The class is returned by calling the function cgarchfilter
.
mfilter
:Object of class "vector"
Multivariate
filter list.
model
:Object of class "vector"
Model specification
list.
Class "'>mGARCHfilter"
, directly.
Class "'>GARCHfilter"
, by class "mGARCHfilter", distance 2.
Class "'>rGARCH"
, by class "mGARCHfilter", distance 3.
signature(object = "cGARCHfilter")
:
The coefficient vector (see note).
signature(object = "cGARCHfilter")
:
The conditional mean filtered data (xts object).
signature(object = "cGARCHfilter")
:
The joint likelihood.
signature(object = "cGARCHfilter")
:
The conditional correlation array with third dimension labels the time index.
signature(object = "cGARCHfilter")
:
The conditional covariance array with third dimension labels the time index.
signature(object = "cGARCHfilter")
:
The model residuals (xts object).
signature(object = "cGARCHfilter")
:
Summary.
signature(object = "cGARCHfilter")
:
The model conditional sigma (xts object).
signature(object = "cGARCHfilter")
:
The multivariate distribution shape parameter(s).
signature(object = "cGARCHfilter")
:
The multivariate distribution skew parameter(s).
Joe, H. Multivariate Models and Dependence Concepts, 1997, Chapman \& Hall, London. Genest, C., Ghoudi, K. and Rivest, L. A semiparametric estimation procedure of dependence parameters in multivariate families of distributions, 1995, Biometrika, 82, 543-552.