A new spin on optimal portfolios and ecological equilibria

Abstract

We consider the classical problem of optimal portfolio construction with the constraint that no short position is allowed, or equivalently the valid equilibria of multispecies Lotka-Volterra equations with self-regulation in the special case where the interaction matrix is of unit rank, corresponding to species competing for a common resource. We compute the average number of solutions and show that its logarithm grows as $N^{\alpha }$, where $N$ is the number of assets or species and $\alpha \le 2/3$ depends on the interaction matrix distribution. We conjecture that the most likely number of solutions is much smaller and related to the typical sparsity $m(N)$ of the solutions, which we compute explicitly. We also find that the solution landscape is similar to that of spin-glasses, i.e. very different configurations are quasi-degenerate. Correspondingly, "disorder chaos" is also present in our problem. We discuss the consequence of such a property for portfolio construction and ecologies, and question the meaning of rational decisions when there is a very large number "satisficing" solutions.

arXiv comment37 pages, 7 figures

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Cited by in corpus (3)

• Generalized Lotka-Volterra equations with random, non-reciprocal interactions: the typical number of equilibria
• Quenched complexity of equilibria for asymmetric Generalized Lotka-Volterra equations
• Unlearnable Games and "Satisficing'' Decisions: A Simple Model for a Complex World