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Profitability and Market Quality of High Frequency Market-makers: An Empirical Investigation

Author

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  • Yergeau, Gabriel

    (HEC Montreal, Canada Research Chair in Risk Management)

Abstract

Financial markets in contemporary regulatory settings require the presence of high-frequency liquidity providers. We present an applied study of the profitability and the impact on market quality of an individual high-frequency trader acting as a market-maker. Using a sample of sixty stocks over a six-month period, we implement the optimal quoting policy (OQP) of liquidity provision from Ait-Sahalia and Saglam's (2014) dynamic inventory management model. The OQP allows the high-frequency trader to extract a constant annuity from the market but its profitability is insufficient to cover the costs of market-making activities. The OQP is embedded in a trading strategy that relaxes the model’s constraint on the quantity traded. Circuit-breakers are implemented and market imperfections are considered. Profits excluding maker-fees and considering transaction fees are economically significant. We propose a methodology to adjust the returns for asynchronous trading and varying leverage levels associated with dynamic inventory management. This allows us to qualify high trade volume as a proxy of informed trading. The high-frequency trader behaves as a constant liquidity provider and has a positive effect on market quality even in periods of market stress.

Suggested Citation

  • Yergeau, Gabriel, 2016. "Profitability and Market Quality of High Frequency Market-makers: An Empirical Investigation," Working Papers 16-3, HEC Montreal, Canada Research Chair in Risk Management.
    • Handle: RePEc:ris:crcrmw:2016_003
    Note: This is the first paper of this author. He does not have a short ID.
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    References listed on IDEAS

    as
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    More about this item

    Keywords

    Algorithmic trading; electronic markets; high-frequency trading; limit order book; liquidity; market-making; market efficiency; market microstructure.;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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