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fGarch (version 290.76)

Rmetrics - Autoregressive Conditional Heteroskedastic Modelling

Description

Environment for teaching "Financial Engineering and Computational Finance"

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Version

Install

install.packages('fGarch')

Monthly Downloads

14,321

Version

290.76

License

GPL (>= 2)

Maintainer

Rmetrics Team

Last Published

March 26th, 2024

Functions in fGarch (290.76)

garchFit

Univariate GARCH Time Series Fitting
snorm

Skew Normal Distribution and Parameter Estimation
garchSpec

Univariate GARCH Time Series Specification
garchSim

Univariate GARCH/APARCH Time Series Simulation
fGARCHSPEC-class

Class "fGARCHSPEC"
plot-methods

GARCH Plot Methods
absMoments

Absolute Moments of GARCH Distributions
volatility-methods

Extract GARCH Model Volatility
sstd

Skew Student-t Distribution and Parameter Estimation
show-methods

GARCH Modelling Show Methods
fitted-methods

Extract GARCH Model Fitted Values
fGARCH-class

Class "fGARCH"
residuals-methods

Extract GARCH Model Residuals
fGarch-package

GARCH Modelling Package
sged

Skew GED Distribution and Parameter Estimation
predict-methods

GARCH Prediction Function
formula-methods

Extract GARCH Model formula
summary-methods

GARCH Summary Methods
TimeSeriesData

Time Series Data Sets
garchFitControl

GARCH Fitting Algorithms and Control
coef-methods

GARCH Coefficients Methods