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Algorithmic trading, the Flash Crash, and coordinated circuit breakers

Author

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  • Avanidhar Subrahmanyam

Abstract

Exchange officials and policymakers are interested in whether high frequency trading causes excessive price fluctuations and whether to impose circuit breakers in financial markets to combat such fluctuations. We review the literature on these topics and draw some conclusions on the likely impact of circuit breakers on financial markets.

Suggested Citation

  • Avanidhar Subrahmanyam, 2013. "Algorithmic trading, the Flash Crash, and coordinated circuit breakers," Borsa Istanbul Review, Research and Business Development Department, Borsa Istanbul, vol. 13(3), pages 4-9, September.
    • Handle: RePEc:bor:bistre:v:13:y:2013:i:3:p:4-9
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    Citations

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    Cited by:

    1. Clapham, Benjamin & Gomber, Peter & Haferkorn, Martin & Panz, Sven, 2017. "Managing excess volatility: Design and effectiveness of circuit breakers," SAFE Working Paper Series 195, Leibniz Institute for Financial Research SAFE.
    2. Nathalie Oriol & Iryna Veryzhenko, 2019. "Market structure or traders' behavior? A multi agent model to assess flash crash phenomena and their regulation," Quantitative Finance, Taylor & Francis Journals, vol. 19(7), pages 1075-1092, July.
    3. Cheng Xiang & Jing Lu, 2023. "Magnet effects of circuit breakers in electronic order‐driven markets: Evidence from China," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 1450-1469, April.
    4. Leal, Sandrine Jacob & Napoletano, Mauro, 2019. "Market stability vs. market resilience: Regulatory policies experiments in an agent-based model with low- and high-frequency trading," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 15-41.
    5. Mehmet F. Dicle & Kendra Reed, 2019. "Asymmetric return response to expected risk: policy implications," Journal of Financial Regulation and Compliance, Emerald Group Publishing Limited, vol. 27(3), pages 345-356, June.
    6. repec:hal:spmain:info:hdl:2441/6ummnc8nko827b2luohnctekk7 is not listed on IDEAS
    7. Carlos Castro & Diego A. Agudelo & Sergio Preciado, 2018. "Measuring the effectiveness of volatility auctions," Documentos de Trabajo de Valor Público 16988, Universidad EAFIT.
    8. Dubey, Ritesh Kumar & Chauhan, Yogesh & Syamala, Sudhakara Reddy, 2017. "Evidence of algorithmic trading from Indian equity market: Interpreting the transaction velocity element of financialization," Research in International Business and Finance, Elsevier, vol. 42(C), pages 31-38.
    9. Castro, Carlos & Agudelo, Diego A. & Preciado, Sergio, 2020. "Measuring the effectiveness of volatility auctions," International Review of Economics & Finance, Elsevier, vol. 70(C), pages 566-581.
    10. Sandrine Jacob Leal & Mauro Napoletano, 2017. "Market Stability vs. Market Resilience: Regulatory Policies Experiments in an Agent-Based Model with Low- and High-Frequency Trading," Post-Print hal-01768876, HAL.
    11. Diego A. Agudelo & Sergio Preciado & Carlos Castro, 2018. "Measuring the effectiveness of volatility auctions," Documentos de Trabajo de Valor Público 16943, Universidad EAFIT.
    12. repec:hal:spmain:info:hdl:2441/3utlh0ehcn860pus6p2p683ade is not listed on IDEAS
    13. Kun Li, 2019. "Do Circuit Breakers Impede Trading Behavior? A Study In Chinese Financial Market," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 64(05), pages 1-18, December.
    14. Ritesh Kumar Dubey & A. Sarath Babu & Rajneesh Ranjan Jha & Urvashi Varma, 2022. "Algorithmic Trading Efficiency and its Impact on Market-Quality," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 29(3), pages 381-409, September.

    More about this item

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • G20 - Financial Economics - - Financial Institutions and Services - - - General

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