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Price discovery in tick time

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  • Frijns, Bart
  • Schotman, Peter

Abstract

This paper develops a tick time model for the quote setting dynamics on Nasdaq. The model decomposes quotes into an efficient price, asymmetric information and noise. Both the evolution of the efficient price and the information contents of quotes depend on quote durations. New measures for the contribution to price discovery are defined within this model. When aggregated to fixed calendar time intervals, they relate closely to Hasbrouck [Hasbrouck, Joel, 1995, One security, many markets: determining the contribution to price discovery, Journal of Finance 50, 1175-1199] information shares. Empirical results for 20 Nasdaq stocks indicate that ECNs, in particular Island, contribute most to price discovery for active stocks. For less active stocks, wholesale market makers contribute most.

Suggested Citation

  • Frijns, Bart & Schotman, Peter, 2009. "Price discovery in tick time," Journal of Empirical Finance, Elsevier, vol. 16(5), pages 759-776, December.
  • Handle: RePEc:eee:empfin:v:16:y:2009:i:5:p:759-776
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    References listed on IDEAS

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    1. Joel Hasbrouck, 2003. "Intraday Price Formation in U.S. Equity Index Markets," Journal of Finance, American Finance Association, vol. 58(6), pages 2375-2400, December.
    2. Christie, William G & Harris, Jeffrey H & Schultz, Paul H, 1994. " Why Did NASDAQ Market Makers Stop Avoiding Odd-Eighth Quotes?," Journal of Finance, American Finance Association, vol. 49(5), pages 1841-1860, December.
    3. Engle, Robert F. & Patton, Andrew J., 2004. "Impacts of trades in an error-correction model of quote prices," Journal of Financial Markets, Elsevier, vol. 7(1), pages 1-25, January.
    4. Hasbrouck, Joel, 1995. " One Security, Many Markets: Determining the Contributions to Price Discovery," Journal of Finance, American Finance Association, vol. 50(4), pages 1175-1199, September.
    5. Glosten, Lawrence R. & Harris, Lawrence E., 1988. "Estimating the components of the bid/ask spread," Journal of Financial Economics, Elsevier, vol. 21(1), pages 123-142, May.
    6. Alfonso Dufour & Robert F. Engle, 2000. "Time and the Price Impact of a Trade," Journal of Finance, American Finance Association, vol. 55(6), pages 2467-2498, December.
    7. Grammig, Joachim & Melvin, Michael & Schlag, Christian, 2005. "Internationally cross-listed stock prices during overlapping trading hours: price discovery and exchange rate effects," Journal of Empirical Finance, Elsevier, vol. 12(1), pages 139-164, January.
    8. Roger D. Huang, 2002. "The Quality of ECN and Nasdaq Market Maker Quotes," Journal of Finance, American Finance Association, vol. 57(3), pages 1285-1319, June.
    9. Clark, Peter K, 1973. "A Subordinated Stochastic Process Model with Finite Variance for Speculative Prices," Econometrica, Econometric Society, vol. 41(1), pages 135-155, January.
    10. Baillie, Richard T. & Geoffrey Booth, G. & Tse, Yiuman & Zabotina, Tatyana, 2002. "Price discovery and common factor models," Journal of Financial Markets, Elsevier, vol. 5(3), pages 309-321, July.
    11. Hasbrouck, Joel, 1993. "Assessing the Quality of a Security Market: A New Approach to Transaction-Cost Measurement," Review of Financial Studies, Society for Financial Studies, vol. 6(1), pages 191-212.
    12. Martens, Martin, 1998. "Price discovery in high and low volatility periods: open outcry versus electronic trading," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 8(3-4), pages 243-260, December.
    13. Furfine, Craig, 2007. "When is inter-transaction time informative?," Journal of Empirical Finance, Elsevier, vol. 14(3), pages 310-332, June.
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    15. Schultz, Paul, 2003. "Who makes markets," Journal of Financial Markets, Elsevier, vol. 6(1), pages 49-72, January.
    16. Harris, Lawrence, 1987. "Transaction Data Tests of the Mixture of Distributions Hypothesis," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 22(02), pages 127-141, June.
    17. 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.
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    Cited by:

    1. Hurvich, Cliiford & Wang, Yi, 2006. "A Pure-Jump Transaction-Level Price Model Yielding Cointegration, Leverage, and Nonsynchronous Trading Effects," MPRA Paper 1413, University Library of Munich, Germany.
    2. Gavious, Arieh & Kedar-Levy, Haim, 2013. "The speed of stock price discovery," Journal of Financial Intermediation, Elsevier, vol. 22(2), pages 245-258.
    3. Lei Wu & Qingbin Meng & Kuan Xu, 2015. "'Slow-burn' spillover and 'fast and furious' contagion: a study of international stock markets," Quantitative Finance, Taylor & Francis Journals, vol. 15(6), pages 933-958, June.
    4. Ozturk, Sait R. & van der Wel, Michel & van Dijk, Dick, 2017. "Intraday price discovery in fragmented markets," Journal of Financial Markets, Elsevier, vol. 32(C), pages 28-48.
    5. Helmut Herwartz, 2006. "Econometric analysis of high frequency data," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 90(1), pages 89-104, March.
    6. Mizrach, Bruce & Neely, Christopher J., 2008. "Information shares in the US Treasury market," Journal of Banking & Finance, Elsevier, vol. 32(7), pages 1221-1233, July.
    7. repec:eee:pacfin:v:48:y:2018:i:c:p:84-98 is not listed on IDEAS
    8. Sait R. Ozturk & Michel van der Wel & Dick van Dijk, 2015. "Why do Pit-Hours outlive the Pit?," Tinbergen Institute Discussion Papers 15-082/III, Tinbergen Institute.
    9. Jondeau, Eric & Lahaye, Jérôme & Rockinger, Michael, 2015. "Estimating the price impact of trades in a high-frequency microstructure model with jumps," Journal of Banking & Finance, Elsevier, vol. 61(S2), pages 205-224.
    10. Fernandes, Marcelo & Scherrer, Cristina M., 2013. "Price discovery in dual-class shares across multiple markets," Textos para discussão 344, FGV/EESP - Escola de Economia de São Paulo, Getulio Vargas Foundation (Brazil).
    11. Kehrle, Kerstin & Peter, Franziska J., 2013. "Who moves first? An intensity-based measure for information flows across stock exchanges," Journal of Banking & Finance, Elsevier, vol. 37(5), pages 1629-1642.
    12. Otsubo, Yoichi, 2014. "International cross-listing and price discovery under trading concentration in the domestic market: Evidence from Japanese shares," Journal of Empirical Finance, Elsevier, vol. 25(C), pages 36-51.

    More about this item

    Keywords

    Price discovery Tick time models Nasdaq Ultra-high frequency data Microstructure;

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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