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A Competing Risk Analysis of Executions and Cancellations in a Limit Order Market

Author

Listed:
  • Bidisha Chakrabarty

    (Saint Louis University)

  • Zhaohui Han

    (Financial Engineering Group, ITG Inc.)

  • Konstantin Tyurin

    (Indiana University Bloomington)

  • Xiaoyong Zheng

    (North Carolina State University)

Abstract

The competing risks technique is applied to the analysis of times to execution and cancellation of limit orders submitted on an electronic trading platform. Time-to-execution is found to be more sensitive to the limit price variation than time-to-cancellation, even though it is less sensitive to the limit order size. More importantly, investors who aim to reduce the expected time-to-execution for their limit orders without inducing any significant increase in the risk of subsequent cancellation should submit their orders when the market depth is smaller on the side of their orders or when the market depth is greater on the opposite side of their orders. We also provide a new diagnostic plots method for evaluating the goodness-of-fit of different competing risks models.

Suggested Citation

  • Bidisha Chakrabarty & Zhaohui Han & Konstantin Tyurin & Xiaoyong Zheng, 2006. "A Competing Risk Analysis of Executions and Cancellations in a Limit Order Market," CAEPR Working Papers 2006-015, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    • Handle: RePEc:inu:caeprp:2006015
    as

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    File URL: https://caepr.indiana.edu/RePEc/inu/caeprp/caepr2006-015.pdf
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    References listed on IDEAS

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    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Efstathios Panayi & Gareth Peters, 2014. "Survival Models for the Duration of Bid-Ask Spread Deviations," Papers 1406.5487, arXiv.org.
    2. Zoltan Eisler & Janos Kertesz & Fabrizio Lillo & Rosario Mantegna, 2009. "Diffusive behavior and the modeling of characteristic times in limit order executions," Quantitative Finance, Taylor & Francis Journals, vol. 9(5), pages 547-563.
    3. 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.
    4. Chaoshin Chiao & Zi-May Wang & Shiau-Yuan Tong, 2017. "Order cancellations across investor groups: evidence from an emerging order-driven market," Review of Quantitative Finance and Accounting, Springer, vol. 49(4), pages 1167-1193, November.
    5. Danny Lo, 2015. "Essays in Market Microstructure and Investor Trading," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 22, July-Dece.
    6. Hasbrouck, Joel & Saar, Gideon, 2009. "Technology and liquidity provision: The blurring of traditional definitions," Journal of Financial Markets, Elsevier, vol. 12(2), pages 143-172, May.
    7. Ming-Chang Wang & Yu-Jia Ding & Pei-Han Hsin, 2018. "Order Aggressiveness and the Heating and Cooling-off Effects of Price Limits: Evidence from Taiwan Stock Exchange," Journal of Economics and Management, College of Business, Feng Chia University, Taiwan, vol. 14(2), pages 191-216, August.
    8. Rose, Annica, 2014. "The informational effect and market quality impact of upstairs trading and fleeting orders on the Australian Securities Exchange," Journal of Empirical Finance, Elsevier, vol. 28(C), pages 171-184.
    9. Roberto Pascual & David Veredas, 2009. "What pieces of limit order book information matter in explaining order choice by patient and impatient traders?," Quantitative Finance, Taylor & Francis Journals, vol. 9(5), pages 527-545.
    10. Danny Lo, 2015. "Essays in Market Microstructure and Investor Trading," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 4-2015, January-A.

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    More about this item

    Keywords

    Market microstructure; limit order; competing risks; hazard rate; frailty;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors

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