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Decreased price clustering in FTSE100 futures contracts following a transfer from floor to electronic trading

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  • Owain ap Gwilym
  • Evamena Alibo

Abstract

The issues of price clustering and electronic trading have triggered important recent debates, and generated interest from regulators due to their potential implications for market quality, stability, and fairness. This paper brings together these issues by examining whether price‐clustering behavior differs following a transfer of futures contracts from open outcry trading to an electronic system. The results are unique in demonstrating a structural change in price clustering following the move to automated trading, with the level of price clustering dropping from around 98.5% of prices at even ticks under floor trading to approximately 75% under electronic trading. Such a change in pricing behavior amounts to a reduction in the effective tick size, and is an important factor in reducing observed bid‐ask spreads. © 2003 Wiley Periodicals, Inc. Jrl Fut Mark 23:647–659, 2003

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  • Owain ap Gwilym & Evamena Alibo, 2003. "Decreased price clustering in FTSE100 futures contracts following a transfer from floor to electronic trading," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 23(7), pages 647-659, July.
  • Handle: RePEc:wly:jfutmk:v:23:y:2003:i:7:p:647-659
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    References listed on IDEAS

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    6. Qin Wang & Jun Zhang, 2016. "Trade Size Clustering In The E-Mini Index Futures Markets," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 39(3), pages 247-262, September.
    7. Christopher L. Gilbert & Herbert A. Rijken, 2006. "How is Futures Trading Affected by the Move to a Computerized Trading System? Lessons from the LIFFE FTSE 100 Contract," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 33(7‐8), pages 1267-1297, September.
    8. Karan Bhanot & Valeria Martinez & Zi Ning & Yiuman Tse, 2008. "Competition for Order Flow and Market Quality in the Gold and Silver Futures Markets," Working Papers 0036, College of Business, University of Texas at San Antonio.
    9. Das, Sougata & Kadapakkam, Palani-Rajan, 2020. "Machine over Mind? Stock price clustering in the era of algorithmic trading," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
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