Here is one more question,
How could I input an asymmetry in volatility specication in the BEKK
function?
As far as I know, the BEKK estimation function is
mvBEKK.est(eps, order = c(1,1), params = NULL, fixed = NULL, method =
"BFGS", verbose = F)
I totally have no idea to exert an asymmetry int
Dear ALL,
I use BEKK package to estimate Bivariate GARCH model. But when the results
come out, there's no t-stat or p-value of the estimated coeffients. Does
anyone know how to get the significance?
Followings are the codes I input,
>P1=data.frame(x,y)
>y1=mvBEKK.est(P1)
>mvBEKK.diag(y1)
Anyhel
Thank you for your adding, Steve, i followed Daivd's suggection and finally
got the answer.
It is my careless that should put lena instead of lenx.
I also tried your codes and worked well. I appreciate your help. I learnt a
lot from this forum.
Cheers,
Zoe
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David, I'm so appreciate!
Sincerely,
Zoe
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Dear All,
Sorry to bother
I want to write a function in R using if
Say I have a dataset x,
if x[i]<0, then x[i]=x[i],
if x[i]>0, then x[i]=0
for example, x=-3:3,
then using the function, x becomes [-3,-2,-1,0,0,0,0]
I write the codes as follows,
gjr=function(x)
{lena=length(x)
for(i in 1:lenx)
Sorry that X in the first equation should be Ɛ
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sorry to bother all,
I am recently doing a topic about spillover effect between two markets. And
I want to use AR(1)-GJR-GARCH(1,1)-M Model. I find that rgarch package has
functions for univariate GARCH model, including GJR.
My GJR model is
http://r.789695.n4.nabble.com/file/n3706508/formula.jpg
Dear All,
Sorry to bother. I'd like to estimate GARCH-M( GARCH IN THE MEAN) model. And
find that a package called rgarch could help. But I always can't instal
rgarch package successfully. I posted my problems and got some suggestions
but still failed. Does any one knows other method that could do G
Dear list members,
I'm trying to use DCC-GARCH model to estimate the correlation. I have
downloeaded ccgarch packeage but can't understand some argument in the
formula.
dcc.estimation(inia, iniA, iniB, ini.dcc, dvar, model, method="BFGS",
gradient=1, message=1)
which is on R.Help
I understand oth
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