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Learning Cancellation Strategies in a Continuous Double Auction Market

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  • Lucia Milone

    () (Dept. of Applied Mathematics, University Ca' Foscari of Venice)

Abstract

This paper deals with two different issues. On one side, it tries to determine if the equilibrium order placement strategies analytically derived in Foucault et al. (2005) are learnable by no-maximizing agents that update their strategies on the only base of their own past experience (via genetic algorithm). Results state outcome (but not strategic) equivalence. On the other side, it relaxes the assumption in the original model by Foucault for which cancellation is not allowed and evaluate market performance. Results are mixed; the introduction of a cancellation option turns out to be benecial dependently on the key determinants of the market dynamic (i.e., the arrival rate and the percentage of patient traders) and an additional setup variable: the initial level of order aggressiveness in the market.

Suggested Citation

  • Lucia Milone, 2010. "Learning Cancellation Strategies in a Continuous Double Auction Market," Working Papers 202, Department of Applied Mathematics, Universit√† Ca' Foscari Venezia.
  • Handle: RePEc:vnm:wpaper:202
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    More about this item

    Keywords

    market evaluation; market design; equilibrium strategies; order cancellation; genetic algorithms.;

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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