Gen_Artificial_Series: Generate artificial time-series in the bootstrap setup

In MultiATSM: Multicountry Term Structure of Interest Rates Models

Generate artificial time-series in the bootstrap setup

Description

Generate artificial time-series in the bootstrap setup

Usage

Gen_Artificial_Series(
  ModelParaPE,
  residPdynOriginal,
  residYieOriginal,
  ModelType,
  BFull,
  InputsForOutputs,
  Economies,
  FactorLabels,
  GVARlist,
  JLLlist,
  WishBRW,
  BRWlist,
  nlag = 1
)

Arguments

ModelParaPE	List of point estimates of the model parameter
residPdynOriginal	Time-series of the residuals from the P-dynamics equation (T x F)
residYieOriginal	Time-series of the residuals from the observational equation (T x J or T x CJ)
ModelType	Desired model to be estimated
BFull	Matrix B of loadings (CJ x F or J x F)
InputsForOutputs	List containing the desired inputs for the construction
Economies	String-vector containing the names of the economies which are part of the economic system
FactorLabels	String-list based which contains the labels of all the variables present in the model
GVARlist	List of necessary inputs for the estimation of GVAR-based models
JLLlist	List of necessary inputs for the estimation of JLL-based models
WishBRW	Whether the user wishes to estimate the physical parameter model with the Bias correction model from BRW (2012) (see "Bias_Correc_VAR" function). Default is set to 0.
BRWlist	List of necessary inputs for performing the bias-corrected estimation (see "Bias_Correc_VAR" function)
nlag	Number of lags in the P-dynamics. Default is set to 1.

MultiATSM documentation built on April 4, 2025, 1:40 a.m.