RiskParityPortfolio {ConnectednessApproach} | R Documentation |
Minimum connectedness portfolio
Description
This function calculates the minimum connectedness portfolio
Usage
RiskParityPortfolio(
x,
H,
method = c("cumsum", "cumprod"),
statistics = c("Fisher", "Bartlett", "Fligner-Killeen", "Levene", "Brown-Forsythe"),
long = TRUE,
metric = "StdDev",
digit = 2
)
Arguments
x |
zoo return matrix (in percentage) |
H |
Pairwise connectedness matrix or alternatively variance-covariance or correlation matrix |
method |
Cumulative sum or cumulative product |
statistics |
Hedging effectiveness statistic |
long |
Allow only long portfolio position |
metric |
Risk measure of Sharpe Ratio (StdDev, VaR, or CVaR) |
digit |
Number of decimal places |
Value
Get portfolio weights
Author(s)
David Gabauer
References
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.
Examples
data("g2020")
fit = VAR(g2020, configuration=list(nlag=1))
mcp = RiskParityPortfolio(g2020/100, fit$Q, statistics="Fisher")
mcp$TABLE
[Package ConnectednessApproach version 1.0.3 Index]