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Optimal Dipslay of Iceberg Orders


Ulrich Horst


Humboldt University of Berlin

Gökhan Cebiroglu


Humboldt University of Berlin

February 1, 2012


Abstract:     
We develop a sequential trade model of Iceberg order execution in a limit order book. The Iceberg-trader has the freedom to expose his trading intentions or (partially) shield the true order size against other market participants. Order exposure can cause drastic market reactions (“market impact”) in the end leading to higher transaction costs. On the other hand the Iceberg trader faces a loss-in-priority when he hides his intentions, as most electronic limit order books penalize the usage of hidden liquidity. Thus the Iceberg-trader is faced with the problem to find the right trade-off. Our model provides optimal exposure strategies for Iceberg traders in limit order book markets. In particular, we provide a range of analytical statements that are in line with recent empirical findings on the determinants of trader’s exposure strategies. In this framework, we also study the market impact also market impact of limit orders. We provide optimal exposure profiles for a range of hightech stocks from the US S&P500 and how they scale with the state-of-the-book. We finally test the Iceberg’s performance against the limit orders and find that Iceberg orders can significantly enhance trade performance by up to 60%.

Number of Pages in PDF File: 38

Keywords: Hidden Liquidity, Iceberg Orders, Limit Order Book, Market Impact of Limit Orders

JEL Classification: C51, C60, C67, D01, D4, D49, G1

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Date posted: February 2, 2012  

Suggested Citation

Horst, Ulrich and Cebiroglu, Gökhan, Optimal Dipslay of Iceberg Orders (February 1, 2012). Available at SSRN: http://ssrn.com/abstract=1997092 or http://dx.doi.org/10.2139/ssrn.1997092

Contact Information

Ulrich Horst (Contact Author)
Humboldt University of Berlin ( email )
Spandauer Str. 1
Berlin, Berlin 10785
Germany
Gökhan Cebiroglu
Humboldt University of Berlin ( email )
Spandauer Str. 1
Berlin, Berlin 10785
Germany
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