ExtendedJointConnectedness function

Balcilar et al. (2021) extended joint connectedness approach

Balcilar et al. (2021) extended joint connectedness approach

This function provides extended joint connectedness measures.

ExtendedJointConnectedness(Phi, Sigma, nfore = 10)

Arguments

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

Returns

Get connectedness measures

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

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.

Author(s)

David Gabauer

  • Maintainer: David Gabauer
  • License: GPL-3
  • Last published: 2025-03-01

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