Dear R users, I am trying to use tseries' garch function in order to determine the volatility of a return series generated by quantmod. Here is the code that I am using:
> library(quantmod) > getSymbols("AAPL") convert daily closing prices into continuous log returns > dret<-dailyReturn(AAPL,type='log') check to see that the autocorrelations decay > acf(dret) autocorrelations seem to oscillate to zero load package tseries need for garch > library(tseries) run garch on the daily returns > garch(dret) When Garch runs there is false convergence, which leads me to distrust the results produced from it. Any help or advice on how to remedy this problem would be appreciated greatly. Sean -- View this message in context: http://www.nabble.com/GARCH%3A%3A-False-Convergence-tp24041909p24041909.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org 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.