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Do stock exchanges specialize? Evidence from the New Jersey transaction tax proposal

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  • Irtisam, Rasheek
  • Sokolov, Konstantin

Abstract

Exchange ownership in the U.S. is often characterized as excessively concentrated. This leads to a concern that such concentration may prevent peripheral exchanges from mitigating adverse selection costs associated with low-latency arbitrage. We examine this concern using low-latency connectivity disruptions caused by temporary relocations of two markets, NYSE Chicago and Nasdaq PSX, in response to a transaction bill proposal. Although both exchanges had previously announced measures to curb low-latency trading, the connectivity disruptions cause a substantial reduction in adverse selection. These results suggest that peripheral markets have little incentive to implement measures restricting low-latency arbitrage.

Suggested Citation

  • Irtisam, Rasheek & Sokolov, Konstantin, 2023. "Do stock exchanges specialize? Evidence from the New Jersey transaction tax proposal," Journal of Banking & Finance, Elsevier, vol. 154(C).
  • Handle: RePEc:eee:jbfina:v:154:y:2023:i:c:s0378426623001474
    DOI: 10.1016/j.jbankfin.2023.106942
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    1. Andriy Shkilko & Konstantin Sokolov, 2020. "Every Cloud Has a Silver Lining: Fast Trading, Microwave Connectivity, and Trading Costs," Journal of Finance, American Finance Association, vol. 75(6), pages 2899-2927, December.
    2. Bongaerts, Dion & Achter, Mark Van, 2021. "Competition among liquidity providers with access to high-frequency trading technology," Journal of Financial Economics, Elsevier, vol. 140(1), pages 220-249.
    3. Craig W. Holden & Stacey Jacobsen, 2014. "Liquidity Measurement Problems in Fast, Competitive Markets: Expensive and Cheap Solutions," Journal of Finance, American Finance Association, vol. 69(4), pages 1747-1785, August.
    4. Biais, Bruno & Foucault, Thierry & Moinas, Sophie, 2015. "Equilibrium fast trading," Journal of Financial Economics, Elsevier, vol. 116(2), pages 292-313.
    5. Andrei Kirilenko & Albert S. Kyle & Mehrdad Samadi & Tugkan Tuzun, 2017. "The Flash Crash: High-Frequency Trading in an Electronic Market," Journal of Finance, American Finance Association, vol. 72(3), pages 967-998, June.
    6. Lee, Charles M C & Ready, Mark J, 1991. "Inferring Trade Direction from Intraday Data," Journal of Finance, American Finance Association, vol. 46(2), pages 733-746, June.
    7. Beatty, Timothy K.M. & Shimshack, Jay P., 2011. "School buses, diesel emissions, and respiratory health," Journal of Health Economics, Elsevier, vol. 30(5), pages 987-999.
    8. Michael Goldstein & Gregory Laughlin & Anthony Aguirre & Joseph Grundfest, 2014. "Information Transmission between Financial Markets in Chicago and New York," The Financial Review, Eastern Finance Association, vol. 49(2), pages 283-312, May.
    9. Ekkehart Boehmer & Dan Li & Gideon Saar, 2018. "The Competitive Landscape of High-Frequency Trading Firms," Review of Financial Studies, Society for Financial Studies, vol. 31(6), pages 2227-2276.
    10. Baldauf, Markus & Mollner, Joshua, 2021. "Trading in Fragmented Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 56(1), pages 93-121, February.
    11. Bidisha Chakrabarty & Pankaj K. Jain & Andriy Shkilko & Konstantin Sokolov, 2021. "Unfiltered Market Access and Liquidity: Evidence from the SEC Rule 15c3-5," Management Science, INFORMS, vol. 67(2), pages 1183-1198, February.
    12. Brolley, Michael & Cimon, David A., 2020. "Order-Flow Segmentation, Liquidity, and Price Discovery: The Role of Latency Delays," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 55(8), pages 2555-2587, December.
    13. 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.
    14. Menkveld, Albert J., 2013. "High frequency trading and the new market makers," Journal of Financial Markets, Elsevier, vol. 16(4), pages 712-740.
    15. Michael Goldstein & Albert J. Menkveld, 2014. "High-Frequency Traders and Market Structure," The Financial Review, Eastern Finance Association, vol. 49(2), pages 333-344, May.
    16. Eric Budish & Peter Cramton & John Shim, 2015. "Editor's Choice The High-Frequency Trading Arms Race: Frequent Batch Auctions as a Market Design Response," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(4), pages 1547-1621.
    17. Yong Chao & Chen Yao & Mao Ye, 2019. "Why Discrete Price Fragments U.S. Stock Exchanges and Disperses Their Fee Structures," Review of Financial Studies, Society for Financial Studies, vol. 32(3), pages 1068-1101.
    18. Jonathan Brogaard & Terrence Hendershott & Ryan Riordan, 2014. "High-Frequency Trading and Price Discovery," The Review of Financial Studies, Society for Financial Studies, vol. 27(8), pages 2267-2306.
    19. Jonathan Brogaard & Björn Hagströmer & Lars Nordén & Ryan Riordan, 2015. "Trading Fast and Slow: Colocation and Liquidity," Review of Financial Studies, Society for Financial Studies, vol. 28(12), pages 3407-3443.
    20. Katya Malinova & Andreas Park, 2015. "Subsidizing Liquidity: The Impact of Make/Take Fees on Market Quality," Journal of Finance, American Finance Association, vol. 70(2), pages 509-536, April.
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