Correct specification for modelling a AR(p)-GJR GARCH(1, 1) - skewed t using fGARCH

Hi folks, 
I am trying to model a fit for FTSE100 daily log returns. As a first step I
obtain the daily log returns using LN ( Pt / Pt-1) . Next suppose I define x
as the vector of log return series ; I used the fGARCH to model the AR(5) -
GJR GARCH(1,1) - skewed t . Can someone advise whether the following entry
is correct?

garchFit(FTSE100 ~arma(5,0) +aparch(1,1), data=x, init.rec = c("mci"),

delta = 2, skew = 1,
shape = 4, cond.dist = c("sstd"),
include.mean = TRUE, include.delta = FALSE, include.skew = NULL,
include.shape = NULL, leverage = NULL, trace = TRUE,
algorithm = c( "nlminb"),
control = list(), title = NULL, description = NULL)

I managed to obtain some results using this command. However the skewness
parameter returned from this command doesn't seems odd ( it is positive
value when my data exhibits negative skewness)

Can anyone help me with this code?Thanks.

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