rumidas
0.1.3Univariate GARCH-MIDAS, Double-Asymmetric GARCH-MIDAS and MEM-MIDAS
Overview
Adds the MIxing-Data Sampling (MIDAS, Ghysels et al. (2007) doi:10.1080/07474930600972467) components to a variety of GARCH and MEM (Engle (2002) doi:10.1002/jae.683, Engle and Gallo (2006) doi:10.1016/j.jeconom.2005.01.018, and Amendola et al. (2024) doi:10.1016/j.seps.2023.101764) models, with the aim of predicting the volatility with additional low-frequency (that is, MIDAS) terms. The estimation takes place through simple functions, which provide in-sample and (if present) and out-of-sample evaluations. 'rumidas' also offers a summary tool, which synthesizes the main information of the estimated model. There is also the possibility of generating one-step-ahead and multi-step-ahead forecasts.
Install
Health
- OK2026-08-0413 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 13%
- Documented parameters
- 98%
- Return-value docs
- 97%
- References docs
- 89%
Downloads
Dependencies
Code & Tests
Datasets
People & History
4 releases. Pick two to compare their code metrics. R releases are shown for context.
Package metadata
- First published
- 2020-09-22
- Total releases
- 4 / 6 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 4.0.0
- Bundled data
- 151 KB / 4 files
- Download size
- 276 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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