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Optimal execution strategies in limit order books with general shape functions
Alfonsi A., Fruth A., Schied A.
Quantitative Finance 10, 2 (2010) 143-157 - http://hal.archives-ouvertes.fr/hal-00166969
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Mathématiques/Probabilités
Optimal execution strategies in limit order books with general shape functions
Aurélien Alfonsi () 1, Antje Fruth () 2, Alexander Schied () 3
1 :  Centre d'Enseignement et de Recherche en Mathématiques, Informatique et Calcul Scientifique (CERMICS)
http://cermics.enpc.fr/
INRIA – Ecole des Ponts ParisTech
6 et 8 avenue Blaise Pascal Cité Descartes - Champs sur Marne 77455 Marne la Vallée Cedex 2
France
2 :  Quantative Products Laboratory
Deutsche Bank
Alexanderstr. 5 10178 Berlin
Allemagne
3 :  Department of Mathematics
TU Berlin
Strasse des 17. Juni 136 10623 Berlin
Allemagne
We consider optimal execution strategies for block market orders placed in a limit order book (LOB). We build on the resilience model proposed by Obizhaeva and Wang (2005) but allow for a general shape of the LOB defined via a given density function. Thus, we can allow for empirically observed LOB shapes and obtain a nonlinear price impact of market orders. We distinguish two possibilities for modeling the resilience of the LOB after a large market order: the exponential recovery of the number of limit orders, i.e., of the volume of the LOB, or the exponential recovery of the bid-ask spread. We consider both of these resilience modes and, in each case, derive explicit optimal execution strategies in discrete time. Applying our results to a block-shaped LOB, we obtain a new closed-form representation for the optimal strategy, which explicitly solves the recursive scheme given in Obizhaeva and Wang (2005). We also provide some evidence for the robustness of optimal strategies with respect to the choice of the shape function and the resilience-type.
Anglais

Quantitative Finance
Publisher Taylor & Francis (Routledge)
ISSN 1469-7688 (eISSN : 1469-7696)
internationale
2010
10
2
143-157

Matheon, Mathfi, QP Lab
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