[R] R-package rmgarch

[Stefanos charalampopoulos]

Hi all,

The following questions is regarding to the statistical software R.
Specifically refers to the rmgarch package for time series analysis.

I have a dataset of [1520,34]. I am trying to fit a dcc. I am using
multispec because i want to include many univariate (c(spec1,spec2,spec3)
etc)models to have the comparison as it is done in Cappiello et all (2006).
When after that i am using multifit the model collapses resulting in

error :speclist length not equal to data length.

code: spec1 = ugarchspec(mean.model = list(armaOrder = c(1, 1),include.mean
= TRUE), variance.model = list(garchOrder = c(1,1), model = 'eGARCH'),
distribution.model = 'norm')

spec2 = ugarchspec(mean.model = list(armaOrder = c(1, 1),include.mean =
TRUE), variance.model = list(garchOrder = c(1,1), model = 'sGARCH'),
distribution.model = 'norm')

 spec3 = ugarchspec(mean.model = list(armaOrder = c(1, 1),include.mean =
TRUE), variance.model = list(garchOrder = c(1,1), model = 'sGARCH'),
distribution.model = 'norm')

spec4 = ugarchspec(mean.model = list(armaOrder = c(1, 1),include.mean =
TRUE), variance.model = list(garchOrder = c(1,1), model = 'gjrGARCH'),
distribution.model = 'norm')

mspec = multispec( replicate(8.5,c( spec1, spec2, spec3, spec4 )))###i am
using 8.5 to have 8.5x4=34.

cl = makePSOCKcluster(34)

multf = multifit(mspec, data1, cluster = cl,)

Any suggestions?

Thanks in advance,

Best,

Stefanos

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