tvgarch
2.4.3Time Varying GARCH Modelling
Overview
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; see Campos-Martins and Sucarrat (2024) doi:10.18637/jss.v108.i09. 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 Terasvirta (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.
Install
Health
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 75%
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Code & Tests
- Cyclomatic complexity
- 7.0 median / 131 max
Test coverage
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Functions
49 11 exported
Complexity
14.7 avg / 131 max
Call network
49 nodes / 51 edges
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People & History
9 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 2.4.3Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 2.4.22024-04-05 · diff ↗
- 2.4.12023-10-01 · diff ↗
- RR 4.3.0 released · 2023-04-21
- 2.42023-03-08 · diff ↗
- 2.32023-01-28 · diff ↗
- RR 4.2.0 released · 2022-04-22
- 2.22021-12-21 · diff ↗
- 2.12021-09-02 · diff ↗
- RR 4.1.0 released · 2021-05-18
- 2.02021-04-16 · diff ↗
- 1.02021-02-05
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2021-02-05
- Total releases
- 9 / 5 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 3.5.0
- Download size
- 36 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet