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Please use this identifier to cite or link to this item: http://hdl.handle.net/10197/3530

Title: Dynamic trade execution : a grammatical evolution approach
Authors: Cui, Wei
Brabazon, Anthony
O'Neill, Michael
Keywords: Algorithmic trading
AT
Trade execution
Artificial stock market
Evolutionary computation
EC
Grammatical evolution
GE
Financial markets
Issue Date: Feb-2011
Publisher: Inderscience Enterprises
Citation: International Journal of Financial Markets and Derivatives
Abstract: Trade execution is concerned with the actual mechanics of buying or selling the desired amount of a financial instrument. Investors wishing to execute large orders face a tradeoff between market impact and opportunity cost. Trade execution strategies are designed to balance out these costs, thereby minimising total trading cost. Despite the importance of optimising the trade execution process, this is difficult to do in practice due to the dynamic nature of markets and due to our imperfect understanding of them. In this paper, we adopt a novel approach, combining an evolutionary methodology whereby we evolve high-quality trade execution strategies, with an agent-based artificial stock market, wherein the evolved strategies are tested. The evolved strategies are found to outperform a series of benchmark strategies and several avenues are suggested for future work.
URI: http://hdl.handle.net/10197/3530
ISSN: 1756-7130 (Print)
1756-7149 (Online)
Appears in Collections:FMC² Research Collection
Business Research Collection

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