CRAN/E | SBAGM

SBAGM

Search Best ARIMA, GARCH, and MS-GARCH Model

Installation

About

Get the most appropriate autoregressive integrated moving average, generalized auto-regressive conditional heteroscedasticity and Markov switching GARCH model. For method details see Haas M, Mittnik S, Paolella MS (2004). doi:10.1093/jjfinec/nbh020, Bollerslev T (1986). doi:10.1016/0304-4076(86)90063-1.

Key Metrics

Version 0.1.0
R ≥ 2.10
Published 2020-10-28 1131 days ago
Needs compilation? no
License GPL-3
CRAN checks SBAGM results

Downloads

Last 24 hours 0 -100%
Last 7 days 59 +51%
Last 30 days 201 +42%
Last 90 days 438 +4%
Last 365 days 1.843 -27%

Maintainer

Maintainer

Rajeev Ranjan Kumar

rrk.uasd@gmail.com

Authors

Rajeev Ranjan Kumar

aut / cre

Girish Kumar Jha

aut / ths / ctb

Dwijesh C. Mishra

ctb

Neeraj Budhlakoti

ctb

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Depends

R ≥ 2.10

Imports

MSGARCH
forecast
rugarch