AdjustedSharpeRatio: Adjusted Sharpe ratio of the return distribution

In tsungwu/JFE: Tools and GUI for Analyzing Time Series Data of Just Finance and Econometrics

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, FUN = "StdDev",...)

Arguments

R	an xts, vector, matrix, data frame, timeSeries or zoo object of asset returns
Rf	the risk free rate
FUN	one of "StdDev" or "VaR" or "ES" to use as the denominator for unadjusted Sharpe ratio, default="StdDev"
...	any other pass through parameters

Details

Adjusted Sharpe ratio = SR x [1 + (S/6) x SR - ((K-3) / 24) x SR^2]

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

Author(s)

Ho Tsung-wu <[e-mail]>, College of Management, National Taiwan Normal University.

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. Check https://econpapers.repec.org/paper/rdgicmadp/icma-dp2006-10.htm
See also package PerformanceAnalytics.

See Also

SharpeRatio.annualized

Examples

    data(assetReturns)

AdjustedSharpeRatio(assetReturns)

tsungwu/JFE documentation built on May 10, 2022, 1:22 p.m.