Forecasting GARCH
In my best knowledge prediction for garch process was already discussed in this forum. Why dont you have some search here? Best,
Cristian Gonzalez wrote:
Dear All,
I have a question regarding the implementation in R of the paper
"Prediction in dynamic models with time-dependent conditional variance"
by Baillie and Bollerslev, Journal of Econometrics 52 (1992) 91-113.
The idea is to run GARCH in one time series and after that to use
estimators in a new (several) more time series for prediction.
Using R, available packages (fGarch, rGarch, etc.) do not have this
routine. The predict function allows the forecast only of the previous
time series; garchpred(estimation,n.ahead=5)
MATLAB has this routine for a new time series using the garchpred
function; garchpred(coef,newtimeseries,5)
I am working only with R and I would like to continue working without
using other programs. Do you know how I can to do it in R?
Thanks in advance,
Cristian Gonzalez
**********************************************************************************************
IMPORTANT: The contents of this email and any attachments are
confidential. They are intended for the
named recipient(s) only.
If you have received this email in error, please notify the system manager
or the sender immediately and do
not disclose the contents to anyone or make copies thereof.
*** SGFC scanned this email for viruses, vandals, and malicious content.
***
**********************************************************************************************
[[alternative HTML version deleted]]
_______________________________________________ R-SIG-Finance at stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-sig-finance -- Subscriber-posting only. -- If you want to post, subscribe first.
View this message in context: http://www.nabble.com/Forecasting-GARCH-tp25172887p25185941.html Sent from the Rmetrics mailing list archive at Nabble.com.