Hi, dear R users, I'm a new user of R and especially in time series modelling. I would like to know how to compute arch/garch model using innovations that are not normally distributed (Student / swew-Student distriibuted). The *garch* function in the time series fits "a Generalized Autoregressive Conditional Heteroscedastic GARCH(p, q) time series model to the data by computing the maximum-likelihood estimates of the conditionally normal model."
What function/package should I use ? Thanks ! [[alternative HTML version deleted]] ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.