A risk-based approach to construct multi asset portfolio solutions

Peter Warken and Christian Hille

Journal of Investment Strategies

Abstract: 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.

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Persistent link: https://EconPapers.repec.org/RePEc:rsk:journ6:5443211

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