# How to interpret the outputs of DCC Multivariate GARCH

45 views (last 30 days)
Esmail on 29 May 2015
Commented: Zhitao Zhou on 28 Jul 2018
Hello everybody,
I want to run a dcc.m code of the MFE Kevin Sheppard toolbox by giving the following code:
[PARAMETERS,LL,HT,VCV,SCORES]= dcc(DATA,[],1,0,1)
I've got 4 variables (see attached file). By runing the code, everything goes well and I get the estimated parameters in "PARAMETERS". But I'm having difficulties in understanding the outputs "VCV" and "SCORES". The explanations in the code are not sufficient.
I know that a DCC Multivariate GARCH is designed as follows:
DATA=H(t)^1/2*epsilon(t)
H(t)=D(t)*R(t)*D(t) and R(t)= diag[Q(t)^1/2] * Q(t) * diag[Q(t)^1/2]
where R(t) peresents the conditional correlation matrix.
I want finally to plot the dynamic correlations, in other words I have to plot the values of the R(t) matrix. But where is the R(t) in the outputs of this code?

Lorenzo Orlando on 12 Jun 2017
Edited: Lorenzo Orlando on 21 Jun 2017
VCV is the correlation matrix of parameters, needed to calculate standard errors as sqrt(diag(VCV)).

Weidong Lin on 12 Jan 2018
Actually the Rt is in the output of the function dcc_likelihood(), which is used inside of the dcc(). If you want to display the Rt, just simply add 'Rt' into the output option, i.e., [parameters, ll ,Ht, Rt, VCV, scores, diagnostics]=dcc(...)
Hope it works for you.
Zhitao Zhou on 28 Jul 2018
Hi, I am doing CCC GARCH model forecasting. Do you know How could I do the one-step-ahead forecasting after I fitting the model with ccc_mmvgarch.m file?

RP on 13 Jan 2018
Hi,
I am using matlab 2017 version. I have 1 query that is MFE-toolbox additionally installed in matlab 2017 version?
Weidong Lin on 13 Jan 2018
Just download the toolbox from Kevin's page. Then open your Matlab and type 'pathtool' in the command window, add the folder and subfolder of the MFE toolbox into the path.
Always check the path every time you see any errors when you use the toolbox.
RP on 27 Jan 2018
Edited: RP on 27 Jan 2018
Thank you. It works.

### Categories

Find more on Conditional Variance Models in Help Center and File Exchange

### Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!