AdjustedSharpeRatio: Adjusted Sharpe ratio of the return distribution

In PerformanceAnalytics: Econometric Tools for Performance and Risk Analysis

Adjusted Sharpe ratio of the return distribution

Description

Adjusted Sharpe ratio was introduced by Pezier and White (2006) to adjusts for skewness and kurtosis by incorporating a penalty factor for negative skewness and excess kurtosis.

Usage

AdjustedSharpeRatio(R, Rf = 0, ...)

Arguments

R	an xts, vector, matrix, data frame, timeSeries or zoo object of asset returns
Rf	the risk free rate
...	any other passthru parameters

Details

Adjusted Sharpe Ratio = SR * [1 + (\frac{S}{6}) * SR - (\frac{K - 3}{24}) * SR^2]

where SR is the sharpe ratio with data annualized, S is the skewness and K is the kurtosis

Author(s)

Matthieu Lestel, Brian G. Peterson

References

Carl Bacon, Practical portfolio performance measurement and attribution, second edition 2008 p.99

Pezier, Jaques and White, Anthony. 2006. The Relative Merits of Investable Hedge Fund Indices and of Funds of Hedge Funds in Optimal Passive Portfolios. https://econpapers.repec.org/paper/rdgicmadp/icma-dp2006-10.htm

See Also

SharpeRatio.annualized

Examples

data(portfolio_bacon)
print(AdjustedSharpeRatio(portfolio_bacon[,1])) #expected 0.7591435

data(managers)
print(AdjustedSharpeRatio(managers['1996']))

PerformanceAnalytics documentation built on April 4, 2025, 12:39 a.m.