rumidas: Univariate GARCH-MIDAS, Double-Asymmetric GARCH-MIDAS andMEM-MIDAS
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.
| Version: | 0.1.3 |
| Depends: | R (≥ 4.0.0),maxLik (≥ 1.3-8) |
| Imports: | roll (≥ 1.1.4),xts (≥ 0.12.0),tseries (≥ 0.10.47),Rdpack (≥ 1.0.0),lubridate (≥ 1.7.9),zoo (≥ 1.8.8), stats (≥4.0.2), utils (≥ 4.0.2) |
| Suggests: | knitr,rmarkdown |
| Published: | 2025-03-18 |
| DOI: | 10.32614/CRAN.package.rumidas |
| Author: | Vincenzo Candila [aut, cre] |
| Maintainer: | Vincenzo Candila <vcandila at unisa.it> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Citation: | rumidas citation info |
| Materials: | NEWS |
| CRAN checks: | rumidas results |
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