How to interpret the outputs of DCC Multivariate GARCH

42 次查看（过去 30 天）
Esmail
Esmail 2015-5-29
评论： Zhitao Zhou 2018-7-28
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?
Can anybody help me please?

请先登录，再回答此问题。

回答（3 个）

Lorenzo Orlando
Lorenzo Orlando 2017-6-12
编辑：Lorenzo Orlando 2017-6-21
VCV is the correlation matrix of parameters, needed to calculate standard errors as sqrt(diag(VCV)).
Weidong Lin
Weidong Lin 2018-1-12
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.
  1 个评论
Zhitao Zhou
Zhitao Zhou 2018-7-28
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?

请先登录，再进行评论。

RP
RP 2018-1-13
Hi,
I am using matlab 2017 version. I have 1 query that is MFE-toolbox additionally installed in matlab 2017 version?
Please suggest.
  2 个评论
Weidong Lin
Weidong Lin 2018-1-13
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.

请先登录，再进行评论。

类别

在 Help Center 和 File Exchange 中查找有关 Conditional Variance Models 的更多信息

标签

产品

Community Treasure Hunt

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

Start Hunting!

Translated by