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Dynamic Order Submission And Herding Behavior In Electronic Trading

  • Wing Lon Ng
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    Abstract I analyze the dynamic trading behavior of market participants by developing a bivariate modeling framework for describing the arrival process of buy and sell orders in a limit order book. The model contains an extended autoregressive conditional duration model with a flexible generalized Beta distribution to explain the duration process, combined with a dynamic logit model to capture the traders' order submission strategy. I find that the state of the order book as well as the speed of the order arrival have a significant influence on the order placement, inducing temporal asymmetric market movements. Copyright (c) 2010 The Southern Finance Association and the Southwestern Finance Association.

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    File URL: http://www.blackwell-synergy.com/doi/abs/10.1111/j.1475-6803.2009.01261.x
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    Article provided by Southern Finance Association & Southwestern Finance Association in its journal Journal of Financial Research.

    Volume (Year): 33 (2010)
    Issue (Month): 1 ()
    Pages: 27-43

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    Handle: RePEc:bla:jfnres:v:33:y:2010:i:1:p:27-43
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    1. Fernandes, M. & Grammig, J., 2000. "Non-Parametric Specification Tests for Conditional Duration Models," Economics Working Papers eco2000/4, European University Institute.
    2. Dan Ladley & Klaus Reiner Schenk-Hoppe, 2007. "Do Stylised Facts of Order Book Markets Need Strategic Behaviour?," Swiss Finance Institute Research Paper Series 07-20, Swiss Finance Institute.
    3. BAUWENS , Luc & GIOT, Pierre & GRAMMIG, Joachim & VEREDAS, David, 2000. "A comparison of financial duration models via density forecasts," CORE Discussion Papers 2000060, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    4. Charles Cao & Oliver Hansch & Xiaoxin Wang, 2008. "Order Placement Strategies In A Pure Limit Order Book Market," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 31(2), pages 113-140.
    5. 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.
    6. Fernandes, Marcelo & Grammig, Joachim, 2006. "A family of autoregressive conditional duration models," Journal of Econometrics, Elsevier, vol. 130(1), pages 1-23, January.
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    8. Robert F. Engle, 2000. "The Econometrics of Ultra-High Frequency Data," Econometrica, Econometric Society, vol. 68(1), pages 1-22, January.
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    16. Russell, Jeffrey R. & Engle, Robert F., 2005. "A Discrete-State Continuous-Time Model of Financial Transactions Prices and Times: The Autoregressive Conditional Multinomial-Autoregressive Conditional Duration Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 166-180, April.
    17. 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.
    18. Biais, Bruno & Hillion, Pierre & Spatt, Chester, 1995. " An Empirical Analysis of the Limit Order Book and the Order Flow in the Paris Bourse," Journal of Finance, American Finance Association, vol. 50(5), pages 1655-89, December.
    19. Christophe BISIÈRE & Thierry KAMIONKA, 2000. "Timing of Orders, Order Aggressiveness and the Order Book at the Paris Bourse," Annales d'Economie et de Statistique, ENSAE, issue 60, pages 43-72.
    20. Alfonso Dufour & Robert F Engle, 2000. "The ACD Model: Predictability of the Time Between Concecutive Trades," ICMA Centre Discussion Papers in Finance icma-dp2000-05, Henley Business School, Reading University.
    21. Engle, Robert F. & Russell, Jeffrey R., 1997. "Forecasting the frequency of changes in quoted foreign exchange prices with the autoregressive conditional duration model," Journal of Empirical Finance, Elsevier, vol. 4(2-3), pages 187-212, June.
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