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Optimal Execution for Uncertain Market Impact: Derivation and Characterization of a Continuous-Time Value Function

Kensuke Ishitani and Takashi Kato

Chapter 5 in Recent Advances in Financial Engineering 2012:Proceedings of the International Workshop on Finance 2012, 2014, pp 93-116 from World Scientific Publishing Co. Pte. Ltd.

Abstract: In this paper, we study an optimal execution problem in the case of uncertainty in market impact to derive a more realistic market model. Our model is a generalized version of that in [6], where a model of optimal execution with deterministic market impact was formulated. First, we construct a discrete-time model as a value function of an optimal execution problem. We express the market impact function as a product of a deterministic part (an increasing function with respect to the trader's execution volume) and a noise part (a positive random variable). Then, we derive a continuous-time model as a limit of a discrete-time value function. We find that the continuous-time value function is characterized by an optimal control problem with a Lévy process and investigate some of its properties, which are mathematical generalizations of the results in [6]. We also consider a typical example of the execution problem for a risk-neutral trader under log-linear/quadratic market impact with Gamma-distributed noise.

Keywords: Financial Engineering; Mathematical Finance; Money & Banking; Risk Management; Real Option; Corporate Finance; Computational Finance (search for similar items in EconPapers)
Date: 2014
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