Modigliani: Modigliani-Modigliani measure

In guillermozbta/portafolio-master: Econometric tools for performance and risk analysis.

Description

The Modigliani-Modigliani measure is the portfolio return adjusted upward or downward to match the benchmark's standard deviation. This puts the portfolio return and the benchmark return on 'equal footing' from a standard deviation perspective.

MMp = SRp * sigmab + E[Rf]

where SRp - Sharpe ratio, sigmab - benchmark standard deviation

Usage

Modigliani(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 passthrough parameters

Details

This is also analogous to some approaches to 'risk parity' portfolios, which use (presumably costless) leverage to increase the portfolio standard deviation to some target.

Author(s)

Andrii Babii, Brian G. Peterson

References

J. Christopherson, D. Carino, W. Ferson. Portfolio Performance Measurement and Benchmarking. 2009. McGraw-Hill, p. 97-99.
Franco Modigliani and Leah Modigliani, "Risk-Adjusted Performance: How to Measure It and Why," Journal of Portfolio Management, vol.23, no., Winter 1997, pp.45-54

See Also

SharpeRatio, TreynorRatio

Examples

data(managers)
Modigliani(managers[,1,drop=FALSE], managers[,8,drop=FALSE], Rf=.035/12)
Modigliani(managers[,1:6], managers[,8,drop=FALSE], managers[,8,drop=FALSE])
Modigliani(managers[,1:6], managers[,8:7], managers[,8,drop=FALSE])

guillermozbta/portafolio-master documentation built on May 11, 2019, 7:20 p.m.