Hi,
     Is it possible to impose constraints on the fitted parameters using
ugarchfit, (or other fitting procedure available in the rugarch)? For
example suppose I want to run:

myspec=ugarchspec(variance.model=list(garchOrder(c(1,1),
variance.targeting=TRUE),
                                   distribution.model="std",
fixed.pars=list(shape=4),
                                    mean.model=list(armaOrder=c(0,0)))
gfit=ugarchfit(spec=myspec, data=mydata, solver="nlminb")

But somehow impose that 0 < \alpha < 0.2 and 0.5 < \beta < 1.0 (where
\alpha and \beta have their usual definitions).

Thanks in advance,
George

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