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garch model estimation
2 messages · ShyhWeir Tzang, Yohan Chalabi
"ST" == ShyhWeir Tzang <swtzang at gmail.com> on Thu, 22 Oct 2009 20:16:48 +0800
ST> I used the data from the package fPortfolio like the following. ST> But the results seem not right as the estimated parameters ST> such as alpha and ST> beta didn't change at all. Can someone or the authors help me ST> out? Another ST> question is how to compute the standard errors and t values ST> numerically by ST> the R code? Any hint or help is highly appreciated. Hi ShyhWeir, Your data set is badly scaled for the optimization and you should first check if there is any GARCH process in it. try out with the data from package fGarch : # after your code library(fGarch) data(dem2gbp) x <- dem2gbp[,1] init<-garchInit(x) garchllFit(x, init[,1], init[,2],init[,3]) This gives me the same fitted parameters as on the presentation. You might be interested by the paper of Zivot on "Practical Issues in the Analysis of GARCH Models" which is available on his website. HTH, Yohan
PhD candidate Swiss Federal Institute of Technology Zurich www.ethz.ch