DCCGARCH11
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DCCGARCH11
This thread is about dccgarch11 add-in.
The add-in allows you to build and estimate Dynamic Conditional Correlation models, which are the more flexible and parameterized class of Multivariate GARCH-family. It is written/designed with primarily educational purposes in mind and therefore some limitations are imposed to ease the estimation and maintain the user-friendliness of the GUI as well:
i) Second or higher order specifications are not allowed.
ii) Estimation is carried out in two-step.
iii) At most 5 series are allowed.
Please read the documentation for further instructions.
Edit: EViews had made a significant overhaul to its optimization engine starting from version 9, which resulted in messy outputs of the add-in thereafter. Please update your copy with the newest version of the add-in.
The add-in allows you to build and estimate Dynamic Conditional Correlation models, which are the more flexible and parameterized class of Multivariate GARCH-family. It is written/designed with primarily educational purposes in mind and therefore some limitations are imposed to ease the estimation and maintain the user-friendliness of the GUI as well:
i) Second or higher order specifications are not allowed.
ii) Estimation is carried out in two-step.
iii) At most 5 series are allowed.
Please read the documentation for further instructions.
Edit: EViews had made a significant overhaul to its optimization engine starting from version 9, which resulted in messy outputs of the add-in thereafter. Please update your copy with the newest version of the add-in.
Last edited by trubador on Thu Jan 04, 2024 6:12 am, edited 1 time in total.
Re: DCCGARCH11
very useful Add-in . thanks a lot.
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Re: DCCGARCH11
is the documentation available?
This thread is about dccgarch11 add-in.
The add-in allows you to build and estimate Dynamic Conditional Correlation models, which are the more flexible and parameterized class of Multivariate GARCH-family. It is written/designed with primarily educational purposes in mind and therefore some limitations are imposed to ease the estimation and maintain the user-friendliness of the GUI as well:
i) Second or higher order specifications are not allowed.
ii) Estimation is carried out in two-step.
iii) At most 5 series are allowed.
Please read the documentation for further instructions.
Re: DCCGARCH11
Assuming you have already installed the add-in, the documentation is available from the Manage Add-ins menu.
Re: DCCGARCH11
Hi, I am new to eviews. I would need to simultaneously estimate a VEC and a bivariate DCC-GARCH, I have try to use the add-in for dcc-garch but I cannot get it to work, also I would need the VEC output in line with the dcc output. would I have to right the program myself or is there is any other way?
Re: DCCGARCH11
Dear trubador
Does this need Eviews 8 or higher to go with?
Thanks.
Does this need Eviews 8 or higher to go with?
Thanks.
Re: DCCGARCH11
Yes, you need EViews version 8 or higher.
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Re: DCCGARCH11
Dear Trabadur, thanks for this add-in, is there any specific reason that only 5 variables are allowed?Yes, you need EViews version 8 or higher.
Re: DCCGARCH11
Have you read the documentation that comes with the add-in?
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Re: DCCGARCH11
[quote="trubador"]Have you read the documentation that comes with the add-in?[/quo
Unfortunately I cant open it, it keep sending me error!
Unfortunately I cant open it, it keep sending me error!
Re: DCCGARCH11
PDF document should be stored here: C:\Users\...\Documents\EViews Addins\dccgarch11\dccgarch11.pdf
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- Posts: 39
- Joined: Thu Apr 24, 2014 3:51 am
Re: DCCGARCH11
Thank you very muchPDF document should be stored here: C:\Users\...\Documents\EViews Addins\dccgarch11\dccgarch11.pdf
Re: DCCGARCH11
Before estimating a DCC-GARCH(1,1) model, time series have to be filtered to assure zero expected (mean) value of the time series. Usually, a bivariate Vector Autoregressive (VAR) model used to initially remove potential linear structure, then the residuals of the VAR model are used as inputs for the DCCGARCH model.
Is this procedure involved in the add-in or do I need to do this separately and give residuals as input to the add-in?
Is this procedure involved in the add-in or do I need to do this separately and give residuals as input to the add-in?
Re: DCCGARCH11
After running the add-in, how do I get graphical plot of DCC GARCH conditional correlation ( say on y-axis) with time (say on x-axis) between two series?
Re: DCCGARCH11
If your questions are regarding the general use of the add-in, just post them under the relevant thread in this forum. Please do not send private e-mail messages (especially not to my office account).
The add-in only allows univariate AR-X models for mean equations. VAR model needs to be specified at the outset.Before estimating a DCC-GARCH(1,1) model, time series have to be filtered to assure zero expected (mean) value of the time series. Usually, a bivariate Vector Autoregressive (VAR) model used to initially remove potential linear structure, then the residuals of the VAR model are used as inputs for the DCCGARCH model.Is this procedure involved in the add-in or do I need to do this separately and give residuals as input to the add-in?
If you select "Save dynamic correlations" option, then you can plot either rho_??_?? for the series of interest or rhos?? for all correlations post estimation. For instance, for a two-variable model it would be:After running the add-in, how do I get graphical plot of DCC GARCH conditional correlation ( say on y-axis) with time (say on x-axis) between two series?
Code: Select all
line rho_12_01
line rhos01
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