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Capability satisficing in high frequency trading

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  • Van Vliet, Ben

Abstract

This paper explains the capability theory of how HFT firms make allocation decisions under uncertainty, and shows how capability maximization is precisely consistent with utility theory. The issue, however, is how these firms actually make allocation decisions in practice. Using the Gioia methodology, this paper presents evidence from interviews with HFT professionals and specialist media that suggest that these firms are capability satisficers. Capability theory is also consistent with bounded rationality and the adaptive markets hypothesis, and defines the point at which these firms reach a satisfactory solution. Thus, capability reconciles mainstream theory and the more realistic, behavioral theories based on observation of industry practice. The methodology developed can be applied to any firm that makes algorithmic decisions under uncertainty.

Suggested Citation

  • Van Vliet, Ben, 2017. "Capability satisficing in high frequency trading," Research in International Business and Finance, Elsevier, vol. 42(C), pages 509-521.
  • Handle: RePEc:eee:riibaf:v:42:y:2017:i:c:p:509-521
    DOI: 10.1016/j.ribaf.2017.03.002
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    1. Glosten, Lawrence R, 1987. "Components of the Bid-Ask Spread and the Statistical Properties of Transaction Prices," Journal of Finance, American Finance Association, vol. 42(5), pages 1293-1307, December.
    2. Michael T. Pich & Christoph H. Loch & Arnoud De Meyer, 2002. "On Uncertainty, Ambiguity, and Complexity in Project Management," Management Science, INFORMS, vol. 48(8), pages 1008-1023, August.
    3. Ali E. Abbas & James E. Matheson & Robert F. Bordley, 2009. "Effective utility functions induced by organizational target-based incentives," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 30(4), pages 235-251.
    4. Schwartz, Hugh, 2002. "Herbert Simon and behavioral economics," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 31(3), pages 181-189.
    5. David B. Brown & Enrico De Giorgi & Melvyn Sim, 2012. "Aspirational Preferences and Their Representation by Risk Measures," Management Science, INFORMS, vol. 58(11), pages 2095-2113, November.
    6. J. Doyne Farmer, 2002. "Market force, ecology and evolution," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 11(5), pages 895-953, November.
    7. David B. Brown & Melvyn Sim, 2009. "Satisficing Measures for Analysis of Risky Positions," Management Science, INFORMS, vol. 55(1), pages 71-84, January.
    8. Benos, Evangelos & Brugler, James & Hjalmarsson, Erik & Zikes, Filip, 2017. "Interactions among High-Frequency Traders," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 52(4), pages 1375-1402, August.
    9. J. Doyne Farmer & Andrew W. Lo, 1999. "Frontiers of Finance: Evolution and Efficient Markets," Working Papers 99-06-039, Santa Fe Institute.
    10. J. Doyne Farmer & Spyros Skouras, 2013. "An ecological perspective on the future of computer trading," Quantitative Finance, Taylor & Francis Journals, vol. 13(3), pages 325-346, February.
    11. Day, Richard H & Aigner, Dennis J & Smith, Kenneth R, 1971. "Safety Margins and Profit Maximization in the Theory of the Firm," Journal of Political Economy, University of Chicago Press, vol. 79(6), pages 1293-1301, Nov.-Dec..
    12. repec:dau:papers:123456789/11664 is not listed on IDEAS
    13. Easley, David & O'Hara, Maureen, 1987. "Price, trade size, and information in securities markets," Journal of Financial Economics, Elsevier, vol. 19(1), pages 69-90, September.
    14. Grossman, Sanford J & Stiglitz, Joseph E, 1980. "On the Impossibility of Informationally Efficient Markets," American Economic Review, American Economic Association, vol. 70(3), pages 393-408, June.
    15. 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.
    16. Hasbrouck, Joel & Saar, Gideon, 2013. "Low-latency trading," Journal of Financial Markets, Elsevier, vol. 16(4), pages 646-679.
    17. Fox, Craig R. & Weber, Martin, 2002. "Ambiguity Aversion, Comparative Ignorance, and Decision Context," Organizational Behavior and Human Decision Processes, Elsevier, vol. 88(1), pages 476-498, May.
    18. Pulley, Lawrence B., 1981. "A General Mean-Variance Approximation to Expected Utility for Short Holding Periods," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 16(3), pages 361-373, September.
    19. Jasmina Hasanhodzic & Andrew Lo & Emanuele Viola, 2011. "A computational view of market efficiency," Quantitative Finance, Taylor & Francis Journals, vol. 11(7), pages 1043-1050.
    20. Yi-Cheng Zhang, 1999. "Toward a Theory of Marginally Efficient Markets," Papers cond-mat/9901243, arXiv.org.
    21. Mao, James C T, 1970. "Survey of Capital Budgeting: Theory and Practice," Journal of Finance, American Finance Association, vol. 25(2), pages 349-360, May.
    22. Thomas J Brennan & Andrew W Lo, 2012. "An Evolutionary Model of Bounded Rationality and Intelligence," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-8, November.
    23. Zhang, Yi-Cheng, 1999. "Toward a theory of marginally efficient markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 269(1), pages 30-44.
    24. Robert F. Bordley & Craig W. Kirkwood, 2004. "Multiattribute Preference Analysis with Performance Targets," Operations Research, INFORMS, vol. 52(6), pages 823-835, December.
    25. William Fellner, 1948. "Average-Cost Pricing and the Theory of Uncertainty," Journal of Political Economy, University of Chicago Press, vol. 56(3), pages 249-249.
    26. Svenja C. Sommer & Christoph H. Loch, 2004. "Selectionism and Learning in Projects with Complexity and Unforeseeable Uncertainty," Management Science, INFORMS, vol. 50(10), pages 1334-1347, October.
    27. Heath, Chip & Tversky, Amos, 1991. "Preference and Belief: Ambiguity and Competence in Choice under Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 4(1), pages 5-28, January.
    28. Hoffmann, Peter, 2014. "A dynamic limit order market with fast and slow traders," Journal of Financial Economics, Elsevier, vol. 113(1), pages 156-169.
    29. Hans FÃllmer & Peter Leukert, 1999. "Quantile hedging," Finance and Stochastics, Springer, vol. 3(3), pages 251-273.
    30. Andrew Kumiega & Thaddeus Neururer & Ben Van Vliet, 2014. "Trading system capability," Quantitative Finance, Taylor & Francis Journals, vol. 14(3), pages 383-392, March.
    31. John W. Payne & Dan J. Laughhunn & Roy Crum, 1981. "Note---Further Tests of Aspiration Level Effects in Risky Choice Behavior," Management Science, INFORMS, vol. 27(8), pages 953-958, August.
    32. Cooper, Ricky & Ong, Michael & Van Vliet, Ben, 2015. "Multi-scale capability: A better approach to performance measurement for algorithmic trading," Algorithmic Finance, IOS Press, vol. 4(1-2), pages 53-68.
    33. Norman Dalkey & Olaf Helmer, 1963. "An Experimental Application of the DELPHI Method to the Use of Experts," Management Science, INFORMS, vol. 9(3), pages 458-467, April.
    34. John W. Payne & Dan J. Laughhunn & Roy Crum, 1980. "Translation of Gambles and Aspiration Level Effects in Risky Choice Behavior," Management Science, INFORMS, vol. 26(10), pages 1039-1060, October.
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    Cited by:

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    3. Sánchez Serrano Antonio, 2020. "High-Frequency Trading and Systemic Risk: A Structured Review of Findings and Policies," Review of Economics, De Gruyter, vol. 71(3), pages 169-195, December.

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