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Speed Acquisition

Author

Listed:
  • Shiyang Huang

    (Faculty of Business and Economics, The University of Hong Kong, Hong Kong)

  • Bart Zhou Yueshen

    (INSEAD, Singapore, Singapore 138676)

Abstract

Speed is a salient feature of modern financial markets. This paper studies investors’ speed acquisition together with their information acquisition. Speed heterogeneity arises in equilibrium, fragmenting the information aggregation process with a nonmonotone impact on price informativeness. Various competition effects drive speed and information to be either substitutes or complements. The model cautions the possible dysfunction of price discovery: An improving information technology might complement speed acquisition, which shifts the concentration of price discovery over time, possibly hurting price informativeness. Novel predictions are discussed regarding investor composition and their investment performance.

Suggested Citation

  • Shiyang Huang & Bart Zhou Yueshen, 2021. "Speed Acquisition," Management Science, INFORMS, vol. 67(6), pages 3492-3518, June.
    • Handle: RePEc:inm:ormnsc:v:67:y:2021:i:6:p:3492-3518
    DOI: 10.1287/mnsc.2020.3669
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    References listed on IDEAS

    as
    1. Craig W. Holden & Avanidhar Subrahmanyam, 2002. "News Events, Information Acquisition, and Serial Correlation," The Journal of Business, University of Chicago Press, vol. 75(1), pages 1-32, January.
    2. Chakraborty, Archishman & Yilmaz, Bilge, 2004. "Informed manipulation," Journal of Economic Theory, Elsevier, vol. 114(1), pages 132-152, January.
    3. Rossi, S & Tinn, K, 2012. "Man or Machine? Rational trading without information about fundamentals," Working Papers 12194, Imperial College, London, Imperial College Business School.
    4. Rohit Rahi & José M. Marín, 1999. "Speculative securities," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 14(3), pages 653-668.
    5. Biais, Bruno & Foucault, Thierry & Moinas, Sophie, 2015. "Equilibrium fast trading," Journal of Financial Economics, Elsevier, vol. 116(2), pages 292-313.
    6. Holden, Craig W & Subrahmanyam, Avanidhar, 1996. "Risk Aversion, Liquidity, and Endogenous Short Horizons," Review of Financial Studies, Society for Financial Studies, vol. 9(2), pages 691-722.
    7. Bai, Jennie & Philippon, Thomas & Savov, Alexi, 2016. "Have financial markets become more informative?," Journal of Financial Economics, Elsevier, vol. 122(3), pages 625-654.
    8. Shmuel Baruch & G. Andrew Karolyi & Michael L. Lemmon, 2007. "Multimarket Trading and Liquidity: Theory and Evidence," Journal of Finance, American Finance Association, vol. 62(5), pages 2169-2200, October.
    9. Giovanni Cespa & Xavier Vives, 2015. "The Beauty Contest and Short-Term Trading," Journal of Finance, American Finance Association, vol. 70(5), pages 2099-2154, October.
    10. 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.
    11. Giovanni Cespa & Thierry Foucault, 2014. "Illiquidity Contagion and Liquidity Crashes," Review of Financial Studies, Society for Financial Studies, vol. 27(6), pages 1615-1660.
    12. Avery, Christopher & Zemsky, Peter, 1998. "Multidimensional Uncertainty and Herd Behavior in Financial Markets," American Economic Review, American Economic Association, vol. 88(4), pages 724-748, September.
    13. Bruno Biais & Thierry Foucault, 2014. "HFT and Market Quality," Bankers, Markets & Investors, ESKA Publishing, issue 128, pages 5-19, January-F.
    14. Gao, Feng & Song, Fengming & Wang, Jun, 2013. "Rational expectations equilibrium with uncertain proportion of informed traders," Journal of Financial Markets, Elsevier, vol. 16(3), pages 387-413.
    15. Hellwig, Martin F., 1980. "On the aggregation of information in competitive markets," Journal of Economic Theory, Elsevier, vol. 22(3), pages 477-498, June.
    16. Vives, Xavier, 1995. "Short-Term Investment and the Informational Efficiency of the Market," Review of Financial Studies, Society for Financial Studies, vol. 8(1), pages 125-160.
    17. Foucault, Thierry & Gehrig, Thomas, 2008. "Stock price informativeness, cross-listings, and investment decisions," Journal of Financial Economics, Elsevier, vol. 88(1), pages 146-168, April.
    18. Songzi Du & Haoxiang Zhu, 2017. "What is the Optimal Trading Frequency in Financial Markets?," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 84(4), pages 1606-1651.
    19. Banerjee, Snehal & Green, Brett, 2015. "Signal or noise? Uncertainty and learning about whether other traders are informed," Journal of Financial Economics, Elsevier, vol. 117(2), pages 398-423.
    20. Eric Budish & Peter Cramton & John Shim, 2015. "Editor's Choice The High-Frequency Trading Arms Race: Frequent Batch Auctions as a Market Design Response," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(4), pages 1547-1621.
    21. Alex Boulatov & Terrence Hendershott & Dmitry Livdan, 2013. "Informed Trading and Portfolio Returns," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 80(1), pages 35-72.
    22. Albert S. Kyle, 1989. "Informed Speculation with Imperfect Competition," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 56(3), pages 317-355.
    23. Buti, Sabrina & Rindi, Barbara & Werner, Ingrid M., 2017. "Dark pool trading strategies, market quality and welfare," Journal of Financial Economics, Elsevier, vol. 124(2), pages 244-265.
    24. 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.
    25. Marco Pagano, 1989. "Trading Volume and Asset Liquidity," The Quarterly Journal of Economics, Oxford University Press, vol. 104(2), pages 255-274.
    26. Froot, Kenneth A & Scharftstein, David S & Stein, Jeremy C, 1992. "Herd on the Street: Informational Inefficiencies in a Market with Short-Term Speculation," Journal of Finance, American Finance Association, vol. 47(4), pages 1461-1484, September.
    27. Verrecchia, Robert E, 1982. "Information Acquisition in a Noisy Rational Expectations Economy," Econometrica, Econometric Society, vol. 50(6), pages 1415-1430, November.
    28. Paolo Pasquariello, 2007. "Imperfect Competition, Information Heterogeneity, and Financial Contagion," Review of Financial Studies, Society for Financial Studies, vol. 20(2), pages 391-426.
    29. Terrence Hendershott & Charles M. Jones & Albert J. Menkveld, 2011. "Does Algorithmic Trading Improve Liquidity?," Journal of Finance, American Finance Association, vol. 66(1), pages 1-33, February.
    30. Chen Yao & Mao Ye, 2018. "Why Trading Speed Matters: A Tale of Queue Rationing under Price Controls," Review of Financial Studies, Society for Financial Studies, vol. 31(6), pages 2157-2183.
    31. John M. Griffin & Jin Xu, 2009. "How Smart Are the Smart Guys? A Unique View from Hedge Fund Stock Holdings," Review of Financial Studies, Society for Financial Studies, vol. 22(7), pages 2331-2370, July.
    32. Albert J. Menkveld, 2016. "The Economics of High-Frequency Trading: Taking Stock," Annual Review of Financial Economics, Annual Reviews, vol. 8(1), pages 1-24, October.
    33. Haoxiang Zhu, 2014. "Do Dark Pools Harm Price Discovery?," Review of Financial Studies, Society for Financial Studies, vol. 27(3), pages 747-789.
    34. Markus K. Brunnermeier, 2005. "Information Leakage and Market Efficiency," Review of Financial Studies, Society for Financial Studies, vol. 18(2), pages 417-457.
    35. Giovanni Cespa, 2008. "Information Sales and Insider Trading with Long‐Lived Information," Journal of Finance, American Finance Association, vol. 63(2), pages 639-672, April.
    36. Dugast, Jérôme & Foucault, Thierry, 2018. "Data abundance and asset price informativeness," Journal of Financial Economics, Elsevier, vol. 130(2), pages 367-391.
    37. Chowdhry, Bhagwan & Nanda, Vikram, 1991. "Multimarket Trading and Market Liquidity," Review of Financial Studies, Society for Financial Studies, vol. 4(3), pages 483-511.
    38. Itay Goldstein & Yan Li & Liyan Yang, 2014. "Speculation and Hedging in Segmented Markets," Review of Financial Studies, Society for Financial Studies, vol. 27(3), pages 881-922.
    39. Kendall, Chad, 2018. "The time cost of information in financial markets," Journal of Economic Theory, Elsevier, vol. 176(C), pages 118-157.
    40. Yong Chao & Chen Yao & Mao Ye, 2017. "Discrete Pricing and Market Fragmentation: A Tale of Two-Sided Markets," American Economic Review, American Economic Association, vol. 107(5), pages 196-199, May.
    41. Hoffmann, Peter, 2014. "A dynamic limit order market with fast and slow traders," Journal of Financial Economics, Elsevier, vol. 113(1), pages 156-169.
    42. Hirshleifer, David & Subrahmanyam, Avanidhar & Titman, Sheridan, 1994. "Security Analysis and Trading Patterns When Some Investors Receive Information before Others," Journal of Finance, American Finance Association, vol. 49(5), pages 1665-1698, December.
    43. Marcin Kacperczyk & Stijn Van Nieuwerburgh & Laura Veldkamp, 2016. "A Rational Theory of Mutual Funds' Attention Allocation," Econometrica, Econometric Society, vol. 84, pages 571-626, March.
    44. Archishman Chakraborty & Bilge Yilmaz, 2008. "Microstructure Bluffing with Nested Information," American Economic Review, American Economic Association, vol. 98(2), pages 280-284, May.
    45. Snehal Banerjee & Jesse Davis & Naveen Gondhi, 2018. "When Transparency Improves, Must Prices Reflect Fundamentals Better?," Review of Financial Studies, Society for Financial Studies, vol. 31(6), pages 2377-2414.
    46. Admati, Anat R, 1985. "A Noisy Rational Expectations Equilibrium for Multi-asset Securities Markets," Econometrica, Econometric Society, vol. 53(3), pages 629-657, May.
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