Time-Varying Garch Models Through a State-Space Representation
Overview
Estimates the time-varying (tv) parameters of the GARCH(1,1) model, enabling the modeling of non-stationary volatilities by allowing the model parameters to change gradually over time. The estimation and prediction processes are facilitated through the application of the Kalman filter and state-space equations. This package supports the estimation of tv parameters for various deterministic functions, which can be identified through exploratory analysis of different time periods or segments of return data. The methodology is grounded in the framework presented by Ferreira et al. (2017) doi:10.1080/00949655.2017.1334778.
Install
Health
- OK13 OK2026-08-04
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 19
- Examples that run
- 44%4 run in a plain check · 5 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 88%
- Documented parameters
- 91%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Dependencies
Installing tvGarchKF adds 17 packages (8 with compiled code, 8.1 MB of source tarballs). Heaviest: Rcpp 1.8 MB, timeSeries 1.4 MB, rbibutils 1.1 MB.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- 1.0.0Latest2026-08-22 · current release · diff ↗ ·
added 3 exports
auto.tvGarchKF, tvGarchNonParamFit, tvGarchNonParamKF - RR 4.6.0 released · 2026-04-24
- 0.0.12025-05-30
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2025-05-30
- Total releases
- 2 / 1 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 10 KB / 1 file
- Download size
- 62 KB
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