Trading with market resistance and concave price impact
Nathan De Carvalho, Youssef Ouazzani Chahdi, and Gr\'egoire Szymanski

TL;DR
This paper develops a model for optimal trading that accounts for endogenous market resistance and price overreactions, deriving equations for optimal strategies and proposing an iterative solution method validated by numerical experiments.
Contribution
It introduces a novel market impact model with endogenous resistance, deriving a nonlinear Fredholm equation for optimal strategies and providing an iterative solution approach.
Findings
Existence and uniqueness of optimal strategies under linear resistance.
An iterative scheme converging exponentially to the solution.
Numerical experiments illustrating strategies under various resistance profiles.
Abstract
We consider an optimal trading problem under a market impact model with endogenous market resistance generated by a sophisticated trader who (partially) detects metaorders and trades against them to exploit price overreactions induced by the order flow. The model features a concave transient impact driven by a power-law propagator with a resistance term responding to the trader's rate via a fixed-point equation involving a general resistance function. We derive a (non)linear stochastic Fredholm equation as the first-order optimality condition satisfied by optimal trading strategies. Existence and uniqueness of the optimal control are established when the resistance function is linear, and an existence result is obtained when it is strictly convex using coercivity and weak lower semicontinuity of the associated profit-and-loss functional. We also propose an iterative scheme to solve the…
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Taxonomy
TopicsStochastic processes and financial applications · Financial Markets and Investment Strategies · Game Theory and Applications
