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The Market Impact of a Limit Order

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  • Nikolaus Hautsch
  • Ruihong Huang

Abstract

Despite their importance in modern electronic trading, virtually no systematic empirical evidence on the market impact of incoming orders is existing. We quantify the short-run and long-run price effect of posting a limit order by proposing a high-frequency cointegrated VAR model for ask and bid quotes and several levels of order book depth. Price impacts are estimated by means of appropriate impulse response functions. Analyzing order book data of 30 stocks traded at Euronext Amsterdam, we show that limit orders have significant market impacts and cause a dynamic (and typically asymmetric) rebalancing of the book. The strength and direction of quote and spread responses depend on the incoming orders’ aggressiveness, their size and the state of the book. We show that the effects are qualitatively quite stable across the market. Cross-sectional variations in the magnitudes of price impacts are well explained by the underlying trading frequency and relative tick size.

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Bibliographic Info

Paper provided by Sonderforschungsbereich 649, Humboldt University, Berlin, Germany in its series SFB 649 Discussion Papers with number SFB649DP2009-051.

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Length: 42 pages
Date of creation: Oct 2009
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Handle: RePEc:hum:wpaper:sfb649dp2009-051

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Keywords: price impact; limit order; impulse response function; cointegration;

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References

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Citations

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Cited by:
  1. repec:hal:wpaper:hal-00745317 is not listed on IDEAS
  2. Nikolaus Hautsch & Dieter Hess & David Veredas, 2011. "The impact of macroeconomic news on quote adjustments, noise and informational volatility," ULB Institutional Repository 2013/136190, ULB -- Universite Libre de Bruxelles.
  3. Gökhan Cebiroglu & Ulrich Horst, 2012. "Hidden Liquidity: Determinants and Impact," SFB 649 Discussion Papers SFB649DP2012-023, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  4. Axel Groß-Klußmann & Nikolaus Hautsch, 2011. "Predicting Bid-Ask Spreads Using Long Memory Autoregressive Conditional Poisson Models," SFB 649 Discussion Papers SFB649DP2011-044, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  5. Nikolaus Hautsch & Mark Podolskij, 2010. "Pre-Averaging Based Estimation of Quadratic Variation in the Presence of Noise and Jumps: Theory, Implementation, and Empirical Evidence," CREATES Research Papers 2010-29, School of Economics and Management, University of Aarhus.
  6. Nikolaus Hautsch & Ruihong Huang, 2012. "On the Dark Side of the Market: Identifying and Analyzing Hidden Order Placements," SFB 649 Discussion Papers SFB649DP2012-014, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  7. Jose Blanchet & Xinyun Chen, 2013. "Continuous-time Modeling of Bid-Ask Spread and Price Dynamics in Limit Order Books," Papers 1310.1103, arXiv.org.
  8. Francesco Calvori & Fabrizio Cipollini & Giampiero M. Gallo, 2014. "Go with the Flow: A GAS model for Predicting Intra-daily Volume Shares," Econometrics Working Papers Archive 2014_01, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti", revised Feb 2014.
  9. Yi Xue & Ramazan Gencay, 2009. "Hierarchical Information and the Rate of Information Diffusion," Working Paper Series 29_09, The Rimini Centre for Economic Analysis, revised Jan 2009.
  10. Martin D. Gould & Mason A. Porter & Stacy Williams & Mark McDonald & Daniel J. Fenn & Sam D. Howison, 2010. "Limit Order Books," Papers 1012.0349, arXiv.org, revised Apr 2013.
  11. Fabrizio Pomponio & Frédéric Abergel, 2013. "Multiple-limit trades : empirical facts and application to lead-lag measures," Post-Print hal-00745317, HAL.
  12. Rama Cont & Arseniy Kukanov & Sasha Stoikov, 2010. "The Price Impact of Order Book Events," Papers 1011.6402, arXiv.org, revised Apr 2011.
  13. Robert Engle & Michael Fleming & Eric Ghysels & Giang Nguyen, 2012. "Liquidity, volatility, and flights to safety in the U.S. treasury market: evidence from a new class of dynamic order book models," Staff Reports 590, Federal Reserve Bank of New York.
  14. Forsyth, P.A. & Kennedy, J.S. & Tse, S.T. & Windcliff, H., 2012. "Optimal trade execution: A mean quadratic variation approach," Journal of Economic Dynamics and Control, Elsevier, vol. 36(12), pages 1971-1991.

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