Bookmark and Share

Notice: On March 31, it was announced that Statalist is moving from an email list to a forum. The old list will shut down on April 23, and its replacement, is already up and running.

[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

st: Heteroskedasticity still presents after using DCC-MGARCH

From   Ra Nad <>
Subject   st: Heteroskedasticity still presents after using DCC-MGARCH
Date   Wed, 26 Sep 2012 13:03:36 -0500

Hi all,

I have a problem  running the DCC-MGARCH model.Heteroskedasticity
still presents after using DCC-MGARCH no matter what mean equation or
order of ARCH/GARCH that I use

I tested several series of returns and found no autocorrelation but
heteroskedasticity in the returns . So I use DCC-MGARCH model to
estimate their correlation.After running the DCC-MGARCH, I checked the
residuals for heteroskedasticity and found heteroskedasticity still
presents. The special thing is, whatever lag order or mean equation I
use, when I check for PACF of the squared residuals, they are still
significant at the same lags like the PACF of the squared return.

I don't know if my explanation is clear or not so I give an example below:

When checking the PACF of  squared prices A,B, and C, I found the PACF
is significant at lag 1,2,3,9 for squared A, the PACF is significant
at lag 2 for squared B, and at lag 3,5 for squared C. After running
the DCC-MGARCH  with several types of mean equation such as VAR,
ARIMA, I check for the residual's PACF and found PACF of squared A are
still significant at lag 1,2,3,9 , PACF of squared B is still
significant at lag 2, the same happens for squared C. So basically the
DCC-MGARCH did not remove any ARCH effect at all.

The problem happens will every return series that I have. I also tried
to use ARCH or GARCH for each returns individually, but the
residuals's PACF after using ARCH or GARCH or DCC-MGARCH look just
exact the same like the PACF of the squared returns.

Do you know why this problem occurs? and What should I do to fix it?
Many thanks for any suggestion.

*   For searches and help try:

© Copyright 1996–2016 StataCorp LP   |   Terms of use   |   Privacy   |   Contact us   |   Site index