UpsideFrequency: upside frequency of the return distribution

Description Usage Arguments Details Author(s) References Examples

Description

To calculate Upside Frequency, we take the subset of returns that are more than the target (or Minimum Acceptable Returns (MAR)) returns and divide the length of this subset by the total number of returns.

Usage

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UpsideFrequency(R, MAR = 0, ...)

Arguments

R

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

MAR

Minimum Acceptable Return, in the same periodicity as your returns

...

any other passthru parameters

Details

UpsideFrequency(R, MAR) = length(subset of returns above MAR) / length(total returns)

where n is the number of observations of the entire series

Author(s)

Matthieu Lestel

References

Carl Bacon, Practical portfolio performance measurement and attribution, second edition 2008 p.94

Examples

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data(portfolio_bacon)
MAR = 0.005
print(UpsideFrequency(portfolio_bacon[,1], MAR)) #expected 0.542

data(managers)
print(UpsideFrequency(managers['1996']))
print(UpsideFrequency(managers['1996',1])) #expected 0.75


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