Abstract: Highlights•A structured non-convex optimization problem is formulated.•A parallel approximation framework to solve the non-convex problem is proposed.•The proposed method converges to higher quality solutions than state-of-art methods.•Risk parity portfolio that can consistently outperform the benchmark is constructed.
External IDs:dblp:journals/pc/ChenLHL23
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