ADCC GARCH Query

Discussions of ARCH, GARCH, and related models
nhv143
Posts: 2
Joined: Mon Jun 16, 2014 7:11 pm

ADCC GARCH Query

Unread post by nhv143 »

Hi
I am estimating ADCC GARCH correlations using the attached code. I have estimated correlation for all pairs in my dataset. For a few pairs, I am getting constant correlation values for every week (I am using weekly returns data).

I have attached the code, data file and output of one pair as a specimen (see xls file for correlation results). Could you please guide me why are correlation values same for every week and where I am going wrong.

I appreciate your help.

Thank you!

Best regards
Attachments
ADCC GARCH.RPF
Code
(3.02 KiB) Downloaded 1160 times
Output3.RGF
Graph
(2.77 KiB) Downloaded 1069 times
Output2.XLS
Correlation estimates
(16.15 KiB) Downloaded 1075 times
Output1.RPF
(2.65 KiB) Downloaded 1046 times
TomDoan
Posts: 7814
Joined: Wed Nov 01, 2006 4:36 pm

Re: ADCC GARCH Query

Unread post by TomDoan »

Your second step ADCC estimates don't look very good. (In effect, it's estimating a CC model, hence the behavior). The residuals have a fairly low correlation to start, but I would look really carefully at the individual diagnostics for the univariate models, as it looks like an ADCC model isn't appropriate.
nhv143
Posts: 2
Joined: Mon Jun 16, 2014 7:11 pm

Re: ADCC GARCH Query

Unread post by nhv143 »

TomDoan wrote:You second step ADCC estimates don't look very good. (In effect, it's estimating a CC model, hence the behavior). The residuals have a fairly low correlation to start, but I would look really carefully at the individual diagnostics for the univariate models, as it looks like an ADCC model isn't appropriate.
Thanks Tom!

I am now attempting to identify the best fit model (DCC, ADCC, GDCC or AGDCC) on the basis of BIC criterion for all pairs in my time series data set. Hopefully this step will help.
TomDoan
Posts: 7814
Joined: Wed Nov 01, 2006 4:36 pm

Re: ADCC GARCH Query

Unread post by TomDoan »

I would do some careful checks on the individual GARCH models. That's almost looking like the results that you would get from having one enormous outlier (or typo) in one of the series.
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