RobGARCHBoot
Robust Bootstrap Forecast Densities for GARCH Models
Bootstrap forecast densities for GARCH (Generalized Autoregressive Conditional Heteroskedastic) returns and volatilities using the robust residual-based bootstrap procedure of Trucios, Hotta and Ruiz (2017) <DOI:10.1080/00949655.2017.1359601>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.2.0 |
rolling linux/jammy R-4.5 | RobGARCHBoot_1.2.0.tar.gz |
94.5 KiB |
1.2.0 |
rolling linux/noble R-4.5 | RobGARCHBoot_1.2.0.tar.gz |
96.0 KiB |
1.2.0 |
rolling source/ R- | RobGARCHBoot_1.2.0.tar.gz |
16.0 KiB |
1.2.0 |
latest linux/jammy R-4.5 | RobGARCHBoot_1.2.0.tar.gz |
94.5 KiB |
1.2.0 |
latest linux/noble R-4.5 | RobGARCHBoot_1.2.0.tar.gz |
96.0 KiB |
1.2.0 |
latest source/ R- | RobGARCHBoot_1.2.0.tar.gz |
16.0 KiB |
1.2.0 |
2026-04-26 source/ R- | RobGARCHBoot_1.2.0.tar.gz |
16.0 KiB |
1.2.0 |
2026-04-23 source/ R- | RobGARCHBoot_1.2.0.tar.gz |
16.0 KiB |
1.2.0 |
2026-04-09 windows/windows R-4.5 | RobGARCHBoot_1.2.0.zip |
418.0 KiB |
1.2.0 |
2025-04-20 source/ R- | RobGARCHBoot_1.2.0.tar.gz |
16.0 KiB |
Dependencies (latest)
Imports
- Rcpp (>= 1.0.3)
- foreach
- doParallel
- doRNG