BayesBEKK
Bayesian Estimation of Bivariate Volatility Model
The Multivariate Generalized Autoregressive Conditional Heteroskedasticity (MGARCH) models are used for modelling the volatile multivariate data sets. In this package a variant of MGARCH called BEKK (Baba, Engle, Kraft, Kroner) proposed by Engle and Kroner (1995) http://www.jstor.org/stable/3532933 has been used to estimate the bivariate time series data using Bayesian technique.
- Version0.1.1
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Last release12/05/2022
Team
Achal Lama
Bishal Gurung
Show author detailsRolesAuthorGirish K Jha
Show author detailsRolesAuthorK N Singh
Show author detailsRolesAuthor
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- Imports3 packages