Search found 10 matches
- Mon Oct 18, 2010 1:26 pm
- Forum: Estimation
- Topic: A problem for Multivariate Garch-mean > three variables
- Replies: 6
- Views: 5257
Re: A problem for Multivariate Garch-mean > three variables
There are several problems with your code, but the most crucial one concerns the likelihood function. Since the matrix operations are not allowed in LogL object, you need to write out the expression for the determinants, not the result itself. @det() function only gives you a fixed number, the expr...
- Mon Oct 18, 2010 12:37 pm
- Forum: Estimation
- Topic: A problem for Multivariate Garch-mean > three variables
- Replies: 6
- Views: 5257
Re: A problem for Multivariate Garch-mean > three variables
Is there a way to not use matrix in my code for logl? I cannot figure out how to do my code if I do not use loops or matrix? Thanks
- Mon Oct 18, 2010 12:36 pm
- Forum: Programming
- Topic: a programming error for matrix in logl
- Replies: 4
- Views: 4257
Re: a programming error for matrix in logl
Is there a way to not use matrix in my code for logl? I cannot figure out how to do my code if I do not use loops or matrix? Thanks
- Mon Oct 18, 2010 9:39 am
- Forum: Programming
- Topic: a programming error for matrix in logl
- Replies: 4
- Views: 4257
Re: a programming error for matrix in logl
Is there any way to work out this matrix loop? something like writing a function or subroutine, then call the subroutine from logl.............
- Mon Oct 18, 2010 9:37 am
- Forum: Estimation
- Topic: A problem for Multivariate Garch-mean > three variables
- Replies: 6
- Views: 5257
Re: A problem for Multivariate Garch-mean > three variables
Thanks trubador. Now I know Matrix cannot be used in logl.
However, for higher dimensional GARCH, to write out expression for determinants is really tedious. Is there any way to work this out? something like writing a function or subroutine, then call the subroutine from logl.............
However, for higher dimensional GARCH, to write out expression for determinants is really tedious. Is there any way to work this out? something like writing a function or subroutine, then call the subroutine from logl.............
- Sun Oct 17, 2010 9:53 am
- Forum: Estimation
- Topic: A problem for Multivariate Garch-mean > three variables
- Replies: 6
- Views: 5257
Re: A problem for Multivariate Garch-mean > three variables
sorry, I forgot to say I only add one variance (var_y1) into this 7 variable GARCH-mean model as a test purpose.
- Sun Oct 17, 2010 9:50 am
- Forum: Estimation
- Topic: A problem for Multivariate Garch-mean > three variables
- Replies: 6
- Views: 5257
A problem for Multivariate Garch-mean > three variables
Dear I have seen the discussion in the following link for programming Multivariate GARCH-mean model. http://forums.eviews.com/viewtopic.php?f=4&t=273#p971 However, the discussion is about bi/trivariate GARCH. In these cases, we could spread out the var-covariance matrix to compute the matrix det...
- Sun Oct 17, 2010 9:12 am
- Forum: Programming
- Topic: a programming error for matrix in logl
- Replies: 4
- Views: 4257
a programming error for matrix in logl
Dear there Recently I am trying to programming a Kalman filter in Eviews 6.0. In this programming, I use matrix and vector operation in logl for likelihood function. However, when I am running it, it always report some errors regarding the matrix and vector as in the following picture. I am wonderin...
- Tue Mar 16, 2010 7:10 pm
- Forum: Estimation
- Topic: Regime Switching Model Estimation in Eviews 7
- Replies: 3
- Views: 4755
Re: Regime Switching Model Estimation in Eviews 7
Could we program the regime switching model in Eviews 7? If yes, is there any sample code?
thanks
thanks
- Mon Mar 15, 2010 7:15 pm
- Forum: Estimation
- Topic: Regime Switching Model Estimation in Eviews 7
- Replies: 3
- Views: 4755
Regime Switching Model Estimation in Eviews 7
Dear
I am wondering if the new version of Eviews 7 could run Regime switching regression.
Thanks
Martin
I am wondering if the new version of Eviews 7 could run Regime switching regression.
Thanks
Martin
