1:04 pm
by TomDoan
That's your data set again. You said that you weren't able to get it to work with your data set. We need to see the program that didn't work correctly.

Re: MSVARSetup - Markov switching support procedures

Posted: Tue Jan 12, 2010 5:07 pm
by GUESMI2010
Hi TOM,
Here is my program, the problem is that I can not leave the graph probabilities.
Best regards

Re: MSVARSetup - Markov switching support procedures

Posted: Wed Jan 13, 2010 10:10 am
by TomDoan
It looks as if one state is probably fine which would explain the difficulty in getting a two state model to fit.