Goestml-class function

Class "Goestml": GO-GARCH models estimated by Maximum-Likelihood

Class "Goestml": GO-GARCH models estimated by Maximum-Likelihood

This class contains the GoGARCH class and has the outcome of nlminb as an additional slot. class

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Objects from the Class

Objects can be created by calls of the form new("Goestml", ...), or with the function gogarch whereby method = "ml" has been set.

Slots

  • opt:: Object of class "list": List returned by nlminb.
  • Z:: Object of class "matrix": Transformation matrix.
  • U:: Object of class "matrix": Orthogonal matrix.
  • Y:: Object of class "matrix": Extracted component matrix.
  • H:: Object of class "list": List of conditional variance/covariance matrices.
  • models:: Object of class "list": List of univariate GARCH model fits.
  • estby:: Object of class "character": Estimation method.
  • X:: Object of class "matrix": The data matrix.
  • V:: Object of class "matrix": Covariance matrix of X.
  • P:: Object of class "matrix": Left singular values of Var/Cov matrix of X.
  • Dsqr:: Object of class "matrix": Square roots of eigenvalues on diagonal, else zero.
  • garchf:: Object of class "formula": Garch formula used for uncorrelated component GARCH models.
  • name:: Object of class "character": The name of the original data object.

Extends

Class "GoGARCH", directly. Class "Goinit", by class "GoGARCH", distance 2.

Methods

  • angles: Returns the Eulerian angles.
  • cvar: Returns the conditional variances as object with class attribute "mts" "ts".
  • ccov: Returns the conditional co-variances as object with class attribute "mts" "ts".
  • ccor: Returns the conditional correlations as object with class attribute "mts" "ts".
  • coef: Returns the coeffiecients of the component GARCH models.
  • converged: Returns the convergence codes of the component GARCH models.
  • formula: Returns the formula for the component GARCH models.
  • goest: ML-Estimation of Go-GARCH models.
  • logLik: Returns the value of the log-Likelihood function.
  • plot: Plotting of the conditional correlations.
  • predict: Returns the conditional covariances and mean forecasts and the forecasts of the component GARCH models, object is of class Gopredict.
  • residuals: Returns the residuals of the Go-GARCH model as object with class attribute "mts" "ts".
  • resid: Returns the residuals of the Go-GARCH model as object with class attribute "mts" "ts".
  • show: show-method for objects of class Goestml.
  • summary: summary-method for objects of class Goestml, object is of class Gosum.
  • update: Updates an object of class Goestml.

Author(s)

Bernhard Pfaff

See Also

GoGARCH, Goinit, Gosum, Gopredict, goest-methods

  • Maintainer: Bernhard Pfaff
  • License: GPL (>= 2)
  • Last published: 2022-04-29

Useful links