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Why do Pit-Hours outlive the Pit?

Author

Listed:
  • Sait R. Ozturk

    (Erasmus University Rotterdam, the Netherlands)

  • Michel van der Wel

    (Erasmus University Rotterdam, the Netherlands)

  • Dick van Dijk

    (Erasmus University Rotterdam, the Netherlands)

Abstract

We study why a majority of trades still happen during the pit hours, i.e. when the trading pit is open, even after the pit ceased to be a liquid and informative venue. We investigate the case of 30-year U.S. Treasury futures using a ten-years-long intraday data set which contains the introduction of the CME Globex platform as an example of sophistication in electronic trading. We use a structural model to estimate the time-variation in potential factors of the clustering of trading activity around the pit hours, namely price informativeness, information asymmetry and price impact of trades. We find evidence for a feedback mechanism between trading activity and these factors. Across the sample period, price informativeness during the afterhours is a consistently significant factor attracting trade activity. Information asymmetry has a negative effect on afterhours act ivity, particularly during the crisis years. The negative effect of price impact on afterhours activity ceases to be a significant factor from 2007 on, possibly due to improvements in order execution algorithms and electronic trading facilities.

Suggested Citation

  • 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.
    • Handle: RePEc:tin:wpaper:20150082
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    File URL: https://papers.tinbergen.nl/15082.pdf
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    References listed on IDEAS

    as
    1. Kenneth A. Kavajecz, 1999. "A Specialist's Quoted Depth and the Limit Order Book," Journal of Finance, American Finance Association, vol. 54(2), pages 747-771, April.
    2. Foster, F Douglas & Viswanathan, S, 1990. "A Theory of the Interday Variations in Volume, Variance, and Trading Costs in Securities Markets," The Review of Financial Studies, Society for Financial Studies, vol. 3(4), pages 593-624.
    3. repec:bla:jfinan:v:59:y:2004:i:2:p:681-710 is not listed on IDEAS
    4. Seppi, Duane J, 1990. "Equilibrium Block Trading and Asymmetric Information," Journal of Finance, American Finance Association, vol. 45(1), pages 73-94, March.
    5. Sofianos, George & Werner, Ingrid M., 2000. "The trades of NYSE floor brokers," Journal of Financial Markets, Elsevier, vol. 3(2), pages 139-176, May.
    6. Madhavan, Ananth & Smidt, Seymour, 1993. "An Analysis of Changes in Specialist Inventories and Quotations," Journal of Finance, American Finance Association, vol. 48(5), pages 1595-1628, December.
    7. Grossman, Sanford J, 1992. "The Informational Role of Upstairs and Downstairs Trading," The Journal of Business, University of Chicago Press, vol. 65(4), pages 509-528, October.
    8. Frank De Jong & Peter C. Schotman, 2010. "Price Discovery in Fragmented Markets," Journal of Financial Econometrics, Oxford University Press, vol. 8(1), pages 1-28, Winter.
    9. Michael J. Barclay & Terrence Hendershott & Kenneth Kotz, 2006. "Automation versus Intermediation: Evidence from Treasuries Going Off the Run," Journal of Finance, American Finance Association, vol. 61(5), pages 2395-2414, October.
    10. Glosten, Lawrence R. & Milgrom, Paul R., 1985. "Bid, ask and transaction prices in a specialist market with heterogeneously informed traders," Journal of Financial Economics, Elsevier, vol. 14(1), pages 71-100, March.
    11. Madhavan, Ananth & Cheng, Minder, 1997. "In Search of Liquidity: Block Trades in the Upstairs and Downstairs Markets," The Review of Financial Studies, Society for Financial Studies, vol. 10(1), pages 175-203.
    12. Frijns, Bart & Schotman, Peter, 2009. "Price discovery in tick time," Journal of Empirical Finance, Elsevier, vol. 16(5), pages 759-776, December.
    13. Amihud, Yakov, 2002. "Illiquidity and stock returns: cross-section and time-series effects," Journal of Financial Markets, Elsevier, vol. 5(1), pages 31-56, January.
    14. He, Yan & Lin, Hai & Wang, Junbo & Wu, Chunchi, 2009. "Price discovery in the round-the-clock U.S. Treasury market," Journal of Financial Intermediation, Elsevier, vol. 18(3), pages 464-490, July.
    15. Murphy, Kevin M & Topel, Robert H, 2002. "Estimation and Inference in Two-Step Econometric Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 88-97, January.
    16. Madhavan, Ananth & Richardson, Matthew & Roomans, Mark, 1997. "Why Do Security Prices Change? A Transaction-Level Analysis of NYSE Stocks," The Review of Financial Studies, Society for Financial Studies, vol. 10(4), pages 1035-1064.
    17. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    18. Robert Battalio & Andrew Ellul & Robert Jennings, 2007. "Reputation Effects in Trading on the New York Stock Exchange," Journal of Finance, American Finance Association, vol. 62(3), pages 1243-1271, June.
    19. Madhavan, Ananth & Sofianos, George, 1998. "An empirical analysis of NYSE specialist trading," Journal of Financial Economics, Elsevier, vol. 48(2), pages 189-210, May.
    20. 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.
    21. Benveniste, Lawrence M. & Marcus, Alan J. & Wilhelm, William J., 1992. "What's special about the specialist?," Journal of Financial Economics, Elsevier, vol. 32(1), pages 61-86, August.
    22. Hasbrouck, Joel, 2004. "Liquidity in the Futures Pits: Inferring Market Dynamics from Incomplete Data," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 39(2), pages 305-326, June.
    23. Oleg Korenok & Bruce Mizrach & Stanislav Radchenko, 2011. "A Structural Approach To Information Shares," Departmental Working Papers 201130, Rutgers University, Department of Economics.
    24. Kempf, Alexander & Korn, Olaf, 1999. "Market depth and order size1," Journal of Financial Markets, Elsevier, vol. 2(1), pages 29-48, February.
    25. Hasabrouck, Joel & Sofianos, George, 1993. "The Trades of Market Makers: An Empirical Analysis of NYSE Specialists," Journal of Finance, American Finance Association, vol. 48(5), pages 1565-1593, December.
    26. Lin, Ji-Chai & Sanger, Gary C & Booth, G Geoffrey, 1995. "Trade Size and Components of the Bid-Ask Spread," The Review of Financial Studies, Society for Financial Studies, vol. 8(4), pages 1153-1183.
    27. Michael J. Barclay, 2003. "Price Discovery and Trading After Hours," The Review of Financial Studies, Society for Financial Studies, vol. 16(4), pages 1041-1073.
    28. Anat R. Admati, Paul Pfleiderer, 1988. "A Theory of Intraday Patterns: Volume and Price Variability," The Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 3-40.
    29. de Jong, F.C.J.M. & Schotman, P.C., 2010. "Price discovery in fragmented markets," Other publications TiSEM 4650a9e7-c4cf-41cf-a771-e, Tilburg University, School of Economics and Management.
    30. Hasbrouck, Joel, 1993. "Assessing the Quality of a Security Market: A New Approach to Transaction-Cost Measurement," The Review of Financial Studies, Society for Financial Studies, vol. 6(1), pages 191-212.
    31. Roll, Richard, 1984. "A Simple Implicit Measure of the Effective Bid-Ask Spread in an Efficient Market," Journal of Finance, American Finance Association, vol. 39(4), pages 1127-1139, September.
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    Cited by:

    1. Gousgounis, Eleni & Onur, Esen, 2018. "The effect of pit closure on futures trading," Journal of Commodity Markets, Elsevier, vol. 10(C), pages 69-90.

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    More about this item

    Keywords

    Afterhours Trading; Market microstructure; Kalman filter;
    All these keywords.

    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
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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