Multivariate Conditional Volatility Modelling and Forecasting
Overview
Methods and tools for estimating, simulating and forecasting of so-called BEKK-models (named after Baba, Engle, Kraft and Kroner) based on the fast Berndt–Hall–Hall–Hausman (BHHH) algorithm described in Hafner and Herwartz (2008) doi:10.1007/s00184-007-0130-y. For an overview, we refer the reader to Fülle et al. (2024) doi:10.18637/jss.v111.i04.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-05-02
- NOTE12 OK, 2 NOTE2026-04-22
- ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18
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- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 12
- Examples that run
- 20%2 run in a plain check · 8 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 83%
- Documented parameters
- 94%
- Return-value docs
- 100%
- Help pages citing references
- 33%
Downloads
Dependencies
Code & Tests
Datasets
People & History
Previously maintained by Alexander Lange (1.0.0 to 1.4.0).
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- 1.4.7Latest
- RR 4.6.0 released · 2026-04-24
- 1.4.62025-12-07 · diff ↗
- RR 4.5.0 released · 2025-04-11
- 1.4.52024-11-25 · diff ↗
- RR 4.4.0 released · 2024-04-24
- 1.4.4
- RR 4.3.0 released · 2023-04-21
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- 1.4.0
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- 1.2.0
Package metadata
- First published
- 2022-01-20
- Total releases
- 15 / 4 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 263 KB / 2 files
- Download size
- 658 KB
Cite
Cite this package
Run in R for the authors' entry:
citation("BEKKs")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.18637/jss.v111.i04.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.