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High frequency trading and the new market makers

  • Menkveld, Albert J.
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    This paper characterizes the trading strategy of a large high frequency trader (HFT). The HFT incurs a loss on its inventory but earns a profit on the bid–ask spread. Sharpe ratio calculations show that performance is very sensitive to cost of capital assumptions. The HFT employs a cross-market strategy as half of its trades materialize on the incumbent market and the other half on a small, high-growth entrant market. Its trade participation rate in these markets is 8.1% and 64.4%, respectively. In both markets, four out of five of its trades are passive i.e., its price quote was consumed by others.

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    File URL: http://www.sciencedirect.com/science/article/pii/S1386418113000281
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    Article provided by Elsevier in its journal Journal of Financial Markets.

    Volume (Year): 16 (2013)
    Issue (Month): 4 ()
    Pages: 712-740

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    Handle: RePEc:eee:finmar:v:16:y:2013:i:4:p:712-740
    Contact details of provider: Web page: http://www.elsevier.com/locate/finmar

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    1. Thierry Foucault & Albert J. Menkveld, 2008. "Competition for Order Flow and Smart Order Routing Systems," Journal of Finance, American Finance Association, vol. 63(1), pages 119-158, 02.
    2. Glosten, Lawrence R. & Milgrom, Paul R., 1985. "Bid, ask and transaction prices in a specialist market with heterogeneously informed traders," Journal of Financial Economics, Elsevier, vol. 14(1), pages 71-100, March.
    3. O'Hara, Maureen & Ye, Mao, 2011. "Is market fragmentation harming market quality?," Journal of Financial Economics, Elsevier, vol. 100(3), pages 459-474, June.
    4. Denis Gromb & Dimitri Vayanos, 2002. "Equilibrium and welfare in markets with financially constrained arbitrageurs," LSE Research Online Documents on Economics 448, London School of Economics and Political Science, LSE Library.
    5. Hendershott, Terrence & Jones, Charles M. & Menkveld, Albert J., 2008. "Does algorithmic trading improve liquidity?," CFS Working Paper Series 2008/41, Center for Financial Studies (CFS).
    6. Markus K. Brunnermeier & Lasse Heje Pedersen, 2007. "Market Liquidity and Funding Liquidity," NBER Working Papers 12939, National Bureau of Economic Research, Inc.
    7. Hoffmann, Peter, 2012. "A dynamic limit order market with fast and slow traders," MPRA Paper 44621, University Library of Munich, Germany, revised Jan 2013.
    8. Chakrabarty, Bidisha & Moulton, Pamela C., 2012. "Earnings announcements and attention constraints: The role of market design," Journal of Accounting and Economics, Elsevier, vol. 53(3), pages 612-634.
    9. Biais, Bruno & Hillion, Pierre & Spatt, Chester, 1995. " An Empirical Analysis of the Limit Order Book and the Order Flow in the Paris Bourse," Journal of Finance, American Finance Association, vol. 50(5), pages 1655-89, December.
    10. Pagano, Marco, 1986. "Trading Volume and Asset Liquidity," CEPR Discussion Papers 142, C.E.P.R. Discussion Papers.
    11. Madhavan, Ananth, 2000. "Market microstructure: A survey," Journal of Financial Markets, Elsevier, vol. 3(3), pages 205-258, August.
    12. Hasbrouck, Joel & Saar, Gideon, 2013. "Low-latency trading," Journal of Financial Markets, Elsevier, vol. 16(4), pages 646-679.
    13. Carrion, Allen, 2013. "Very fast money: High-frequency trading on the NASDAQ," Journal of Financial Markets, Elsevier, vol. 16(4), pages 680-711.
    14. Hoffmann, Peter, 2012. "A dynamic limit order market with fast and slow traders," MPRA Paper 39855, University Library of Munich, Germany.
    15. Menkveld, Albert J. & Koopman, Siem Jan & Lucas, Andre, 2007. "Modeling Around-the-Clock Price Discovery for Cross-Listed Stocks Using State Space Methods," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 213-225, April.
    16. Alain Chaboud & Benjamin Chiquoine & Erik Hjalmarsson & Clara Vega, 2009. "Rise of the machines: algorithmic trading in the foreign exchange market," International Finance Discussion Papers 980, Board of Governors of the Federal Reserve System (U.S.).
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