About ugarchboot

The resampled innovations are not kept or returned by the routine.
However, you can replicate them by noting the following (and assuming
you are using the 'partial' bootstrap not the 'full' version on a
uGARCHfit object):
1. There is an argument called rseed in the routine. This is an integer
equal to n.bootpred. You need to define it.
2. Given a fitted object (mod), extract the standardized residuals:
z = residuals(mod, standardize=TRUE)
3. Run this code (additional options come from routine's arguments which
you can choose):
############################
if(sampling!="raw"){
zfit = rugarch:::.bfit(z, sampling, spd.options)
} else{
zfit = NULL
}
# you might be asked to load some additional packages depending on the #
sampling type chosen (packages spd or ks)
resampled_z = matrix(apply(as.data.frame(1:n.bootpred), 1, FUN =
function(i) { set.seed(rseed[i]);
rugarch:::.bsample(z, n.ahead, sampling, zfit);
}), ncol = n.bootpred)
############################
For the "full" bootstrap or method called using a uGARCHspec object
instead, just look at the underlying code (rugarch-bootstrap.R).

-Alexios

Hi R users

I'm wondering whether could be possible to get the resampled innovations
from the empirical distribution used when using ugarchboot function from
'great' rugarch package.

With resampled innovations from empirical distribution I mean:
innov(t)=Residual(t)/sigma(t)

I got the manual and also the vignette in front but seems like there isn't
a method to directly extract them.  also did some google search but not
succeed.

 I also did some google research but not succeed.

Could anyone guide me through this?

Bests