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Optimal Order Submission Strategies in an Order-driven Market

According to the empirical findings from evolution of liquidity, this dissertation constructs an optimal order submission strategy model within which a mixture of market and limit orders can be submitted by both informed and uninformed traders. In the Stacklberg Game Model, informed traders with short-lived private information are regarded as leaders, and uniformed traders with learning behaviors are referred as followers. Our theoretical findings conclude as follows: Firstly, the order strategies of all traders can be characterized as coming under one of seven regimes, pure market buy orders, a combination of market and limit buy orders, pure limit buy orders, a combination of limit buy and limit sell orders, pure limit sell orders, a combination of market and limit sell orders, and pure market sell orders. Traders will select their optimal trading strategy according to the regime within which their liquidation value falls. Parlour (1998) is a special case of this study. Secondly, an increase (reduction) in liquidation value will result in a non-linear increase in the optimal proportion of market order submissions by buyers (sellers). Thirdly, the probability of submitting limit orders for uniformed traders increases when information traders get large profit from the private information. The extreme case is uniformed traders only submit limit orders. This result is consistent with Foucault (1999). Fourthly, the price interval will be much wider when limit orders are submitted by uniformed traders than by informed traders. The reasons are that uniformed traders have no private information and that they are high risk aversion. Finally, numerical illustrations confirm the reliability of this model.

Identiferoai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0901110-211355
Date01 September 2010
CreatorsHsin, Pei-Han
ContributorsJen -Tsung Huang, Feng-Yu Ni, An-Lin Chen, Chen-Yuan Chen, Chin-Shun Wu, Chu-Shiung Lin
PublisherNSYSU
Source SetsNSYSU Electronic Thesis and Dissertation Archive
LanguageEnglish
Detected LanguageEnglish
Typetext
Formatapplication/pdf
Sourcehttp://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0901110-211355
Rightsnot_available, Copyright information available at source archive

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