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The information content of special orders

Author

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  • Duong, Huu Nhan
  • Lajbcygier, Paul
  • Vu, Van Hoang

Abstract

We consider the role of special orders in informed traders' order submission strategies and their effect on the market price discovery process. Special orders, such as Fill-and-Kill and All-or-Nothing orders, are not entered in the order book; instead, they are executed immediately. This means they do not require costly monitoring and are not visible to other traders. Due to the fact that informed institutional traders, including high-frequency traders, use aggressive special orders, they generate higher price impacts than normal orders, particularly in volatile markets.

Suggested Citation

  • Duong, Huu Nhan & Lajbcygier, Paul & Vu, Van Hoang, 2017. "The information content of special orders," Pacific-Basin Finance Journal, Elsevier, vol. 45(C), pages 68-81.
  • Handle: RePEc:eee:pacfin:v:45:y:2017:i:c:p:68-81
    DOI: 10.1016/j.pacfin.2016.05.012
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    1. Aitken, Michael & Almeida, Niall & deB. Harris, Frederick H. & McInish, Thomas H., 2007. "Liquidity supply in electronic markets," Journal of Financial Markets, Elsevier, vol. 10(2), pages 144-168, May.
    2. Foucault, Thierry, 1998. "Order Flow Composition and Trading Costs in Dynamic Limit Order Markets," CEPR Discussion Papers 1817, C.E.P.R. Discussion Papers.
    3. Chakravarty, Sugato, 2001. "Stealth-trading: Which traders' trades move stock prices?," Journal of Financial Economics, Elsevier, vol. 61(2), pages 289-307, August.
    4. Sadhana Alangar & Chenchuramaiah T. Bathala & Ramesh P. Rao, 1999. "The Effect Of Institutional Interest On The Information Content Of Dividend-Change Announcements," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 22(4), pages 429-448, December.
    5. Tauchen, George E & Pitts, Mark, 1983. "The Price Variability-Volume Relationship on Speculative Markets," Econometrica, Econometric Society, vol. 51(2), pages 485-505, March.
    6. Harris, Lawrence, 1986. "Cross-Security Tests of the Mixture of Distributions Hypothesis," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 21(1), pages 39-46, March.
    7. Epps, Thomas W & Epps, Mary Lee, 1976. "The Stochastic Dependence of Security Price Changes and Transaction Volumes: Implications for the Mixture-of-Distributions Hypothesis," Econometrica, Econometric Society, vol. 44(2), pages 305-321, March.
    8. Bloomfield, Robert & O'Hara, Maureen & Saar, Gideon, 2005. "The "make or take" decision in an electronic market: Evidence on the evolution of liquidity," Journal of Financial Economics, Elsevier, vol. 75(1), pages 165-199, January.
    9. Sadhana Alangar & Chenchuramaiah T. Bathala & Ramesh P. Rao, 1999. "The Effect Of Institutional Interest On The Information Content Of Dividend-Change Announcements," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 22(4), pages 429-448, December.
    10. John K. Wald & H. T. Horrigan, 2005. "Optimal Limit Order Choice," The Journal of Business, University of Chicago Press, vol. 78(2), pages 597-620, March.
    11. Chakravarty, Sugato & Jain, Pankaj & Upson, James & Wood, Robert, 2012. "Clean Sweep: Informed Trading through Intermarket Sweep Orders," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 47(2), pages 415-435, April.
    12. Glosten, Lawrence R, 1994. "Is the Electronic Open Limit Order Book Inevitable?," Journal of Finance, American Finance Association, vol. 49(4), pages 1127-1161, September.
    13. Szewczyk, Samuel H & Tsetsekos, George P & Varma, Raj, 1992. "Institutional Ownership and the Liquidity of Common Stock Offerings," The Financial Review, Eastern Finance Association, vol. 27(2), pages 211-225, May.
    14. Tian, Xiao & Do, Binh & Duong, Huu Nhan & Kalev, Petko S., 2015. "Liquidity provision and informed trading by individual investors," Pacific-Basin Finance Journal, Elsevier, vol. 35(PA), pages 143-162.
    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. Seppi, Duane J, 1997. "Liquidity Provision with Limit Orders and a Strategic Specialist," The Review of Financial Studies, Society for Financial Studies, vol. 10(1), pages 103-150.
    17. Ron Kaniel & Hong Liu, 2006. "So What Orders Do Informed Traders Use?," The Journal of Business, University of Chicago Press, vol. 79(4), pages 1867-1914, July.
    18. Chakravarty Sugato & Holden Craig W., 1995. "An Integrated Model of Market and Limit Orders," Journal of Financial Intermediation, Elsevier, vol. 4(3), pages 213-241, July.
    19. Alain P. Chaboud & Benjamin Chiquoine & Erik Hjalmarsson & Clara Vega, 2014. "Rise of the Machines: Algorithmic Trading in the Foreign Exchange Market," Journal of Finance, American Finance Association, vol. 69(5), pages 2045-2084, October.
    20. Clark, Peter K, 1973. "A Subordinated Stochastic Process Model with Finite Variance for Speculative Prices," Econometrica, Econometric Society, vol. 41(1), pages 135-155, January.
    21. Anand, Amber & Chakravarty, Sugato & Martell, Terrence, 2005. "Empirical evidence on the evolution of liquidity: Choice of market versus limit orders by informed and uninformed traders," Journal of Financial Markets, Elsevier, vol. 8(3), pages 288-308, August.
    22. Foucault, Thierry, 1999. "Order flow composition and trading costs in a dynamic limit order market1," Journal of Financial Markets, Elsevier, vol. 2(2), pages 99-134, May.
    23. Fong, Kingsley Y. L. & Gallagher, David R. & Lee, Adrian D., 2014. "Individual Investors and Broker Types," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 49(2), pages 431-451, April.
    24. Aitken, Michael J. & Berkman, Henk & Mak, Derek, 2001. "The use of undisclosed limit orders on the Australian Stock Exchange," Journal of Banking & Finance, Elsevier, vol. 25(8), pages 1589-1603, August.
    25. Duong, Huu Nhan & Kalev, Petko S., 2013. "Anonymity and order submissions," Pacific-Basin Finance Journal, Elsevier, vol. 25(C), pages 101-118.
    26. Andersen, Torben G, 1996. "Return Volatility and Trading Volume: An Information Flow Interpretation of Stochastic Volatility," Journal of Finance, American Finance Association, vol. 51(1), pages 169-204, March.
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    More about this item

    Keywords

    Fill-and-Kill orders; All-or-Nothing orders; Institutional investors; Price impact; High frequency trading;
    All these keywords.

    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G29 - Financial Economics - - Financial Institutions and Services - - - Other

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