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The Investors Exchange’s (IEX) impact on investors

Author

Listed:
  • Alan Chow

    (University of South Alabama)

  • Kyre Dane Lahtinen

    (Wright State University)

  • Chris Lawrey

    (University of South Alabama)

Abstract

The Investors Exchange (IEX) claims that it improves investor transactions in the US Equity markets. The founders of IEX suggest that other equity exchanges cater more to traders such as high-frequency and algorithmic traders, thus giving them a distinct advantage over the typical investor. We examine the immediate impact IEX had on US equity markets when it became a national exchange in mid-2016. Initial analysis supports that the IEX shows signs of meeting their intent to provide a more investor friendly exchange for those who chose to trade on it.

Suggested Citation

  • Alan Chow & Kyre Dane Lahtinen & Chris Lawrey, 2021. "The Investors Exchange’s (IEX) impact on investors," Journal of Asset Management, Palgrave Macmillan, vol. 22(1), pages 51-61, February.
    • Handle: RePEc:pal:assmgt:v:22:y:2021:i:1:d:10.1057_s41260-020-00194-x
    DOI: 10.1057/s41260-020-00194-x
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    References listed on IDEAS

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    1. Acharya, Viral V. & Pedersen, Lasse Heje, 2005. "Asset pricing with liquidity risk," Journal of Financial Economics, Elsevier, vol. 77(2), pages 375-410, August.
    2. Chordia, Tarun & Roll, Richard & Subrahmanyam, Avanidhar, 2008. "Liquidity and market efficiency," Journal of Financial Economics, Elsevier, vol. 87(2), pages 249-268, February.
    3. Terrence Hendershott & Charles M. Jones & Albert J. Menkveld, 2011. "Does Algorithmic Trading Improve Liquidity?," Journal of Finance, American Finance Association, vol. 66(1), pages 1-33, February.
    4. Hendershott, Terrence & Riordan, Ryan, 2013. "Algorithmic Trading and the Market for Liquidity," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 48(4), pages 1001-1024, August.
    5. Menkveld, Albert J., 2013. "High frequency trading and the new market makers," Journal of Financial Markets, Elsevier, vol. 16(4), pages 712-740.
    6. Pastor, Lubos & Stambaugh, Robert F., 2003. "Liquidity Risk and Expected Stock Returns," Journal of Political Economy, University of Chicago Press, vol. 111(3), pages 642-685, June.
    7. Chakravarty, Sugato & Jain, Pankaj & Upson, James & Wood, Robert, 2012. "Clean Sweep: Informed Trading through Intermarket Sweep Orders," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 47(2), pages 415-435, April.
    8. O'Hara, Maureen & Ye, Mao, 2011. "Is market fragmentation harming market quality?," Journal of Financial Economics, Elsevier, vol. 100(3), pages 459-474, June.
    9. Davies, Ryan J. & Kim, Sang Soo, 2009. "Using matched samples to test for differences in trade execution costs," Journal of Financial Markets, Elsevier, vol. 12(2), pages 173-202, May.
    10. Boehmer, Ekkehart, 2005. "Dimensions of execution quality: Recent evidence for US equity markets," Journal of Financial Economics, Elsevier, vol. 78(3), pages 553-582, December.
    11. Ekkehart Boehmer & Eric K. Kelley, 2009. "Institutional Investors and the Informational Efficiency of Prices," The Review of Financial Studies, Society for Financial Studies, vol. 22(9), pages 3563-3594, September.
    12. Bessembinder, Hendrik, 2003. "Trade Execution Costs and Market Quality after Decimalization," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 38(4), pages 747-777, December.
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