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rugarch (version 1.0-3)

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

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 obj
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.