Agnostic Risk Parity: Taming Known and Unknown-Unknowns

27 October 2016

Social sharing

Share via Twitter Share via LinkedIn Share via Email

Markowitz' celebrated optimal portfolio theory generally fails to deliver out-of-sample diversification. In this note, we propose a new portfolio construction strategy based on symmetry arguments only, leading to 'Eigenrisk Parity' portfolios that achieve equal realised risk on all the principal components of the covariance matrix. This holds true for any other definition of uncorrelated factors. We then specialise our general formula to the most agnostic case where the indicators of future returns are assumed to be uncorrelated and of equal variance. This 'Agnostic Risk Parity' (AGP) portfolio minimises unknown-unknown risks generated by over-optimistic hedging of the different bets. AGP is shown to fare quite well when applied to standard technical strategies such as trend following.

Authors

Raphael Benichou , Yves Lempérière , Emmanuel Sérié , Julien Kockelkoren , Marc Potters , Philip Seager , Jean-Philippe Bouchaud