On continuous time trading of a small investor in a limit order market

  • We provide a mathematical framework to model continuous time trading in limit order markets of a small investor whose transactions have no impact on order book dynamics. The investor can continuously place market and limit orders. A market order is executed immediately at the best currently available price, whereas a limit order is stored until it is executed at its limit price or canceled. The limit orders can be chosen from a continuum of limit prices. In this framework we show how elementary strategies (hold limit orders with only finitely many different limit prices and rebalance at most finitely often) can be extended in a suitable way to general continuous time strategies containing orders with infinitely many different limit prices. The general limit buy order strategies are predictable processes with values in the set of nonincreasing demand functions (not necessarily left- or right-continuous in the price variable). It turns out that this family of strategies is closed and any element can be approximated by a sequence of elementary strategies. Furthermore, we study Merton’s portfolio optimization problem in a specific instance of this framework. Assuming that the risky asset evolves according to a geometric Brownian motion, a proportional bid-ask spread, and Poisson execution times for the limit orders of the small investor, we show that the optimal strategy consists in using market orders to keep the proportion of wealth invested in the risky asset within certain boundaries, similar to the result for proportional transaction costs, while within these boundaries limit orders are used to profit from the bid-ask spread.

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Metadaten
Author:Maximilian Stroh
URN:urn:nbn:de:hebis:30:3-242958
Referee:Christoph Kühn, Johannes Muhle-Karbe, Götz KerstingGND
Advisor:Christoph Kühn
Document Type:Doctoral Thesis
Language:English
Date of Publication (online):2012/02/19
Year of first Publication:2012
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Granting Institution:Johann Wolfgang Goethe-Universität
Date of final exam:2012/02/17
Release Date:2012/02/24
Tag:limit order markets; portfolio optimization; random measures; shadow price; trading strategies
Page Number:124
HeBIS-PPN:290260132
Institutes:Informatik und Mathematik / Mathematik
Dewey Decimal Classification:5 Naturwissenschaften und Mathematik / 51 Mathematik / 510 Mathematik
Sammlungen:Universitätspublikationen
Licence (German):License LogoDeutsches Urheberrecht