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Computational speed and high-frequency trading profitability: an ecological perspective

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  • Alexandru-Ioan Stan

    (Babes-Bolyai University)

Abstract

High-frequency traders (HFTs) account for a considerable component of equity trading but we know little about the source of their trading profits and to what extend IT based differentiators such as news processing power and ultra-low latency has contributed to competitive advantage within HFT realm. Given a fairly modest amount of empirical evidence on the subject, we study the effects of computational speed on HFTs’ profits through an experimental artificial agent-based equity market. Our approach relies on an ecological modelling inspired from the r/K selection theory, and is designed to assess the relative financial performance of two classes of aggressive HFT agents endowed with dissimilar computational capabilities. We use a discrete-event news simulation system to capture the information processing disparity and order transfer delay, and simulate the dynamics of the market. Through Monte Carlo simulation we obtain in our empirical setting robust estimates of the expected outcome.

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  • Alexandru-Ioan Stan, 2018. "Computational speed and high-frequency trading profitability: an ecological perspective," Electronic Markets, Springer;IIM University of St. Gallen, vol. 28(3), pages 381-395, August.
    • Handle: RePEc:spr:elmark:v:28:y:2018:i:3:d:10.1007_s12525-017-0264-3
    DOI: 10.1007/s12525-017-0264-3
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    1. Ciamac C. Moallemi & Mehmet Sağlam, 2013. "OR Forum---The Cost of Latency in High-Frequency Trading," Operations Research, INFORMS, vol. 61(5), pages 1070-1086, October.
    2. J. Dugast & T. Foucault, 2014. "False News, Informational Efficiency, and Price Reversals," Working papers 513, Banque de France.
    3. Berndt, Ernst R. & Morrison, Catherine J., 1995. "High-tech capital formation and economic performance in U.S. manufacturing industries An exploratory analysis," Journal of Econometrics, Elsevier, vol. 65(1), pages 9-43, January.
    4. Martin Neil Baily & Robert J. Gordon, 1988. "The Productivity Slowdown, Measurement Issues, and the Explosion of Computer Power," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 19(2), pages 347-432.
    5. Donald Siegel & Zvi Griliches, 1992. "Purchased Services, Outsourcing, Computers, and Productivity in Manufacturing," NBER Chapters, in: Output Measurement in the Service Sectors, pages 429-460, National Bureau of Economic Research, Inc.
    6. Anitesh Barua & Charles H. Kriebel & Tridas Mukhopadhyay, 1995. "Information Technologies and Business Value: An Analytic and Empirical Investigation," Information Systems Research, INFORMS, vol. 6(1), pages 3-23, March.
    7. Carrion, Allen, 2013. "Very fast money: High-frequency trading on the NASDAQ," Journal of Financial Markets, Elsevier, vol. 16(4), pages 680-711.
    8. Zvi Griliches, 1992. "Introduction to "Output Measurement in the Service Sectors"," NBER Chapters, in: Output Measurement in the Service Sectors, pages 1-22, National Bureau of Economic Research, Inc.
    9. Erik Brynjolfsson, 1994. "Some Estimates of the Contribution of Information Technology to Consumer Welfare," Working Paper Series 161, MIT Center for Coordination Science.
    10. Michael Kearns & Alex Kulesza & Yuriy Nevmyvaka, 2010. "Empirical Limitations on High Frequency Trading Profitability," Papers 1007.2593, arXiv.org, revised Sep 2010.
    11. Bresnahan, Timothy F, 1986. "Measuring the Spillovers from Technical Advance: Mainframe Computers inFinancial Services," American Economic Review, American Economic Association, vol. 76(4), pages 742-755, September.
    12. Richard Bookstaber & Mark Paddrik, 2015. "An Agent-Based Model of Liquidity," Working Papers 15-18, Office of Financial Research, US Department of the Treasury.
    13. Colander,David (ed.), 2006. "Post Walrasian Macroeconomics," Cambridge Books, Cambridge University Press, number 9780521865487.
    14. Koski, Heli, 1999. "The implications of network use, production network externalities and public networking programmes for firm's productivity," Research Policy, Elsevier, vol. 28(4), pages 423-439, April.
    15. Zvi Griliches, 1992. "Output Measurement in the Service Sectors," NBER Books, National Bureau of Economic Research, Inc, number gril92-1, July.
    16. Kauffman, Robert J. & Liu, Jun & Ma, Dan, 2015. "Innovations in financial IS and technology ecosystems: High-frequency trading in the equity market," Technological Forecasting and Social Change, Elsevier, vol. 99(C), pages 339-354.
    17. William Lehr & Frank R. Lichtenberg, 1998. "Computer Use and Productivity Growth in US Federal Government Agencies, 1987–92," Journal of Industrial Economics, Wiley Blackwell, vol. 46(2), pages 257-279, June.
    18. de Jong,Frank & Rindi,Barbara, 2009. "The Microstructure of Financial Markets," Cambridge Books, Cambridge University Press, number 9780521867849.
    19. Menkveld, Albert J., 2013. "High frequency trading and the new market makers," Journal of Financial Markets, Elsevier, vol. 16(4), pages 712-740.
    20. Jonathan Brogaard & Terrence Hendershott & Ryan Riordan, 2014. "High-Frequency Trading and Price Discovery," The Review of Financial Studies, Society for Financial Studies, vol. 27(8), pages 2267-2306.
    21. Kraemer, Kenneth L. & Dedrick, Jason, 1994. "Payoffs from investment in information technology: Lessons from the Asia-Pacific region," World Development, Elsevier, vol. 22(12), pages 1921-1931, December.
    22. Lehr, William & Lichtenberg, Frank R, 1998. "Computer Use and Productivity Growth in US Federal Government Agencies, 1987-92," Journal of Industrial Economics, Wiley Blackwell, vol. 46(2), pages 257-279, June.
    23. O’Hara, Maureen, 2015. "High frequency market microstructure," Journal of Financial Economics, Elsevier, vol. 116(2), pages 257-270.
    24. Hagströmer, Björn & Nordén, Lars, 2013. "The diversity of high-frequency traders," Journal of Financial Markets, Elsevier, vol. 16(4), pages 741-770.
    25. J. Yannis Bakos, 1997. "Reducing Buyer Search Costs: Implications for Electronic Marketplaces," Management Science, INFORMS, vol. 43(12), pages 1676-1692, December.
    26. Maryellen R. Kelley, 1994. "Productivity and Information Technology: The Elusive Connection," Management Science, INFORMS, vol. 40(11), pages 1406-1425, November.
    27. Colander,David (ed.), 2006. "Post Walrasian Macroeconomics," Cambridge Books, Cambridge University Press, number 9780521684200.
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    2. Rainer Alt, 2020. "Electronic Markets on sustainability," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(4), pages 667-674, December.

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