DocumentCode
393763
Title
Optimal trade execution of equities in a limit order market
Author
Coggins, Richard ; Blazejewski, Adam ; Aitken, Michael
Author_Institution
Sch. of Electr. & Inf. Eng., Sydney Univ., NSW, Australia
fYear
2003
fDate
20-23 March 2003
Firstpage
371
Lastpage
378
Abstract
The paper describes an approach for optimising trade execution in a limit order market. The way a trade is executed becomes important when the trade is a significant proportion of the day´s turnover in a particular security. Under these circumstances limited liquidity leads to a significant transaction cost referred to as trade shortfall. We describe a method for calculating a trade execution plan which balances intra-day variations in the supply of liquidity against the risk of adverse future price movements. Our trade execution plans correspond to solutions of discrete time dynamic programming problems. This formulation admits the specification of transaction costs within a Value at Risk framework. The trade execution plans are derived and tested for three popular stocks on the Australian Stock Exchange (ASX). The performance of the plans is evaluated on an out of sample test set of the limit order book for each security and compared to three simpler trade execution strategies.
Keywords
dynamic programming; stock markets; ASX; Australian Stock Exchange; Value at Risk framework; adverse future price movements; discrete time dynamic programming problems; dynamic programming; intra-day variations; limit order book; limit order market; limited liquidity; liquidity; optimal trade execution; sample test set; trade execution plan; trade execution plans; trade execution strategies; trade shortfall; transaction cost; transaction costs; Australia; Books; Costs; Finance; Forward contracts; Heuristic algorithms; Identity management systems; Portfolios; Security; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence for Financial Engineering, 2003. Proceedings. 2003 IEEE International Conference on
Print_ISBN
0-7803-7654-4
Type
conf
DOI
10.1109/CIFER.2003.1196284
Filename
1196284
Link To Document