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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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    References listed on IDEAS

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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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