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arxiv: 1407.4614 · v4 · pith:PLP6JAESnew · submitted 2014-07-17 · 💱 q-fin.TR · math.OC

A convex duality method for optimal liquidation with participation constraints

classification 💱 q-fin.TR math.OC
keywords methodoptimalappliedconstraintsconvexdualityexecutionnumerical
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In spite of the growing consideration for optimal execution in the financial mathematics literature, numerical approximations of optimal trading curves are almost never discussed. In this article, we present a numerical method to approximate the optimal strategy of a trader willing to unwind a large portfolio. The method we propose is very general as it can be applied to multi-asset portfolios with any form of execution costs, including a bid-ask spread component, even when participation constraints are imposed. Our method, based on convex duality, only requires Hamiltonian functions to have $C^{1,1}$ regularity while classical methods require additional regularity and cannot be applied to all cases found in practice.

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