ExtendedJointConnectedness: Balcilar et al. (2021) extended joint connectedness approach
In ConnectednessApproach: Connectedness Approach

View source: R/ExtendedJointConnectedness.R

ExtendedJointConnectedness

R Documentation

Balcilar et al. (2021) extended joint connectedness approach

Description

This function provides extended joint connectedness measures.

Usage

ExtendedJointConnectedness(Phi, Sigma, nfore = 10)

Arguments

`Phi`	VAR coefficient matrix
`Sigma`	Residual variance-covariance matrix
`nfore`	H-step ahead forecast horizon

Value

Get connectedness measures

Author(s)

David Gabauer

References

Balcilar, M., Gabauer, D., & Umar, Z. (2021). Crude Oil futures contracts and commodity markets: New evidence from a TVP-VAR extended joint connectedness approach. Resources Policy, 73, 102219.

Examples


#Replication of Balcilar et al. (2021)
data("bgu2021")
fit = VAR(bgu2021, configuration=list(nlag=1))
dca = ExtendedJointConnectedness(Phi=fit$B, Sigma=fit$Q, nfore=20)
dca$TABLE

ConnectednessApproach documentation built on June 22, 2024, 10:22 a.m.