gollh {gogarch}R Documentation

Log-Likelihood function of GO-GARCH models

Description

This function returns the negative of the log-Likelihood function for GO-GARCH models.

Usage

gollh(params, object, garchlist)

Arguments

params

Vector of initial values for theta.

object

An object of class Goinit or an extension thereof.

garchlist

List, elements are passed to garchFit.

Details

The log-Likelihood function of GO-GARCH models is given as:

L_{\theta, \alpha, \beta} = - \frac{1}{2} \sum_{t=1}^T m \log(2\pi) + \log|Z_\theta Z_\theta '| + \log|H_t| + y' H_t^{-1}y_t

whereby Z = P \Delta^{\frac{1}{2}} U_0, y_t = Z^{-1}x_t and H_t is the conditional variance matrix of the independent components.

Value

negll

Scalar, the negative value of the log-Likelihood function.

Author(s)

Bernhard Pfaff

References

Van der Weide, Roy (2002), GO-GARCH: A Multivariate Generalized Orthogonal GARCH Model, Journal of Applied Econometrics, 17(5), 549 – 564.

See Also

garchFit


[Package gogarch version 0.7-5 Index]