Flexible and Robust GARCH-X Modelling

Flexible and robust estimation and inference of generalised autoregressive conditional heteroscedasticity (GARCH) models with covariates ('X') based on the results by Francq and Thieu (2018) . Coefficients can straightforwardly be set to zero by omission, and quasi maximum likelihood methods ensure estimates are generally consistent and inference valid, even when the standardised innovations are non-normal and/or dependent over time.


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install.packages("garchx")

1.3 by Genaro Sucarrat, 5 months ago


http://www.sucarrat.net/


Report a bug at https://github.com/gsucarrat/garchx/issues


Browse source code at https://github.com/cran/garchx


Authors: Genaro Sucarrat [aut, cre]


Documentation:   PDF Manual  


Task views: Empirical Finance


GPL (>= 2) license


Depends on zoo


Depended on by tvgarch.


See at CRAN