
Method for forecasting from the GO-GARCH model.
gogarchforecast(fit, n.ahead = 10, n.roll = 0,
external.forecasts = list(mregfor = NULL), cluster = NULL, ...)
The forecast horizon.
The no. of rolling forecasts to create beyond the first one.
A list with a matrix object of the external lagged forecasts (if used). These must contain (n.roll+1) x n.ahead forecasts.
A cluster object created by calling makeCluster
from
the parallel package. If it is not NULL, then this will be used for parallel
estimation (remember to stop the cluster on completion).
.
A '>goGARCHforecast
object containing details of the GO-GARCH
forecast.
# NOT RUN {
data(dji30ret)
spec = gogarchspec()
fit = gogarchfit(spec = spec, data = dji30ret[,1:4], out.sample = 10,
gfun = "tanh")
forecast = gogarchforecast(fit, n.ahead = 1, n.roll = 9)
# }
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