DCCsim-class {rmgarch} | R Documentation |
class: DCC Forecast Class
Description
The class is returned by calling the function dccsim
.
Slots
msim
:Object of class
"vector"
Multivariate simulation list.model
:Object of class
"vector"
Model specification list.
Extends
Class "mGARCHsim"
, directly.
Class "GARCHsim"
, by class "mGARCHsim", distance 2.
Class "rGARCH"
, by class "mGARCHsim", distance 3.
Methods
- fitted
signature(object = "DCCsim")
: The conditional mean simulated data matrix given additional argument ‘sim’ denoting the simulation run (m.sim
) to return values for.- rcor
signature(object = "DCCsim")
: The simulated dynamic conditional correlation array given additional arguments ‘sim’ denoting the simulation run (m.sim
) to return values for, and ‘type’ (either “R” for the correlation else will return the Q matrix). A further argument ‘output’ allows to switch between “array” and “matrix” returned object.- rcov
signature(object = "DCCsim")
: The simulated dynamic conditional covariance array given additional argument ‘sim’ denoting the simulation run (m.sim
) to return values for. A further argument ‘output’ allows to switch between “array” and “matrix” returned object.- sigma
signature(object = "DCCsim")
: The univariate simulated conditional sigma matrix given additional argument ‘sim’ (m.sim
) denoting the simulation run to return values for.- show
signature(object = "DCCsim")
: Summary.
Author(s)
Alexios Galanos
References
Engle, R.F. and Sheppard, K. 2001, Theoretical and empirical properties of
dynamic conditional correlation multivariate GARCH, NBER Working Paper.