Selectivity {PerformanceAnalytics}

Selectivity of the return distribution

Description

Selectivity is the same as Jensen's alpha

Usage

Selectivity(Ra, Rb, Rf = 0, ...)

Arguments

Ra

an xts, vector, matrix, data frame, timeSeries or zoo object of asset returns

Rb

return vector of the benchmark asset

Rf

risk free rate, in same period as your returns

...

any other passthru parameters

Details

Selectivity = r_p - r_f - \beta_p * (b - r_f)

where r_f is the risk free rate, \beta_r is the regression beta, r_p is the portfolio return and b is the benchmark return

Author(s)

Matthieu Lestel

References

Carl Bacon, Practical portfolio performance measurement and attribution, second edition 2008 p.78

Examples

data(portfolio_bacon)
print(Selectivity(portfolio_bacon[,1], portfolio_bacon[,2])) #expected -0.0141

data(managers)
print(Selectivity(managers['1996',1], managers['1996',8]))
print(Selectivity(managers['1996',1:5], managers['1996',8]))