show,fEGarch_fit_egarch-method

show,fEGarch_fit_loggarch-method

show,fEgarch_fit_loggarch-method

show,fEGarch_fit_aparch-method

show,fEgarch_fit_aparch-method

show,fEGarch_fit_gjrgarch-method

show,fEgarch_fit_gjrgarch-method

show,fEGarch_fit_tgarch-method

show,fEgarch_fit_tgarch-method

show,fEGarch_fit_garch-method

show,fEgarch_fit_garch-method

show,fEGarch_fit_fiaparch-method

show,fEgarch_fit_fiaparch-method

show,fEGarch_fit_figjrgarch-method

show,fEgarch_fit_figjrgarch-method

show,fEGarch_fit_fitgarch-method

show,fEgarch_fit_fitgarch-method

show,fEGarch_fit_figarch-method

show,fEgarch_fit_figarch-method

show,fEGarch_fit_rugarch_wrapper-method

show,fEgarch_fit_rugarch_wrapper-method

show,fEGarch_distr_est-method

show,fEgarch_distr_est-method

Display estimation results from the EGARCH family in
a convenient way in the console.

Implement and fit a variety of short-memory (SM) and long-memory
(LM) models from a very broad family of exponential generalized autoregressive
conditional heteroskedasticity (EGARCH) models, such as a MEGARCH (modified
EGARCH), FIEGARCH (fractionally integrated EGARCH), FIMLog-GARCH (fractionally
integrated modulus Log-GARCH), and more. The FIMLog-GARCH as part of the
EGARCH family is discussed in Feng et al. (2023)
<https://econpapers.repec.org/paper/pdnciepap/156.htm>. For convenience and
the purpose of comparison, a variety of other popular SM and LM GARCH-type
models, like an APARCH model, a fractionally integrated
APARCH (FIAPARCH) model, standard GARCH and fractionally integrated GARCH
(FIGARCH) models, GJR-GARCH and FIGJR-GARCH models, TGARCH and FITGARCH
models, are implemented as well as dual models with simultaneous modelling of
the mean, including dual long-memory models with a fractionally integrated
autoregressive moving average (FARIMA) model in the mean and a long-memory
model in the variance, and semiparametric volatility model extensions.
Parametric models and parametric model parts are fitted through
quasi-maximum-likelihood estimation.
Furthermore, common forecasting and backtesting functions for value-at-risk
(VaR) and expected shortfall (ES) based on the package's models are provided.

Dominik Schulz

fEGarch

SM/LM EGARCH & GARCH, VaR/ES Backtesting & Dual LM Extensions

Yuanhua Feng

Christian Peitz

Oliver Kojo Ayensu

Thomas Gries

Sikandar Siddiqui

Shujie Li

show,fEGarch_fit_egarch-method function

<dl><dt>object</dt>
<dd>an object returned by one of this package's fitting functions,
for example <code>fEGarch</code>,
<code>fiaparch</code>, <code>figarch</code>, etc.</dd></dl>

Arguments

Show Method for Estimation Output — show,fEGarch_fit_egarch-method

<dl>

<dt>object</dt>
<dd>an object returned by one of this package's fitting functions,
for example <code>fEGarch</code>,
<code>fiaparch</code>, <code>figarch</code>, etc.</dd>

</dl>

Show Method for Estimation Output

show,fEGarch_fit_egarch-method: Show Method for Estimation Output

Description

Usage

Value

Arguments