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Multistate asymmetric ACD model: an application to order dynamics in the EUR/PLN spot market

Author

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  • Katarzyna Bień-Barkowska

    (National Bank of Poland, Financial System Department; Warsaw School of Economics, Institute of Econometrics)

Abstract

This paper examines a process of order submissions and cancellations in the interbank order driven market of the EUR/PLN currency pair. Our contribution to the existing literature is twofold. We generalize the Asymmetric ACD model (AACD) of Bauwens & Giot (2003) with respect to more than two competing risks. It results in the flexible multistate econometric model for durations between moments in which order submissions or cancellations take place. Thanks to the Multistate AACD model we are able to examine timing of order submissions/cancellations that (1) take place on different sides of the market and (2) vary according to the level of order aggressiveness. We show how to simulate from the proposed Multistate Asymmetric ACD model, which enables us to study the transition probabilities between selected events. We investigate different market microstructure factors that exert an influence on the intraday pattern of order submission or cancellation strategies.

Suggested Citation

  • Katarzyna Bień-Barkowska, 2011. "Multistate asymmetric ACD model: an application to order dynamics in the EUR/PLN spot market," NBP Working Papers 104, Narodowy Bank Polski.
    • Handle: RePEc:nbp:nbpmis:104
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    References listed on IDEAS

    as
    1. BAUWENS, Luc & VEREDAS, David, 1999. "The stochastic conditional duration model: a latent factor model for the analysis of financial durations," LIDAM Discussion Papers CORE 1999058, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    2. 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.
    3. Foucault, Thierry, 1998. "Order Flow Composition and Trading Costs in Dynamic Limit Order Markets," CEPR Discussion Papers 1817, C.E.P.R. Discussion Papers.
    4. Thierry Foucault & Ohad Kadan & Eugene Kandel, 2005. "Limit Order Book as a Market for Liquidity," The Review of Financial Studies, Society for Financial Studies, vol. 18(4), pages 1171-1217.
    5. Robert F. Engle & Jeffrey R. Russell, 1998. "Autoregressive Conditional Duration: A New Model for Irregularly Spaced Transaction Data," Econometrica, Econometric Society, vol. 66(5), pages 1127-1162, September.
    6. Bauwens, Luc & Veredas, David, 2004. "The stochastic conditional duration model: a latent variable model for the analysis of financial durations," Journal of Econometrics, Elsevier, vol. 119(2), pages 381-412, April.
    7. Handa, Puneet & Schwartz, Robert A, 1996. "Limit Order Trading," Journal of Finance, American Finance Association, vol. 51(5), pages 1835-1861, December.
    8. Seppi, Duane J, 1997. "Liquidity Provision with Limit Orders and a Strategic Specialist," The Review of Financial Studies, Society for Financial Studies, vol. 10(1), pages 103-150.
    9. Parlour, Christine A, 1998. "Price Dynamics in Limit Order Markets," The Review of Financial Studies, Society for Financial Studies, vol. 11(4), pages 789-816.
    10. Ioanid Rosu, 2009. "A Dynamic Model of the Limit Order Book," The Review of Financial Studies, Society for Financial Studies, vol. 22(11), pages 4601-4641, November.
    11. BAUWENS, Luc & GALLI, Fausto & GIOT, Pierre, 2003. "The moments of Log-ACD models," LIDAM Discussion Papers CORE 2003011, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    12. Ranaldo, Angelo, 2004. "Order aggressiveness in limit order book markets," Journal of Financial Markets, Elsevier, vol. 7(1), pages 53-74, January.
    13. Fong, Kingsley Y.L. & Liu, Wai-Man, 2010. "Limit order revisions," Journal of Banking & Finance, Elsevier, vol. 34(8), pages 1873-1885, August.
    14. Anthony D. Hall & Nikolaus Hautsch, 2008. "Order aggressiveness and order book dynamics," Studies in Empirical Economics, in: Luc Bauwens & Winfried Pohlmeier & David Veredas (ed.), High Frequency Financial Econometrics, pages 133-165, Springer.
    15. 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.
    16. Luc Bauwens & Pierre Giot, 2000. "The Logarithmic ACD Model: An Application to the Bid-Ask Quote Process of Three NYSE Stocks," Annals of Economics and Statistics, GENES, issue 60, pages 117-149.
    17. Foucault, Thierry, 1999. "Order flow composition and trading costs in a dynamic limit order market1," Journal of Financial Markets, Elsevier, vol. 2(2), pages 99-134, May.
    18. Bae, Kee-Hong & Jang, Hasung & Park, Kyung Suh, 2003. "Traders' choice between limit and market orders: evidence from NYSE stocks," Journal of Financial Markets, Elsevier, vol. 6(4), pages 517-538, August.
    19. repec:bla:jfinan:v:58:y:2003:i:5:p:1791-1820 is not listed on IDEAS
    20. Glosten, Lawrence R, 1994. "Is the Electronic Open Limit Order Book Inevitable?," Journal of Finance, American Finance Association, vol. 49(4), pages 1127-1161, September.
    21. Ioanid Rosu, 2009. "A Dynamic Model of the Limit Order Book," Post-Print hal-00515873, HAL.
    22. Lo, Ingrid & Sapp, Stephen G., 2008. "The submission of limit orders or market orders: The role of timing and information in the Reuters D2000-2 system," Journal of International Money and Finance, Elsevier, vol. 27(7), pages 1056-1073, November.
    23. repec:adr:anecst:y:2000:i:60:p:05 is not listed on IDEAS
    24. Diamond, Douglas W. & Verrecchia, Robert E., 1987. "Constraints on short-selling and asset price adjustment to private information," Journal of Financial Economics, Elsevier, vol. 18(2), pages 277-311, June.
    25. 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.
    26. Liu, Wai-Man, 2009. "Monitoring and limit order submission risks," Journal of Financial Markets, Elsevier, vol. 12(1), pages 107-141, February.
    27. Carol L. Osler, 2003. "Currency Orders and Exchange Rate Dynamics: An Explanation for the Predictive Success of Technical Analysis," Journal of Finance, American Finance Association, vol. 58(5), pages 1791-1819, October.
    28. Easley, David & O'Hara, Maureen, 1992. "Time and the Process of Security Price Adjustment," Journal of Finance, American Finance Association, vol. 47(2), pages 576-605, June.
    29. PASCUAL, Roberto & VEREDAS, David, 2004. "What pieces of limit order book information are informative ?," LIDAM Discussion Papers CORE 2004033, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    asymmetric ACD model; order dynamics; intraday liquidity;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • F30 - International Economics - - International Finance - - - General
    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General

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