for me?
Can i trust in the coefficients in this case?
mfg user84
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Hi,
i am unable to install the rugarch package.
More than that i do not even find this package in my list of possible
packages.
Its possible than the name has changed, or the package is not longer
availiable?
Is there a similar package avaliable for garch modelling except the fGarch
what i am
Hi,
i think the right to fit a GARCH-model is to use garchFit of the fGARCH
package. My problem is that the time-series is definitly not normal
distributed. So i can not use the QMLE method. How can i do it right?
thanks
Roland
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Hi,
could anyone tell me how predict() predicts the meanError or
standardDerivation of a garchFit(1,1)-model,
knowing the coefficients mu, omega, alpha1, beta1 and of course all
datapoints?
Thanks and sorry for my poor english.
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Hi,
i am a student of tecnical mathematics in austria, and my english is not
sooo good, German would be easier, but an answer in english is perfect too.
I would need any help to understand the exact output of the function
garchFit. Maybe it would help me just to know what the coefficients are
Hi,
i did in the last month a research about timeseries with the function
ARIMA().
Where i had to know how to predict and forecast new datapoints in the
future. Not only the things the functions predict() and forecast() can do.
All was ok, as the arima function was in the major parts convergent
Hi,
could anyone tell me how predict() predicts the new value(s), of a MA(1)
arima-modell.
its really easy to make it with an AR(1), knowing the last term, but how can
i or R know the last error?
It would also help if somebody could tell me how to find the open source
of the function predict().
Hi,
i am new in this forum.
I hope someone can help me or correct me, if this is the false subforum to
write this.
I have to choose the best arima model from different possibilities of a
timeseries. I know the AIC; BIC and similar. But now i would like to check
the value called r-squared or
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