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Trading activity and liquidity supply in a pure limit order book market

  • GRAMMIG, Joachim
  • HEINEN, Andréas
  • RENGIFO, Erick

In this paper we perform an empirical analysis of the trading process in a pure limit order book market, the Xetra system which operates at various European exchanges. We study how present and past liquidity supply and demand as well as price volatility affect future trading activity and market resiliency, and discuss the results in the light of predictions implied by theoretical models of financial market microstructure. Using time series of reconstructed limit order books we identify latent factors which explain future order submission and cancelation decisions, according to hypotheses put forth by microstructure theory. We test these hypotheses with a new econometric methodology for the analysis of multivariate count processes.

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Paper provided by Université catholique de Louvain, Center for Operations Research and Econometrics (CORE) in its series CORE Discussion Papers with number 2004058.

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Date of creation: 00 Sep 2004
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Handle: RePEc:cor:louvco:2004058
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  1. BAUWENS, Luc & HAUTSCH, Nikolaus, 2003. "Dynamic latent factor models for intensity processes," CORE Discussion Papers 2003103, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  2. Handa, Puneet & Schwartz, Robert & Tiwari, Ashish, 2003. "Quote setting and price formation in an order driven market," Journal of Financial Markets, Elsevier, vol. 6(4), pages 461-489, August.
  3. Andersen, Torben G. & Bollerslev, Tim, 1997. "Intraday periodicity and volatility persistence in financial markets," Journal of Empirical Finance, Elsevier, vol. 4(2-3), pages 115-158, June.
  4. Engle, Robert F & Lunde, Asger, 1998. "Trades and Quotes: A Bivariate Point Process," University of California at San Diego, Economics Working Paper Series qt8bh079sq, Department of Economics, UC San Diego.
  5. Jose A. F. Machado & J. M. C. Santos Silva, 2002. "Quantiles for counts," CeMMAP working papers CWP22/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  6. Hans Degryse & Frank Jong & Maarten Ravenswaaij & Gunther Wuyts, 2005. "Aggressive Orders and the Resiliency of a Limit Order Market," Review of Finance, Springer, vol. 9(2), pages 201-242, 06.
  7. 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.
  8. 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.
  9. HEINEN, Andreas & RENGIFO, Erick, 2003. "Multivariate modelling of time series count data: an autoregressive conditional Poisson model," CORE Discussion Papers 2003025, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  10. 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.
  11. PASCUAL, Roberto & VEREDAS, David, 2004. "What pieces of limit order book information are informative ?," CORE Discussion Papers 2004033, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
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