- coef
`signature(object = "uGARCHfit")`

:
Extracts the coefficients.

- cofint
`signature(object = "uGARCHfit")`

:
Similar to the stats S3 method `confint`

, extracts coefficient
confidence intervals taking additional optional arguments `parm`

and
`level`

, as well as `robust`

(default: FALSE) indicating whether
to use the robust covariance matrix for the calculations.

- vcov
`signature(object = "uGARCHfit")`

:
Extracts the covariance matrix of the parameters. Additional logical option of
‘robust’ indicates whether to extract the robust based covariance matrix.

- infocriteria
`signature(object = "uGARCHfit")`

:
Calculates and returns various information criteria.

- nyblom
`signature(object = "uGARCHfit")`

:
Calculates and returns the Hansen-Nyblom stability test (1990).

- gof
`signature(object = "uGARCHfit", groups = "numeric")`

:
Calculates and returns the adjusted goodness of fit statistic and p-values
for the fitted distribution based on the Vlaar and Palm paper (1993). Groups is
a numeric vector of bin sizes.

- newsimpact
`signature(object = "uGARCHfit")`

:
Calculates and returns the news impact curve.

- signbias
`signature(object = "uGARCHfit")`

:
Calculates and returns the sign bias test of Engle and Ng (1993).

- likelihood
`signature(object = "uGARCHfit")`

:
Extracts the likelihood.

- sigma
`signature(object = "uGARCHfit")`

:
Extracts the conditional sigma values.

- fitted
`signature(object = "uGARCHfit")`

:
Extracts the fitted values.

- residuals
`signature(object = "uGARCHfit")`

:
Extracts the residuals. Optional logical argument `standardize`

(default is FALSE) allows to extract the standardized residuals.

- getspec
`signature(object = "uGARCHfit")`

:
Extracts and returns the GARCH specification from a fit object.

- uncvariance
```
signature(object = "uGARCHfit", pars = "missing",
distribution="missing", model = "missing", vexdata = "missing")
```

:
Calculates and returns the long run unconditional variance of the GARCH fit
given a `'>uGARCHfit`

object.

- uncvariance
```
signature(object = "missing", pars = "numeric",
distribution = "character", model = "character", submodel = "ANY",
vexdata = "ANY")
```

:
Calculates and returns the long run unconditional variance of the GARCH fit
given a named parameter vector as returned by the fit, a distribution model
name and a GARCH model name with a submodel included if the model is of the
nested type such as fGARCH and any external regressor data.

- uncmean
`signature(object = "uGARCHfit")`

:
Calculates and returns the unconditional mean of the conditional mean equation
(constant, ARMAX, arch-in-mean).

- persistence
```
signature(object = "uGARCHfit", pars = "missing",
distribution = "missing", model = "missing")
```

:
Calculates and returns the persistence of the GARCH fit model given a
`'>uGARCHfit`

object.

- persistence
```
signature(object = "missing", pars = "numeric",
distribution = "character", model = "character")
```

:
Calculates and returns the persistence of the GARCH fit model given a named
parameter vector as returned by the fit, a distribution model name and a
GARCH model name with a submodel included if the model is of the nested type
such as fGARCH.

- halflife
```
signature(object = "uGARCHfit", pars = "missing",
distribution = "missing", model = "missing")
```

:
Calculates and returns the halflife of the GARCH fit variance given a
`'>uGARCHfit`

object.

- halflife
```
signature(object = "missing", pars = "numeric",
distribution = "character", model = "character")
```

:
Calculates and returns the halflife of the GARCH fit variance given a named
parameter vector as returned by the fit, a distribution model name and a
GARCH model name with a submodel included if the model is of the nested
type such as fGARCH.

- convergence
`signature(object = "uGARCHfit")`

:
Returns the solver convergence code for the fitted object (zero denotes
convergence).

- quantile
`signature(x = "uGARCHfit")`

:
Calculates and returns, given a vector of probabilities (additional argument
“probs”), the conditional quantiles of the fitted object (x).

- pit
`signature(object = "uGARCHfit")`

:
Calculates and returns the conditional probability integral transform given the
data and estimated density.

- reduce
`signature(object = "uGARCHfit")`

:
Zeros parameters (fixing to zero in rugarch is equivalent to eliminating them
in estimation) with p-values (optional argument “pvalue”) greater
than 0.1 (default), and re-estimates the model. Additional arguments are passed
to `ugarchfit`

.An additional option “use.robust” (default TRUE)
asks whether to use the robust calculated p-values.

- plot
`signature(x = "uGARCHfit", y = "missing")`

:
Fit plots.

- show
`signature(object = "uGARCHfit")`

:
Fit summary.