Description Slots Extends Methods Note Author(s) References
The class is returned by calling the function cgarchfit
.
mfit
:Object of class "vector"
multivariate fit list.
mspec
:Object of class "vector"
multivariate spec list.
uspec
:Object of class "uGARCHmultispec"
univariate multispec.
copula
:Object of class "vector"
copula details list.
model
:Object of class "vector"
model specification list.
Class "mGARCHfit"
, directly.
Class "GARCHfit"
, by class "mGARCHfit", distance 2.
Class "rGARCH"
, by class "mGARCHfit", distance 3.
signature(object = "cGARCHfit")
: coefficient vector (see note).
signature(object = "cGARCHfit")
: fitted data matrix.
signature(object = "cGARCHfit")
: extracts the joint likelihood.
signature(object = "cGARCHfit")
: extracts the correlation.
signature(object = "cGARCHfit")
: extracts the covariance.
signature(object = "cGARCHfit")
: residuals data matrix.
signature(object = "cGARCHfit")
: summary.
signature(object = "cGARCHfit")
: univariate conditional sigma matrix.
The ‘coef’ method takes additional argument ‘type’ with valid values ‘garch’ for the garch parameters, ‘st’ for the second stage parameters and by default returns all the parameters in a named vector.
Alexios Ghalanos
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.
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