MultivariateHedgingPortfolio function

Multivariate Hedging Portfolio

Multivariate Hedging Portfolio

This function calculates the multivariate hedging portfolio of Cocca et al. (2024)

MultivariateHedgingPortfolio( x, H, method = c("cumsum", "cumprod"), statistics = c("Fisher", "Bartlett", "Fligner-Killeen", "Levene", "Brown-Forsythe"), metric = "StdDev", digit = 2 )

Arguments

  • x: zoo return matrix (in percentage)
  • H: Residual variance-covariance, correlation or pairwise connectedness matrix
  • method: Cumulative sum or cumulative product
  • statistics: Hedging effectiveness statistic
  • metric: Risk measure of Sharpe Ratio (StdDev, VaR, or CVaR)
  • digit: Number of decimal places

Returns

Get hedge ratios

Examples

data("g2020") fit = VAR(g2020, configuration=list(nlag=1)) mhp = MultivariateHedgingPortfolio(g2020/100, fit$Q) mhp$TABLE

References

Cocca, T., Gabauer, D., & Pomberger, S. (2024). Clean energy market connectedness and investment strategies: New evidence from DCC-GARCH R2 decomposed connectedness measures. Energy Economics.

Ederington, L. H. (1979). The hedging performance of the new futures markets. The Journal of Finance, 34(1), 157-170.

Antonakakis, N., Cunado, J., Filis, G., Gabauer, D., & de Gracia, F. P. (2020). Oil and asset classes implied volatilities: Investment strategies and hedging effectiveness. Energy Economics, 91, 104762.

Author(s)

David Gabauer

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

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