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Throttling hyperactive robots – Order-to-trade ratios at the Oslo Stock Exchange

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  • Jørgensen, Kjell
  • Skjeltorp, Johannes
  • Ødegaard, Bernt Arne

Abstract

We investigate the effects of introducing a fee on excessive order-to-trade ratios (OTRs) on market quality at the Oslo Stock Exchange (OSE). We find that traders reacted to the regulation as measured OTRs fell. However, market quality, measured with depth, spreads, and realized volatility, remain largely unaffected. This result differs sharply from the experience in other markets, such as Italy and Canada, where similar regulatory changes have been accompanied by a worsening of liquidity. The unchanged market quality at the OSE is likely due to the different design of the regulation, which is tailored to encourage liquidity supply.

Suggested Citation

  • Jørgensen, Kjell & Skjeltorp, Johannes & Ødegaard, Bernt Arne, 2018. "Throttling hyperactive robots – Order-to-trade ratios at the Oslo Stock Exchange," Journal of Financial Markets, Elsevier, vol. 37(C), pages 1-16.
    • Handle: RePEc:eee:finmar:v:37:y:2018:i:c:p:1-16
    DOI: 10.1016/j.finmar.2017.09.001
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    Cited by:

    1. Klova, Valeriia & Odegaard, Bernt Arne, 2018. "Equity trading costs have fallen less than commonly thought. Evidence using alternative trading cost estimators," UiS Working Papers in Economics and Finance 2018/4, University of Stavanger, revised 2019.
    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. Marta Khomyn, 2020. "Essays on Modern Market Structure," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 2-2020, January-A.
    4. Foley, Sean & Kwan, Amy & Philip, Richard & Ødegaard, Bernt Arne, 2022. "Contagious margin calls: How COVID-19 threatened global stock market liquidity," Journal of Financial Markets, Elsevier, vol. 59(PA).
    5. NIdhi Aggarwal & Venkatesh Panchapagesan & Susan Thomas, 2022. "When is the Order to Trade Ratio fee effective?," Working Papers 8, xKDR.
    6. Aggarwal, Nidhi & Panchapagesan, Venkatesh & Thomas, Susan, 2023. "When is the order-to-trade ratio fee effective?," Journal of Financial Markets, Elsevier, vol. 62(C).
    7. Nidhi Aggarwal & Venkatesh Panchapagesan & Susan Thomas, 2019. "When do regulatory interventions work?," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2019-011, Indira Gandhi Institute of Development Research, Mumbai, India.
    8. Khomyn, Marta & Putniņš, Tālis J., 2021. "Algos gone wild: What drives the extreme order cancellation rates in modern markets?," Journal of Banking & Finance, Elsevier, vol. 129(C).
    9. Ladley, Daniel, 2020. "The high frequency trade off between speed and sophistication," Journal of Economic Dynamics and Control, Elsevier, vol. 116(C).
    10. Kemme, David M. & McInish, Thomas H. & Zhang, Jiang, 2022. "Market fairness and efficiency: Evidence from the Tokyo Stock Exchange," Journal of Banking & Finance, Elsevier, vol. 134(C).
    11. Chung, Kee H. & Lee, Albert J. & Rösch, Dominik, 2020. "Tick size, liquidity for small and large orders, and price informativeness: Evidence from the Tick Size Pilot Program," Journal of Financial Economics, Elsevier, vol. 136(3), pages 879-899.
    12. Thiago W. Alves & Ionut Florescu & George Calhoun & Dragos Bozdog, 2020. "SHIFT: A Highly Realistic Financial Market Simulation Platform," Papers 2002.11158, arXiv.org, revised Aug 2020.
    13. Sean Foley & Tom G Meling & Bernt Arne Ødegaard, 2023. "Tick Size Wars: The Market Quality Effects of Pricing Grid Competition," Review of Finance, European Finance Association, vol. 27(2), pages 659-692.
    14. Thiago W. Alves & Ionuţ Florescu & Dragoş Bozdog, 2023. "Insights on the Statistics and Market Behavior of Frequent Batch Auctions," Mathematics, MDPI, vol. 11(5), pages 1-26, March.
    15. Daniel Ladley, 2019. "The Design and Regulation of High Frequency Traders," Discussion Papers in Economics 19/02, Division of Economics, School of Business, University of Leicester.
    16. Ekinci, Cumhur & Ersan, Oğuz, 2022. "High-frequency trading and market quality: The case of a “slightly exposed” market," International Review of Financial Analysis, Elsevier, vol. 79(C).

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    More about this item

    Keywords

    High frequency trading; Regulation; Order-to-trade ratio;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G20 - Financial Economics - - Financial Institutions and Services - - - General

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