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ccc garch model

Posted: Wed Jul 29, 2015 8:21 am
by maxchen
'EV9 20150723 x86


Code: Select all

pageload dsdf.txt system bg bg.append df = c(1) bg.append ds = c(2) bg.arch(showopts) @ccc c arch(1) garch(1) ' GARCH1 = C(3) + C(4)*RESID1(-1)^2 + C(5)*GARCH1(-1) ' GARCH2 = C(6) + C(7)*RESID2(-1)^2 + C(8)*GARCH2(-1) ' COV1_2 = C(9)*@SQRT(GARCH1*GARCH2) equation eqf.arch df c equation eqs.arch ds c

data file http://forums.eviews.com/download/file.php?id=3371

note that in the first part of the output of bg.arch, the following parts come up twice

Estimation settings: tol=0.00010, derivs=analytic
Initial Values: C(1)=9.35833, C(2)=9.22667, C(3)=171.118,




and questions
1 Is there any way to restrict the coefs in the individual variance equation to be positive? in this example, C(5) and C(8) are negative, such that the forecast variance GARCH2 is negative.
2 the coefs of eqf and eqs, are far away from those in GARCH1 and GARCH2

Re: ccc garch model

Posted: Fri Jul 31, 2015 12:11 am
by maxchen
EV 9 ver 20150728 x86

another bug: p726, Chapter 1. Object Reference
General Options: b Use Berndt-Hall-Hall-Hausman (BHHH) as maximization algorithm. The default is Marquardt.
now the new options should be "optmethod=opg"

It seems that these is updated in equation object, but not in system object yet.