The ruGarch Package‏ & Insignificant estimates

You have 3 options:

1. Fix the parameter which is not significant to zero and re-estimate
e.g. ma1
"setfixed(modelspec)<-list(ma1=0)"
The documentation on ugarchspec explains the naming of the parameters.

2. Change the ugarchspec to exclude the parameter from estimation.

3. Automatically have the program zero the parameters outside a certain
p-value threshold and re-estimate the model using the 'reduce' method:
e.g. given an estimated model of class uGARCHfit (e.g. 'mod')
newmod = reduce(mod, pvalue=0.1)

At present, the danger of using the 'reduce' method is that it will zero
the GARCH intercept if it is not significant. I will update this to
instead set it to its variance targeting value in the next update.

-Alexios

Hello
I hope somebody have time to answer me on a question related to the ruGarch package. I have fitted a model , but one of the estimates is insignificant and I want to estimate the same model once more without including this estimate. What should I type to make this happened? I have consulted the package pdf and googled it but without luck.
The code I used:
modelspec <- ugarchspec (variance.model = list(model = "gjrGARCH", garchOrder = c(1,1), submodel=0 ), mean.model = list(armaOrder = c(0, 1), include.mean = T), distribution.model = "norm" , fixed.pars=list())  modelspec at model$parsmodelfit <- ugarchfit(spec=modelspec, data=rn)show(model fit)  
Greetings  		 	   		  
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