DCCfilter-class: class: DCC Filter Class

Description Slots Extends Methods Note Author(s) References

Description

The class is returned by calling the function dccfilter.

Slots

mfilter:

Object of class "vector".

ufilter:

Object of class uGARCHmultifilter

Extends

Class "mGARCHfilter", directly. Class "GARCHfilter", by class "mGARCHfilter", distance 2. Class "rGARCH", by class "mGARCHfilter", distance 3.

Methods

coef

signature(object = "DCCfilter") coefficient vector (see note).

likelihood

signature(object = "DCCfilter"): extracts the likelihood.

rshape

signature(object = "DCCfilter"): multivariate distribution shape vector.

rskew

signature(object = "DCCfilter"): multivariate distribution skew vector.

fitted

signature(object = "DCCfilter"): filtered data matrix.

plot

signature(x = "DCCfilter", y = "missing"): plot method, given additional arguments ‘series’ and ‘which’.

infocriteria

signature(object = "DCCfilter"): calculates and returns various information criteria.

rcor

signature(object = "DCCfilter"): Dynamic Conditional Correlation Array.

rcov

signature(object = "DCCfilter"): Dynamic Conditional Covariance Array.

show

signature(object = "DCCfilter"): summary.

sigma

signature(object = "DCCfilter"): univariate conditional sigma matrix.

Note

The ‘coef’ method takes additional argument ‘type’ with valid values ‘garch’ for the garch parameters, ‘dcc’ for the dcc parameters and by default returns all the parameters in a named vector.

Author(s)

Alexios Ghalanos

References

Engle, R.F. and Sheppard, K. Theoretical and empirical properties of dynamic conditional correlation multivariate GARCH, 2001, NBER Working Paper.



Search within the rgarch package
Search all R packages, documentation and source code

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.