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rugarch

The rugarch package is the premier open source software for univariate GARCH modelling. It is written in R using S4 methods and classes with a significant part of the code in C and C++ for speed. It contains a number of GARCH models beyond the vanilla version including IGARCH, EGARCH, GJR, APARCH, FGARCH, Component-GARCH, multiplicative Component-GARCH for high frequency returns and the realized-GARCH model, as well as a very large number of conditional distributions including (Skew)-Normal, (Skew)-GED, (Skew)-Student (Fernandez/Steel), (Skew)-Student (GH), Normal Inverse Gaussian (NIG), Generalized Hyperbolic (GH) and Johnson?s SU (JSU). The conditional mean equation includes ARFIMA and ARCH-in-mean, and is estimated in a joint step with the GARCH model. Both the conditional mean and variance parts allow for external regressors to be used. A comprehensive set of methods to work with these models are implemented, and include estimation, filtering, forecasting, simulation, inference tests and plots, with additional functionality in the form of the GARCH bootstrap, parameter uncertainty via the GARCH distribution function, misspecification tests (Hansen's GMM and Hong & Li Portmanteau type test), predictive accuracy tests (Pesaran & Timmermann, Anatolyev & Gerko), and Value at Risk tests (VaR Exceedances and Expected Shortfall tests).

The stable version is on CRAN. The development version is now on github.

A new package based on a moden rewrite of rugarch is available here

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Version

Install

install.packages('rugarch')

Monthly Downloads

40,361

Version

1.5-2

License

GPL-3

Issues

Pull Requests

Stars

Forks

Repository

https://github.com/alexiosg/rugarch

Homepage

http://www.unstarched.net

Maintainer

Alexios Ghalanos

Last Published

August 19th, 2024

Functions in rugarch (1.5-2)

arfimadistribution-methods

function: ARFIMA Parameter Distribution via Simulation

Value at Risk Exceedances plot

arfimafilter-methods

function: ARFIMA Filtering

ARFIMAfilter-class

class: ARFIMA Filter Class

Value at Risk loss function of Gonzalez-Rivera, Lee, and Mishra (2004)

ARFIMAfit-class

class: ARFIMA Fit Class

ugarchdistribution-methods

function: Univariate GARCH Parameter Distribution via Simulation

class: High Level ARFIMA class

DateTimeUtilities

A small set of utilities to work with some time and date classes.

ARFIMAX time series cross validation

ARFIMAmultispec-class

class: ARFIMA Multiple Specification Class

Expected Shortfall Test.

ARFIMAdistribution-class

class: ARFIMA Parameter Distribution Class

class: GARCH Fit Class

ARFIMApath-class

class: ARFIMA Path Simulation Class

Directional Accuracy Test

GARCHdistribution-class

class: GARCH Parameter Distribution Class

ARFIMAroll-class

class: ARFIMA Rolling Forecast Class

data: Deutschemark/British pound Exchange Rate

ARFIMAsim-class

class: ARFIMA Simulation Class

GARCHpath-class

class: GARCH Path Simulation Class

ARFIMAmultiforecast-class

class: ARFIMA Multiple Forecast Class

GARCHboot-class

class: GARCH Bootstrap Class

arfimapath-methods

function: ARFIMA Path Simulation

Functions exported for use in rmgarch

data: Standard and Poors 500 Closing Value Log Return

GARCHroll-class

class: GARCH Roll Class

class: GARCH Simulation Class

GARCHforecast-class

class: GARCH Forecast Class

GARCHspec-class

class: GARCH Spec Class

class: rGARCH Class

Value at Risk Exceedances Test

ARFIMAforecast-class

class: ARFIMA Forecast Class

ARFIMAspec-class

class: ARFIMA Specification Class

ARFIMAmultifilter-class

class: ARFIMA Multiple Filter Class

arfimaroll-methods

function: ARFIMA Rolling Density Forecast and Backtesting

rugarch-package

The rugarch package

ugarchroll-methods

function: Univariate GARCH Rolling Density Forecast and Backtesting

uGARCHfilter-class

class: Univariate GARCH Filter Class

arfimasim-methods

function: ARFIMA Simulation

GARCHfilter-class

class: GARCH Filter Class

arfimaforecast-methods

function: ARFIMA Forecasting

Berkowitz Density Forecast Likelihood Ratio Test

uGARCHforecast-class

class: Univariate GARCH Forecast Class

uGARCHspec-class

class: Univariate GARCH Specification Class

GARCHtests-class

class: GARCH Tests Class

arfimafit-methods

function: ARFIMA Fit

Benchmark: The Benchmark Test Suite

The GMM Orthogonality Test of Hansen

arfimaspec-methods

function: ARFIMA Specification

data: SPDR Standard and Poors 500 Open-Close Daily Return and Realized Kernel Volatility

uGARCHfit-class

class: Univariate GARCH Fit Class

ugarchforecast-methods

function: Univariate GARCH Forecasting

ugarchpath-methods

function: Univariate GARCH Path Simulation

uGARCHmultifilter-class

class: Univariate GARCH Multiple Filter Class

ugarchsim-methods

function: Univariate GARCH Simulation

uGARCHroll-class

class: Univariate GARCH Rolling Forecast Class

The Non-Parametric Density Test of Hong and Li

uGARCHboot-class

class: Univariate GARCH Bootstrap Class

VaR Duration Test

uGARCHdistribution-class

class: Univariate GARCH Parameter Distribution Class

ugarchspec-methods

function: Univariate GARCH Specification

multifilter-methods

function: Univariate GARCH and ARFIMA Multiple Filtering

multifit-methods

function: Univariate GARCH and ARFIMA Multiple Fitting

data: Dow Jones 30 Constituents Closing Value Log Return

Automatic Model Selection for ARFIMA models

uGARCHmultispec-class

class: Univariate GARCH Multiple Specification Class

ugarchfilter-methods

function: Univariate GARCH Filtering

uGARCHpath-class

class: Univariate GARCH Path Simulation Class

multiforecast-methods

function: Univariate GARCH and ARFIMA Multiple Forecasting

multispec-methods

function: Univariate multiple GARCH Specification

Distribution: Generalized Hyperbolic Transformation and Scaling

Model Confidence Set Test

uGARCHsim-class

class: Univariate GARCH Simulation Class

uGARCHmultifit-class

class: Univariate GARCH Multiple Fit Class

uGARCHmultiforecast-class

class: Univariate GARCH Multiple Forecast Class

Distribution: rugarch distribution functions

ugarchfit-methods

function: Univariate GARCH Fitting

ugarchboot-methods

function: Univariate GARCH Forecast via Bootstrap

ARFIMAmultifit-class

class: ARFIMA Multiple Fit Class