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Monitoring and limit order submission risks

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  • Liu, Wai-Man

Abstract

This paper presents a formal analysis of the relation between monitoring and limit order submission risk. With heterogeneous information, limit order traders face two types of risk. First, they may be "picked off" when prices change unexpectedly after the limit order is entered (known as free trading option risk). Second, they face the possibility that their limit order will not result in a trade. To mitigate these risks, traders can monitor information and prices and cancel or revise their orders as needed. But such monitoring is costly, resulting in a trade-off between the cost of monitoring and the risks of limit order submission. The model predicts that if the stock is actively traded, limit order submission risks and order cancellations/revisions are positively related. Further, shares with a wide bid-ask spread will tend to have a lower rate of order cancellations and revisions than shares with small bid-ask spreads. Finally, the model suggests that if larger capitalization stocks have lower costs of gathering information (and hence more intense monitoring of limit orders), there will be more cancellations and revisions in limit orders. A sample of 23 liquid stocks provides evidence that is consistent with these three main hypotheses.

Suggested Citation

  • Liu, Wai-Man, 2009. "Monitoring and limit order submission risks," Journal of Financial Markets, Elsevier, vol. 12(1), pages 107-141, February.
  • Handle: RePEc:eee:finmar:v:12:y:2009:i:1:p:107-141
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    Cited by:

    1. Duong, Huu Nhan & Kalev, Petko S., 2013. "Anonymity and order submissions," Pacific-Basin Finance Journal, Elsevier, vol. 25(C), pages 101-118.
    2. Härdle, Wolfgang Karl & Hautsch, Nikolaus & Mihoci, Andrija, 2012. "Modelling and forecasting liquidity supply using semiparametric factor dynamics," Journal of Empirical Finance, Elsevier, vol. 19(4), pages 610-625.
    3. Gao-Feng Gu & Xiong Xiong & Fei Ren & Wei-Xing Zhou & Wei Zhang, 2011. "The position profiles of order cancellations in an emerging stock market," Papers 1112.6085, arXiv.org, revised May 2013.
    4. Henk Berkman & Carole Comerton‐Forde, 2011. "Market microstructure: A review from down under," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 51(1), pages 50-78, March.
    5. Yamamoto, Ryuichi, 2014. "An empirical analysis of non-execution and picking-off risks on the Tokyo Stock Exchange," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 369-383.
    6. Scholtus, Martin & van Dijk, Dick & Frijns, Bart, 2014. "Speed, algorithmic trading, and market quality around macroeconomic news announcements," Journal of Banking & Finance, Elsevier, vol. 38(C), pages 89-105.
    7. Katarzyna Bień-Barkowska, 2014. "Capturing Order Book Dynamics in the Interbank EUR/PLN Spot Market," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 50(1), pages 93-117, January.
    8. Pascual, Roberto & Pascual-Fuster, Bartolomé, 2014. "The relative contribution of ask and bid quotes to price discovery," Journal of Financial Markets, Elsevier, vol. 20(C), pages 129-150.
    9. repec:kap:rqfnac:v:49:y:2017:i:4:d:10.1007_s11156-017-0620-6 is not listed on IDEAS
    10. Danny Lo, 2015. "Essays in Market Microstructure and Investor Trading," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 22.
    11. Alexis Stenfors & Masayuki Susai, 2017. "Liquidity Withdrawal in the FX Spot Market: A Cross-Country Study Using High-Frequency Data," Working Papers in Economics & Finance 2017-06, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.
    12. Garvey, Ryan & Wu, Fei, 2010. "Speed, distance, and electronic trading: New evidence on why location matters," Journal of Financial Markets, Elsevier, vol. 13(4), pages 367-396, November.
    13. Hoffmann, Peter, 2012. "A dynamic limit order market with fast and slow traders," MPRA Paper 39855, University Library of Munich, Germany.
    14. Hoffmann, Peter, 2012. "A dynamic limit order market with fast and slow traders," MPRA Paper 44621, University Library of Munich, Germany, revised Jan 2013.
    15. Pavabutr, Pantisa & Sirodom, Kulpatra, 2010. "Stock splits in a retail dominant order driven market," Pacific-Basin Finance Journal, Elsevier, vol. 18(5), pages 427-441, November.
    16. Yoshida, Yushi & Susai, Masayuki, 2016. "Stepping out of the limit order book: Empirical evidence from the EBS FX market," MPRA Paper 70291, University Library of Munich, Germany.
    17. Jenwittayaroje, Nattawut & Charoenwong, Charlie & Ding, David K. & Yang, Yung Chiang, 2015. "Trading costs on the Stock Exchange of Thailand," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 31-40.
    18. Duong, Huu Nhan & Kalev, Petko S. & Krishnamurti, Chandrasekhar, 2009. "Order aggressiveness of institutional and individual investors," Pacific-Basin Finance Journal, Elsevier, vol. 17(5), pages 533-546, November.
    19. Katarzyna Bień-Barkowska, 2014. "Capturing Order Book Dynamics in the Interbank EUR/PLN Spot Market," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 50(1), pages 93-117, January.
    20. Fong, Kingsley Y.L. & Liu, Wai-Man, 2010. "Limit order revisions," Journal of Banking & Finance, Elsevier, vol. 34(8), pages 1873-1885, August.
    21. Tseng, Yi-Heng & Chen, Shu-Heng, 2015. "Limit order book transparency and order aggressiveness at the closing call: Lessons from the TWSE 2012 new information disclosure mechanism," Pacific-Basin Finance Journal, Elsevier, vol. 35(PA), pages 241-272.
    22. repec:eee:pacfin:v:44:y:2017:i:c:p:1-12 is not listed on IDEAS

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