garchx-package | R Documentation |
Flexible and robust estimation and inference of GARCH(q,p,r)-X models, where q is the GARCH order, p is the ARCH order, r is the asymmetry or leverage order, and 'X' indicates that covariates can be included. Suitable subsets of the coefficients can be restriced to zero by omission, and Quasi Maximum Likelihood (QML) methods ensure estimates are generally consistent, even when the standardised innovations are non-normal and/or dependent.
Package: | garchx |
Type: | Package |
Version: | 1.5 |
Date: | 2022-09-13 |
License: | GPL-2 |
Genaro Sucarrat, http://www.sucarrat.net/
Maintainer: Genaro Sucarrat
garchxSim
, coef
, fitted
, logLik
, print
, residuals
, vcov
##simulate from a garch(1,1): set.seed(123) y <- garchxSim(1000) ##estimate garch(1,1) model: mymod <- garchx(y) mymod
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