Hi Rt<-garchFit(formula=~garch(1,1),include.mean=FALSE,dataX2,cond.dist=c("std")) # Student-t Garch. I got the this output omega alpha1 beta1 shape 0.0001027529 0.0519514447 0.8887136602 5.6843302645 I use above formulation to calculate the time-varying variance for Student-t Garch. Var(t)= omega + alpha*(return(t-1)^2)+beta*(var(t-1)) Should I use the shape parameter in my Garch-student T volatility forecast ? ( Or need another parameter?) How to use these parameters estimation for time-varying variance for Garch- Student t ? Regards, Ser -- View this message in context: http://r.789695.n4.nabble.com/fGarch-package-for-Student-t-Garch-tp4418871p4418871.html Sent from the R help mailing list archive at Nabble.com.