# GARCH plot methods

`methods-plot.Rd`

Plot methods for GARCH Modelling.

## Arguments

- x
an object of class

`"fGARCH"`

.- which
a character string or a vector of positive denoting which plot should be displayed, see section ‘Details’.

- ...
optional arguments to be passed.

## Details

The `plot`

method for `"fGARCH"`

objects offers a selection
of diagnostic, exploratory, and presentation plots from a
menu. Argument `which`

can be used to request specific plots,
which is particularly useful in scripts.

The generic function `plot`

allows to display 13 graphs:

Time SeriesPlot |

Conditional Standard Deviation Plot |

Series Plot with 2 Conditional SD Superimposed |

Autocorrelation function Plot of Observations |

Autocorrelation function Plot of Squared Observations |

Cross Correlation Plot |

Residuals Plot |

Conditional Standard Deviations Plot |

Standardized Residuals Plot |

ACF Plot of Standardized Residuals |

ACF Plot of Squared Standardized Residuals |

Cross Correlation Plot between $r^2$ and r |

Quantile-Quantile Plot of Standardized Residuals |

## Examples

```
## garchSim -
# Default Garch(1,1) Model:
x = garchSim(n = 200)
head(x)
#> GMT
#> garch
#> 2022-11-18 0.007522375
#> 2022-11-19 -0.001628817
#> 2022-11-20 0.003737262
#> 2022-11-21 0.004705047
#> 2022-11-22 0.001966999
#> 2022-11-23 -0.005850769
## garchFit -
fit = garchFit(formula = ~ garch(1, 1), data = x, trace = FALSE)
## Batch Plot:
plot(fit, which = 3)
if (FALSE) {
## Plot:
# Interactive Plot:
plot(fit)
}
```