rugarch (version 1.4-2)

uGARCHsim-class: class: Univariate GARCH Simulation Class

Description

Class for the univariate GARCH simulation.

Extends

Class "'>GARCHsim", directly. Class "'>rGARCH", by class "GARCHsim", distance 2.

Slots

simulation:

Object of class "vector" Holds data on the simulation.

model:

Object of class "vector" The model specification common to all objects.

seed:

Object of class "integer" The random seed used.

Methods

sigma

signature(object = "uGARCHsim"): Extracts the conditional sigma simulated values as a matrix of size n.sim x m.sim.

fitted

signature(object = "uGARCHsim"): Extracts the conditional mean simulated values as a matrix of size n.sim x m.sim.

quantile

signature(object = "uGARCHsim", probs="numeric"): Calculates and returns, given a scalar for the probability (additional argument “probs”), the conditional quantile of the simulated object as an n.sim by m.sim matrix (with the same type of headings as the sigma and fitted methods).

plot

signature(x = "uGARCHsim", y = "missing"): Simulation plots.

show

signature(object = "uGARCHsim"): Simulation summary.

See Also

Classes '>uGARCHforecast, '>uGARCHfit and '>uGARCHspec.

Examples

# NOT RUN {
# Basic GARCH(1,1) Spec
data(dmbp)
spec = ugarchspec()
fit = ugarchfit(data = dmbp[,1], spec = spec)
sim = ugarchsim(fit,n.sim=1000, n.start=1, m.sim=1, startMethod="sample")
sim
head(sigma(sim))
# }