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Re: Dynamic conditional correlation multivariate GARCH

Posted: Wed Sep 23, 2015 5:19 am
by Abdelrazzaq
Dear all;

I am trying to use the written code as available here, in my analysis and I am having an error.

Please see attached workfile, code and error message and advice.

best
Abdelrazzaq

Re: Dynamic conditional correlation multivariate GARCH

Posted: Wed Oct 28, 2015 9:41 pm
by ANASEER
i need help on DCC MGARCH in eviews 8.
how can i apply this technique on my data, comprising of 10 variables?
thank you in anticipation

Re: Dynamic conditional correlation multivariate GARCH

Posted: Fri Oct 30, 2015 5:30 am
by trubador
ANASEER wrote:i need help on DCC MGARCH in eviews 8.how can i apply this technique on my data, comprising of 10 variables?thank you in anticipation

Unfortunately, there is no easy way to apply it to a system of 10 variables. You can use dccgarch11 add-in for at most 5 variables. I really do not think that it is too restrictive in practice, since expecting multivariate system to have a common correlation structure may become unrealistic as the system gets larger.

Re: Dynamic conditional correlation multivariate GARCH

Posted: Sun Nov 01, 2015 5:26 pm
by demoisellesalma
hiii :) please I need help
I've estimated a DCC-GARCH (1,1) to residuals obtained from the adequate ARMA(p,q)applied to my series of stock . I've got results and everything seems to be ok untill checking the equation of univariate GARCH outcome from the DCC . in fact, for all my results the R_squared are negative !!! what should I do please

Re: Dynamic conditional correlation multivariate GARCH

Posted: Sun Nov 01, 2015 11:47 pm
by trubador
demoisellesalma wrote:hiii :) please I need help
I've estimated a DCC-GARCH (1,1) to residuals obtained from the adequate ARMA(p,q)applied to my series of stock . I've got results and everything seems to be ok untill checking the equation of univariate GARCH outcome from the DCC . in fact, for all my results the R_squared are negative !!! what should I do please


viewtopic.php?f=18&t=8434

Re: Dynamic conditional correlation multivariate GARCH

Posted: Mon Nov 02, 2015 5:06 am
by demoisellesalma
thank u @trubador for your quick reply

Re: Dynamic conditional correlation multivariate GARCH

Posted: Tue Mar 29, 2016 1:13 pm
by juniorgc4
Hi.
Could anybody help me wtih this question: I am using DCC GARCH, but I see on the third box it says AR lags, it means that mean equation just have autorregresive component? It does not use ARIMA models?. If I can use ARIMA models with DCC GARCH add-in how can I do it.
I really appreciate your help.

Best regards.

Re: Dynamic conditional correlation multivariate GARCH

Posted: Tue Mar 29, 2016 2:16 pm
by trubador
Unfortunately, the add-in does not take into account MA specification for the mean equation. Some of the MA effects can be mitigated by the GARCH specification, but that really depends on the data. So, I suggest you to try modeling with the available options and then test the results further to see if there is any remaining MA behavior. Or, you can always build your own model from scratch.

Re: Dynamic conditional correlation multivariate GARCH

Posted: Tue Jul 26, 2016 3:49 pm
by ecko33
Dear members, after i used dcc garch code as provided, my theta (t1) is negative and p-value is more than 0.05. I think there was something wrong. Could you guys guide me how to deal with it. Thank you so much.

Re: Dynamic conditional correlation multivariate GARCH

Posted: Fri Aug 19, 2016 10:14 am
by Dimitra
ruhee.mittal wrote:i am not able to get answers with this code.
is this code incomplete??
please help.


For me the code gave me the error that my data lose observations. Just when you write the period on the code, remember to start from a day later.
example: if my sample is 08/16/2003 to 08/16/2005, in the code I will write 08/17/2003 08/16/2005.
Please note that after you run the code and you get the graph, you should re-adjust your sample period on the eviews workfile to the "@all", because after you run the program the sample changes automatically!

Negative Coefficients - DCC GARCH Model

Posted: Sat Sep 24, 2016 4:42 am
by deemer
Hi,

I am currently doing a thesis in relation to dynamic correlation between oil returns and stock market indices returns. However, when using the DCC-GARCH model I am getting negative T(1) coefficients. For some indices T(1) is being negative with a p-value < 0.1 and for some other indices the p-value > 0.1. Although I tried different starting values, I am still getting negative coefficients.

Both the DCC code and eviews workfiles are being attached.

Would be very grateful for your help. Thank you !

Re: Dynamic conditional correlation multivariate GARCH

Posted: Fri Nov 04, 2016 12:50 pm
by alphaomega
Hi,

It is not abundantly clear if the DCC-GARCH add-in uses the corrected form the model (as presented in Aelli (2013) - Dynamic Conditional Correlation: On Properties and Estimation.) Can you confirm if the DCC-GARCH add-in uses the corrected cDCC-GARCH? If not, are there any plans to update the add-in to implement the consistent procedure?

Thanks!

Re: Dynamic conditional correlation multivariate GARCH

Posted: Thu Aug 24, 2017 6:59 am
by anzh
Hello

I have estimated the conditional correlation using DCC-GARCH and got insignificant DCC-alpha while DCC-beta is strongly significant. I have tried to estimate CCC instead but also got insignificant correlation. Could you please help and advise what could be the reason and possible solution?

Many thanks!

Re: Dynamic conditional correlation multivariate GARCH

Posted: Tue Nov 14, 2017 4:14 am
by marek1
Hello, could you please advise how to put the confidence bands to the graph of dynamic conditional correlations in Eviews? The DCC model is calculated using the code. My serial number is: 90S03555. Thank you, Marek

Re: Dynamic conditional correlation multivariate GARCH

Posted: Wed Dec 20, 2017 3:52 am
by Raqia
I am working on correlations between stock and bond markets . For instance, I want to determine first correlation between bonds and stocks and then using that correlation as dependent variable. I want to look possible factors explaining that correlation.
However i have no idea how to extract correlation series to build my dependent variable(my data is from 1980 to 2017). Shall i go for rolling window correlation or is there any other alternative to create correlation series that will serve as dependent variable?

I would be thankful for your suggestions.
my email is raqia123@gmail.com