Optimal Portfolio Choice with Cross-Impact Propagators

44 Pages Posted: 12 Apr 2024

See all articles by Eduardo Abi Jaber

Eduardo Abi Jaber

Ecole Polytechnique

Eyal Neuman

Imperial College London - Department of Mathematics

Sturmius Tuschmann

Imperial College London - Department of Mathematics

Date Written: March 14, 2024

Abstract

We consider a class of optimal portfolio choice problems in continuous time where the agent's transactions create both transient cross-impact driven by a matrix-valued Volterra propagator, as well as temporary price impact. We formulate this problem as the maximization of a revenue-risk functional, where the agent also exploits available information on a progressively measurable price predicting signal. We solve the maximization problem explicitly in terms of operator resolvents, by reducing the corresponding first order condition to a coupled system of stochastic Fredholm equations of the second kind and deriving its solution. We then give sufficient conditions on the matrix-valued propagator so that the model does not permit price manipulation. We also provide an implementation of the solutions to the optimal portfolio choice problem and to the associated optimal execution problem. Our solutions yield financial insights on the influence of cross-impact on the optimal strategies and its interplay with alpha decays.

Keywords: optimal portfolio choice, price impact, cross-impact, propagator models, predictive signals, Volterra stochastic control

JEL Classification: C02, C61, G11

Suggested Citation

Abi Jaber, Eduardo and Neuman, Eyal and Tuschmann, Sturmius, Optimal Portfolio Choice with Cross-Impact Propagators (March 14, 2024). Available at SSRN: https://ssrn.com/abstract=4759758 or http://dx.doi.org/10.2139/ssrn.4759758

Eduardo Abi Jaber (Contact Author)

Ecole Polytechnique ( email )

Eyal Neuman

Imperial College London - Department of Mathematics ( email )

South Kensington Campus
Imperial College
LONDON, SW7 2AZ
United Kingdom

Sturmius Tuschmann

Imperial College London - Department of Mathematics ( email )

South Kensington Campus
Imperial College
LONDON, SW7 2AZ
United Kingdom

HOME PAGE: http://tuschmann.github.io

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