Hello all, I am trying to estimate the cumulative distribution function for a single stock return time series. A piecewise estimation is composed of three parts: parametric generalized Pareto (GP) for the lower tail (10% of the observation), non-parametric kernel-smoothed interior (80% of the observations), and GP for the upper tail (10%). I wonder if anyone has clue about this in R.
The software of Matlab has a function called 'paretotails' in the Econometrics Toolbox to do the estimation. On this site, a couple of old messages were related but no clear answers were given. Thank you, Edwin Sun -- View this message in context: http://r.789695.n4.nabble.com/Piecewise-distribution-function-estimation-with-Generalized-Pareto-for-tail-tp3649961p3649961.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ [email protected] 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.
