Journal of Investment Strategies

A risk-based approach to construct multi asset portfolio solutions

Peter Warken and Christian Hille

  • The authors introduce a robust, risk-based optimization approach to create truly diversified allocations.
  • The methodology focuses on the risk contribution of clusters of assets to the overall portfolio.
  • The framework allows to design solutions that are aligned with clients' needs and targets.
  • The approach could be leveraged to create cross asset risk factor or smart beta strategies.

In this paper, we introduce a robust, risk-based optimization routine to create allocations that are truly diversified, with less extreme weights and risk allocations, as well as a higher number of uncorrelated exposures. The framework allows us to design, build and analyze solutions that are aligned with clients’ specific investment needs and their desired risk profile. We combine simple yet profound elements of graph theory and machine learning with more traditional optimization methods to build a diversified portfolio based on the information contained in the correlation matrix.

Sorry, our subscription options are not loading right now

Please try again later. Get in touch with our customer services team if this issue persists.

New to View our subscription options

You need to sign in to use this feature. If you don’t have a account, please register for a trial.

Sign in
You are currently on corporate access.

To use this feature you will need an individual account. If you have one already please sign in.

Sign in.

Alternatively you can request an individual account here