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Unified bootstrap SE computation for DCC, CGARCH, and GOGARCH correlation models.

Usage

correlation_bootstrap_se(
  model_type = c("dcc", "cgarch", "gogarch"),
  residuals,
  weights,
  mle_result,
  n_boot = 200,
  method = c("residual", "parametric"),
  distribution = "mvn",
  verbose = TRUE,
  seed = NULL,
  ...
)

Arguments

model_type

Type of correlation model: "dcc", "cgarch", or "gogarch"

residuals

T x k matrix of standardized residuals (or copula residuals)

weights

T-vector of observation weights

mle_result

List containing MLE estimates (model-specific structure)

n_boot

Number of bootstrap replications (default 200)

method

Bootstrap method: "residual" or "parametric"

distribution

Distribution: "mvn", "mvt", "norm", "std"

verbose

Print progress

seed

Random seed for reproducibility

...

Additional model-specific arguments

Value

List with bootstrap results