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High frequency trading and extreme price movements

Author

Listed:
  • Brogaard, Jonathan
  • Carrion, Allen
  • Moyaert, Thibaut
  • Riordan, Ryan
  • Shkilko, Andriy
  • Sokolov, Konstantin

Abstract

Are endogenous liquidity providers (ELPs) reliable in times of market stress? We examine the activity of a common ELP type—high frequency traders (HFTs)—around extreme price movements (EPMs). We find that on average HFTs provide liquidity during EPMs by absorbing imbalances created by non-high frequency traders (nHFTs). Yet HFT liquidity provision is limited to EPMs in single stocks. When several stocks experience simultaneous EPMs, HFT liquidity demand dominates their supply. There is little evidence of HFTs causing EPMs.

Suggested Citation

  • Brogaard, Jonathan & Carrion, Allen & Moyaert, Thibaut & Riordan, Ryan & Shkilko, Andriy & Sokolov, Konstantin, 2018. "High frequency trading and extreme price movements," Journal of Financial Economics, Elsevier, vol. 128(2), pages 253-265.
  • Handle: RePEc:eee:jfinec:v:128:y:2018:i:2:p:253-265
    DOI: 10.1016/j.jfineco.2018.02.002
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Bellia, Mario & Christensen, Kim & Kolokolov, Aleksey & Pelizzon, Loriana & Renò, Roberto, 2020. "High-frequency trading during flash crashes: Walk of fame or hall of shame?," SAFE Working Paper Series 270, Leibniz Institute for Financial Research SAFE.
    2. Nilabhra Bhattacharya & Bidisha Chakrabarty & Xu (Frank) Wang, 0. "High-frequency traders and price informativeness during earnings announcements," Review of Accounting Studies, Springer, vol. 0, pages 1-44.
    3. Jangkoo Kang & Kyung Yoon Kwon & Wooyeon Kim, 2020. "Flow toxicity of high‐frequency trading and its impact on price volatility: Evidence from the KOSPI 200 futures market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(2), pages 164-191, February.
    4. Sida Li & Xin Wang & Mao Ye, 2019. "Who Provides Liquidity, and When?," NBER Working Papers 25972, National Bureau of Economic Research, Inc.
    5. Breedon, Francis & Chen, Louisa & Ranaldo, Angelo & Vause, Nicholas, 2018. "Judgement Day: algorithmic trading around the Swiss franc cap removal," Bank of England working papers 711, Bank of England.
    6. Gonçalves, Jorge & Kräussl, Roman & Levin, Vladimir, 2019. "Do "speed bumps" prevent accidents in financial markets?," CFS Working Paper Series 636, Center for Financial Studies (CFS).
    7. 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.
    8. Francesco Cordoni & Fabrizio Lillo, 2020. "Instabilities in Multi-Asset and Multi-Agent Market Impact Games," Papers 2004.03546, arXiv.org, revised Jun 2020.
    9. Floris Laly & Mikael Petitjean, 2020. "Mini flash crashes: Review, taxonomy and policy responses," Bulletin of Economic Research, Wiley Blackwell, vol. 72(3), pages 251-271, July.
    10. Aït-Sahalia, Yacine & Brunetti, Celso, 2020. "High frequency traders and the price process," Journal of Econometrics, Elsevier, vol. 217(1), pages 20-45.

    More about this item

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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