Package: tvgarch
Type: Package
Title: Time Varying GARCH Modelling
Version: 2.4
Date: 2023-03-07
Author: Susana Campos-Martins [aut, cre], Genaro Sucarrat [ctb]
Maintainer: Susana Campos-Martins <susana.martins@nuffield.ox.ac.uk>
Description: Simulation, estimation and inference for univariate and multivariate TV(s)-GARCH(p,q,r)-X models, where s indicates the number and shape of the transition functions, p is the ARCH order, q is the GARCH order, r is the asymmetry order, and 'X' indicates that covariates can be included. In the multivariate case, variances are estimated equation by equation and dynamic conditional correlations are allowed. The TV long-term component of the variance as in the multiplicative TV-GARCH model of Amado and Ter{\"a}svirta (2013) <doi:10.1016/j.jeconom.2013.03.006> introduces non-stationarity whereas the GARCH-X short-term component describes conditional heteroscedasticity. Maximisation by parts leads to consistent and asymptotically normal estimates.
License: GPL (>= 2)
Depends: R (>= 3.5.0), garchx, zoo, numDeriv
URL: https://sites.google.com/site/susanacamposmartins
NeedsCompilation: no
Packaged: 2023-03-07 18:20:37 UTC; sucarrat
Repository: CRAN
Date/Publication: 2023-03-08 11:10:02 UTC
Built: R 4.1.2; ; 2023-03-09 11:43:24 UTC; unix
