Abstract

http://ssrn.com/abstract=1678758
 
 

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Empirical Limitations on High Frequency Trading Profitability


Michael Kearns


University of Pennsylvania

Alex Kulesza


University of Pennsylvania

Yuriy Nevmyvaka


University of Pennsylvania

September 17, 2010


Abstract:     
Addressing the ongoing examination of high-frequency trading practices in financial markets, we report the results of an extensive empirical study estimating the maximum possible profitability of the most aggressive such practices, and arrive at figures that are surprisingly modest. By "aggressive" we mean any trading strategy exclusively employing market orders and relatively short holding periods. Our findings highlight the tension between execution costs and trading horizon confronted by high-frequency traders, and provide a controlled and large-scale empirical perspective on the high-frequency debate that has heretofore been absent. Our study employs a number of novel empirical methods, including the simulation of an "omniscient" high-frequency trader who can see the future and act accordingly.

Number of Pages in PDF File: 15

Keywords: Computational Finance, Market Microstructure

JEL Classification: C80, C87, D40, G10

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Date posted: September 22, 2010  

Suggested Citation

Kearns, Michael and Kulesza, Alex and Nevmyvaka, Yuriy, Empirical Limitations on High Frequency Trading Profitability (September 17, 2010). Available at SSRN: http://ssrn.com/abstract=1678758 or http://dx.doi.org/10.2139/ssrn.1678758

Contact Information

Michael Kearns
University of Pennsylvania ( email )
Philadelphia, PA 19104-6370
United States
Alex Kulesza (Contact Author)
University of Pennsylvania ( email )
Philadelphia, PA 19104
United States
Yuriy Nevmyvaka
University of Pennsylvania ( email )
Philadelphia, PA 19104
United States
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