More about MSGARCH available at http://keblu.github.io/MSGARCH/.
By using MSGARCH you agree to the following rules:
- You must cite Ardia et al. (2019) in working papers and published papers that use
MSGARCH. - You must place the following URL in a footnote to help others find
MSGARCH: https://CRAN.R-project.org/package=MSGARCH. - You assume all risk for the use of
MSGARCH.
Ardia, D., Bluteau, K., Boudt, K., Catania, L., Trottier, D.-A. (2019).
Markov-switching GARCH models in R: The MSGARCH package.
Journal of Statistical Software, 91(4), 1-38.
https://doi.org/10.18637/jss.v091.i04
Ardia, D., Bluteau, K., Boudt, K., Catania, L. (2018).
Forecasting risk with Markov-switching GARCH models: A large-scale performance study
International Journal of Forecasting, 34(4), 733-747.
https://doi.org/10.1016/j.ijforecast.2018.05.004
Ardia, D., Bluteau, K., Ruede, M. (2019).
Regime changes in Bitcoin GARCH volatility dynamics.
Finance Research Letters, 29, 266-271.
https://doi.org/10.1016/j.frl.2018.08.009