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Intraday probability of informed trading

Author

Listed:
  • Zaichao Du

    (Southwestern University of Finance and Economics)

Abstract

By extending Easley, Kiefer, O'Hara and Paperman's (1996) framework to an intraday model, I empirically estimate the intraday probability of informed trading (PIN) for the 30 stocks in DJIA index. I document a U-shaped PIN pattern over the time of a day, and the consequent test validates this finding.

Suggested Citation

  • Zaichao Du, 2011. "Intraday probability of informed trading," Economics Bulletin, AccessEcon, vol. 31(4), pages 3103-3112.
    • Handle: RePEc:ebl:ecbull:eb-11-00590
    as

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    File URL: http://www.accessecon.com/Pubs/EB/2011/Volume31/EB-11-V31-I4-P281.pdf
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    References listed on IDEAS

    as
    1. Chung, Kee H. & Van Ness, Bonnie F. & Van Ness, Robert A., 1999. "Limit orders and the bid-ask spread," Journal of Financial Economics, Elsevier, vol. 53(2), pages 255-287, August.
    2. Ellul, Andrew & Holden, Craig W. & Jain, Pankaj & Jennings, Robert, 2007. "Order dynamics: Recent evidence from the NYSE," Journal of Empirical Finance, Elsevier, vol. 14(5), pages 636-661, December.
    3. Lee, Charles M C & Ready, Mark J, 1991. "Inferring Trade Direction from Intraday Data," Journal of Finance, American Finance Association, vol. 46(2), pages 733-746, June.
    4. 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.
    5. Harrison Hong & Jiang Wang, 2000. "Trading and Returns under Periodic Market Closures," Journal of Finance, American Finance Association, vol. 55(1), pages 297-354, February.
    6. Jason T. Greene & Susan G. Watts, 1996. "Price Discovery on the NYSE and the NASDAQ: The case of Overnight Daytime News Releases," Financial Management, Financial Management Association, vol. 25(1), Spring.
    7. 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.
    8. Glosten, Lawrence R. & Milgrom, Paul R., 1985. "Bid, ask and transaction prices in a specialist market with heterogeneously informed traders," Journal of Financial Economics, Elsevier, vol. 14(1), pages 71-100, March.
    9. David Easley & Robert F. Engle & Maureen O'Hara & Liuren Wu, 2008. "Time-Varying Arrival Rates of Informed and Uninformed Trades," Journal of Financial Econometrics, Oxford University Press, vol. 6(2), pages 171-207, Spring.
    10. Henker, Thomas & Wang, Jian-Xin, 2006. "On the importance of timing specifications in market microstructure research," Journal of Financial Markets, Elsevier, vol. 9(2), pages 162-179, May.
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    Cited by:

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    2. Malinova, Katya & Park, Andreas, 2014. "The impact of competition and information on intraday trading," Journal of Banking & Finance, Elsevier, vol. 44(C), pages 55-71.

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    More about this item

    Keywords

    Probability of informed trading; Market microstructure;

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling

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