Class for Univariate GAS model Simulation.
A virtual Class: No objects may be created from it.
ModelInfo:Object of class list. Contains information about the univariate GAS specification:
iT numeric Time length of simulated observations.
iK numeric Number of (possibly) time-varying parameters implied by the distributional assumption.
vKappa numeric Vector of unconditional level for the reparametrised vector of parameters.
mA matrix Of coefficients of dimension iK x iK that premultiply the conditional score in the GAS updating recursion.
mB matrix Of autoregressive coefficients of dimension iK x iK.
Dist character Label of the conditional distribution, see DistInfo
ScalingType character Representing the scaling mechanism for the conditional score, see DistInfo.
GASDyn:Object of class list. Contains: the series of simulated parameters (GASDyn$mTheta), the series of scaled scores (GASDyn$mInnovation), the series of unrestricted simulated parameters (GASDyn$mTheta_tilde), the series of log densities (GASDyn$vLLK), the log likelihood evaluated at its optimum value (GASDyn$dLLK).
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Data:Object of class numeric. Vector of length iT of simulated data.
show signature(object = 'uGASSim'): Show summary.
plot signature(x = 'uGASSim', y = 'missing'): Plot simulated data and parameters.
getFilteredParameters signature(object = 'uGASSim'): Extract simulated parameters.
getObs signature(object = 'uGASSim'): Extract simulated observations.
coef signature(object = 'uGASSim'): Extract delivered coefficients.
quantile signature(object = 'uGASSim'): Compute quantiles of the filtered simulated density at each point in time. It accepts the additional argument probs representing the vector of probabilities.
ES signature(object = 'uGASSim'): Compute the Expected Shortfall of the filtered simulated density at each point in time. It accepts the additional argument probs representing the vector of probabilities.
Leopoldo Catania