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Connectivity costs and price efficiency: An event study

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Listed:
  • Alex Frino
  • Ognjen Kovacevic
  • Vito Mollica
  • Robert I. Webb

Abstract

This paper investigates the impact of changes in the speed and pricing of direct market access on market efficiency, as measured by the frequency, duration, and profitability of arbitrage strategies. Two natural experiments on the Eurex exchange are identified: an exchange‐wide improvement in technology reducing message latency, and a reduction in the direct exchange access fee. We analyze their impact on the trading of Euro Stoxx 50 Index futures and the Xtrackers Euro Stoxx 50 Ucits ETF. A decrease in the frequency and duration of arbitrages following both events is observed.

Suggested Citation

  • Alex Frino & Ognjen Kovacevic & Vito Mollica & Robert I. Webb, 2022. "Connectivity costs and price efficiency: An event study," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(2), pages 296-309, February.
  • Handle: RePEc:wly:jfutmk:v:42:y:2022:i:2:p:296-309
    DOI: 10.1002/fut.22281
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    References listed on IDEAS

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    1. Andrew W. Lo, A. Craig MacKinlay, 1988. "Stock Market Prices do not Follow Random Walks: Evidence from a Simple Specification Test," The Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 41-66.
    2. Frino, Alex & Mollica, Vito & Webb, Robert I. & Zhang, Shunquan, 2017. "The impact of latency sensitive trading on high frequency arbitrage opportunities," Pacific-Basin Finance Journal, Elsevier, vol. 45(C), pages 91-102.
    3. Biais, Bruno & Foucault, Thierry & Moinas, Sophie, 2015. "Equilibrium fast trading," Journal of Financial Economics, Elsevier, vol. 116(2), pages 292-313.
    4. Thierry Foucault & Johan Hombert & Ioanid Roşu, 2016. "News Trading and Speed," Journal of Finance, American Finance Association, vol. 71(1), pages 335-382, February.
    5. Grossman, Sanford J & Stiglitz, Joseph E, 1980. "On the Impossibility of Informationally Efficient Markets," American Economic Review, American Economic Association, vol. 70(3), pages 393-408, June.
    6. Scholtus, Martin & van Dijk, Dick & Frijns, Bart, 2014. "Speed, algorithmic trading, and market quality around macroeconomic news announcements," Journal of Banking & Finance, Elsevier, vol. 38(C), pages 89-105.
    7. Hendershott, Terrence & Moulton, Pamela C., 2011. "Automation, speed, and stock market quality: The NYSE's Hybrid," Journal of Financial Markets, Elsevier, vol. 14(4), pages 568-604, November.
    8. Easley, David & Hendershott, Terrence & Ramadorai, Tarun, 2014. "Leveling the trading field," Journal of Financial Markets, Elsevier, vol. 17(C), pages 65-93.
    9. Harold Demsetz, 1968. "The Cost of Transacting," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 82(1), pages 33-53.
    10. Alex Frino & Michael D. McKenzie, 2002. "The pricing of stock index futures spreads at contract expiration," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 22(5), pages 451-469, May.
    11. Foley, Sean & Putniņš, Tālis J., 2016. "Should we be afraid of the dark? Dark trading and market quality," Journal of Financial Economics, Elsevier, vol. 122(3), pages 456-481.
    12. Yacine Aït-Sahalia & Mehmet Saglam, 2013. "High Frequency Traders: Taking Advantage of Speed," NBER Working Papers 19531, National Bureau of Economic Research, Inc.
    13. Terrence Hendershott & Charles M. Jones, 2005. "Island Goes Dark: Transparency, Fragmentation, and Regulation," The Review of Financial Studies, Society for Financial Studies, vol. 18(3), pages 743-793.
    14. Alain P. Chaboud & Benjamin Chiquoine & Erik Hjalmarsson & Clara Vega, 2014. "Rise of the Machines: Algorithmic Trading in the Foreign Exchange Market," Journal of Finance, American Finance Association, vol. 69(5), pages 2045-2084, October.
    15. Jonathan Brogaard & Björn Hagströmer & Lars Nordén & Ryan Riordan, 2015. "Trading Fast and Slow: Colocation and Liquidity," The Review of Financial Studies, Society for Financial Studies, vol. 28(12), pages 3407-3443.
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