multifilter-methods: function: Univariate GARCH and ARFIMA Multiple Filtering

In rgarch: Flexible GARCH modelling in R

Description

Method for multiple filtering of a variety of univariate GARCH and ARFIMA models.

Usage

multifilter(multifitORspec, data = NULL, out.sample = 0, n.old = NULL, parallel = FALSE, 
parallel.control = list(pkg = c("multicore", "snowfall"), cores = 2), ...)

Arguments

multifitORspec	Either a univariate GARCH or ARFIMA multiple fit object of class uGARCHmultifit and ARFIMAmultifit, or alternatively a univariate GARCH or ARFIMA multiple specification object of class uGARCHmultispec and ARFIMAmultispec with valid parameters supplied via the fixed.pars argument in the individual specifications.
data	Required if a multiple specification rather than a multiple fit object is supplied. A multivariate data object. Can be a matrix or data.frame object, no other class supported at present.
out.sample	A positive integer indicating the number of periods before the last to keep for out of sample forecasting (as in ugarchfit function).
n.old	For comparison with uGARCHfit or ARFIMAfit models using the out.sample argument, this is the length of the original dataset (see details).
parallel	Whether to make use of parallel processing on multicore systems.
parallel.control	The parallel control options including the type of package for performing the parallel calculations (‘multicore’ for non-windows O/S and ‘snowfall’ for all O/S), and the number of cores to make use of.
...	.

Value

A uGARCHmultifilter object containing details of the multiple GARCH filter. A ARFIMAmultifilter object containing details of the multiple ARFIMA filter.

Author(s)

Alexios Ghalanos

rgarch documentation built on May 2, 2019, 5:22 p.m.