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Multiple duration analyses of dynamic limit order placement strategies and aggressiveness in a low-latency market environment

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  • Le, Anh Tu
  • Le, Thai-Ha
  • Liu, Wai-Man
  • Fong, Kingsley Y.

Abstract

This study examines dynamic order placement strategies in a low-latency environment together with limit orders' aggressiveness by a new approach which utilises survival analysis with a multiple-spell duration model. Two samples are considered, including the period immediately followed Australian Securities Exchange (ASX)’s migration to Integrated Trading System (ITS) and the period subsequent to the launch of ASX Trade. We find the evidence supporting both the ‘cost of immediacy hypothesis' and the ‘chasing hypothesis' as in Hasbrouck and Saar (2009). Furthermore, several distinctions in the results are found between the samples of ITS period and ASX Trade period as well as between the samples of small-cap stocks and large-cap stocks. The findings of this study are beneficial not only for high-frequency traders in forming dynamic order placement strategies in a low-latency stock market environment, but also for market regulators in helping their attempt to improve regulations for stock exchanges.

Suggested Citation

  • Le, Anh Tu & Le, Thai-Ha & Liu, Wai-Man & Fong, Kingsley Y., 2020. "Multiple duration analyses of dynamic limit order placement strategies and aggressiveness in a low-latency market environment," International Review of Financial Analysis, Elsevier, vol. 72(C).
  • Handle: RePEc:eee:finana:v:72:y:2020:i:c:s1057521920302192
    DOI: 10.1016/j.irfa.2020.101575
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    as
    1. repec:cup:cbooks:9780511771576 is not listed on IDEAS
    2. Alison L. Booth & Marco Francesconi & Jeff Frank, 2002. "Temporary Jobs: Stepping Stones Or Dead Ends?," Economic Journal, Royal Economic Society, vol. 112(480), pages 189-213, June.
    3. Foucault, Thierry & Cespa, Giovanni, 2008. "Insiders-outsiders, transparency and the value of the ticker," HEC Research Papers Series 892, HEC Paris.
    4. Marloes de Graaf-Zijl & Gerard van den Berg & Arjan Heyma, 2011. "Stepping stones for the unemployed: the effect of temporary jobs on the duration until (regular) work," Journal of Population Economics, Springer;European Society for Population Economics, vol. 24(1), pages 107-139, January.
    5. Sun, Yuxin & Ibikunle, Gbenga, 2017. "Informed trading and the price impact of block trades: A high frequency trading analysis," International Review of Financial Analysis, Elsevier, vol. 54(C), pages 114-129.
    6. Lee Lillard & Constantijn Panis, 1996. "Marital status and mortality: The role of health," Demography, Springer;Population Association of America (PAA), vol. 33(3), pages 313-327, August.
    7. Andrei Kirilenko & Albert S. Kyle & Mehrdad Samadi & Tugkan Tuzun, 2017. "The Flash Crash: High-Frequency Trading in an Electronic Market," Journal of Finance, American Finance Association, vol. 72(3), pages 967-998, June.
    8. Hendershott, Terrence & Moulton, Pamela C., 2011. "Automation, speed, and stock market quality: The NYSE's Hybrid," Journal of Financial Markets, Elsevier, vol. 14(4), pages 568-604, November.
    9. van Ours, Jan C., 2004. "The locking-in effect of subsidized jobs," Journal of Comparative Economics, Elsevier, vol. 32(1), pages 37-55, March.
    10. 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.
    11. Foucault, Thierry & Cespa, Giovanni, 2008. "Insiders-outsiders, transparency and the value of the ticker," HEC Research Papers Series 892, HEC Paris.
    12. Ham, John C & Rea, Samuel A, Jr, 1987. "Unemployment Insurance and Male Unemployment Duration in Canada," Journal of Labor Economics, University of Chicago Press, vol. 5(3), pages 325-353, July.
    13. Gomber, Peter & Gsell, Markus, 2009. "Algorithmic trading engines versus human traders: Do they behave different in securities markets?," CFS Working Paper Series 2009/10, Center for Financial Studies (CFS).
    14. Hasbrouck, Joel & Saar, Gideon, 2013. "Low-latency trading," Journal of Financial Markets, Elsevier, vol. 16(4), pages 646-679.
    15. Van den Berg, Gerard J., 2001. "Duration models: specification, identification and multiple durations," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 55, pages 3381-3460, Elsevier.
    16. Johannes Prix & Otto Loistl & Michael Huetl, 2007. "Algorithmic Trading Patterns in Xetra Orders," The European Journal of Finance, Taylor & Francis Journals, vol. 13(8), pages 717-739.
    17. Ranaldo, Angelo, 2004. "Order aggressiveness in limit order book markets," Journal of Financial Markets, Elsevier, vol. 7(1), pages 53-74, January.
    18. Gsell, Markus, 2008. "Assessing the impact of algorithmic trading on markets: A simulation approach," CFS Working Paper Series 2008/49, Center for Financial Studies (CFS).
    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. Cohen, Kalman J & Maier, Steven F & Schwartz, Robert A & Whitcomb, David K, 1981. "Transaction Costs, Order Placement Strategy, and Existence of the Bid-Ask Spread," Journal of Political Economy, University of Chicago Press, vol. 89(2), pages 287-305, April.
    21. Hendershott, Terrence & Riordan, Ryan, 2013. "Algorithmic Trading and the Market for Liquidity," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 48(4), pages 1001-1024, August.
    22. Murray, Hamish & Pham, Thu Phuong & Singh, Harminder, 2016. "Latency reduction and market quality: The case of the Australian Stock Exchange," International Review of Financial Analysis, Elsevier, vol. 46(C), pages 257-265.
    23. Fong, Kingsley Y.L. & Liu, Wai-Man, 2010. "Limit order revisions," Journal of Banking & Finance, Elsevier, vol. 34(8), pages 1873-1885, August.
    24. Gagliarducci, Stefano, 2005. "The dynamics of repeated temporary jobs," Labour Economics, Elsevier, vol. 12(4), pages 429-448, August.
    25. Thomas S. Coleman, 1990. "Unemployment Behaviour: Evidence from the CPS Work Experience Survey," Palgrave Macmillan Books, in: Yoram Weiss & Gideon Fishelson (ed.), Advances in the Theory and Measurement of Unemployment, chapter 5, pages 113-153, Palgrave Macmillan.
    26. Menkhoff, Lukas & Schmeling, Maik, 2010. "Whose trades convey information? Evidence from a cross-section of traders," Journal of Financial Markets, Elsevier, vol. 13(1), pages 101-128, February.
    27. Easley,David & Kleinberg,Jon, 2010. "Networks, Crowds, and Markets," Cambridge Books, Cambridge University Press, number 9780521195331.
    28. Zhou, Hao & Elliott, Robert J. & Kalev, Petko S., 2019. "Information or noise: What does algorithmic trading incorporate into the stock prices?," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 27-39.
    29. Newman, John L & McCulloch, Charles E, 1984. "A Hazard Rate Approach to the Timing of Births," Econometrica, Econometric Society, vol. 52(4), pages 939-961, July.
    30. 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.
    31. Lillard, Lee A., 1993. "Simultaneous equations for hazards : Marriage duration and fertility timing," Journal of Econometrics, Elsevier, vol. 56(1-2), pages 189-217, March.
    32. Manahov, Viktor, 2016. "A note on the relationship between high-frequency trading and latency arbitrage," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 281-296.
    33. Liu, Wai-Man, 2009. "Monitoring and limit order submission risks," Journal of Financial Markets, Elsevier, vol. 12(1), pages 107-141, February.
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    More about this item

    Keywords

    Tick-by-tick data; Dynamic order placement strategies; Survival analysis; Multiple-spell duration; Australian securities exchange (ASX);
    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

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