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Resiliency of the limit order book

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  • Lo, Danny K.
  • Hall, Anthony D.

Abstract

This study contributes to our understanding of the liquidity replenishment process in limit order book markets. A measure of resiliency is proposed and quantified for different liquidity shocks through the impulse response functions generated from a high frequency vector autoregression. The model reveals a rich set of liquidity dynamics. Liquidity shocks were found to have immediate detrimental effects on other dimensions of liquidity but the replenishment process generally occurs quickly, indicating limit order books are resilient. Cross-sectionally, resiliency is found to be consistently high across all large stocks, consistent with competition for liquidity provision coming from computerized algorithms. For other stocks, greater variation in resiliency is observed, indicating more selective participation by these liquidity providers.

Suggested Citation

  • Lo, Danny K. & Hall, Anthony D., 2015. "Resiliency of the limit order book," Journal of Economic Dynamics and Control, Elsevier, vol. 61(C), pages 222-244.
    • Handle: RePEc:eee:dyncon:v:61:y:2015:i:c:p:222-244
    DOI: 10.1016/j.jedc.2015.09.012
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    Cited by:

    1. Colin Chan, 2023. "dYdX: Liquidity Providers' Incentive Programme Review," Papers 2307.03935, arXiv.org.
    2. Mehdi Arzandeh & Julieta Frank, 2019. "Price Discovery in Agricultural Futures Markets: Should We Look beyond the Best Bid-Ask Spread?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 101(5), pages 1482-1498.
    3. Helder Rojas & Artem Logachov & Anatoly Yambartsev, 2023. "Order Book Dynamics with Liquidity Fluctuations: Asymptotic Analysis of Highly Competitive Regime," Mathematics, MDPI, vol. 11(20), pages 1-24, October.
    4. Griffith, Todd G. & Roseman, Brian S., 2019. "Making cents of tick sizes: The effect of the 2016 U.S. SEC tick size pilot on limit order book liquidity," Journal of Banking & Finance, Elsevier, vol. 101(C), pages 104-121.
    5. Erdinc Akyildirim & Shaen Corbet & Guzhan Gulay & Duc Khuong Nguyen & Ahmet Sensoy, 2019. "Order Flow Persistence in Equity Spot and Futures Markets: Evidence from a Dynamic Emerging Market," Working Papers 2019-011, Department of Research, Ipag Business School.
    6. Olbrys, Joanna & Mursztyn, Michal, 2019. "Estimation of intraday stock market resiliency: Short-Time Fourier Transform approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
    7. Ulrich Horst & Evgueni Kivman, 2024. "Optimal trade execution under small market impact and portfolio liquidation with semimartingale strategies," Finance and Stochastics, Springer, vol. 28(3), pages 759-812, July.
    8. Siu, Chi Chung & Guo, Ivan & Zhu, Song-Ping & Elliott, Robert J., 2019. "Optimal execution with regime-switching market resilience," Journal of Economic Dynamics and Control, Elsevier, vol. 101(C), pages 17-40.
    9. Tang, Chun & Liu, Xiaoxing & Zhou, Donghai, 2022. "Financial market resilience and financial development: A global perspective," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    10. Mehdi Arzandeh & Julieta Frank, 2019. "Price Discovery in Agricultural Futures Markets: Should We Look beyond the Best Bid‐Ask Spread?," American Journal of Agricultural Economics, John Wiley & Sons, vol. 101(5), pages 1482-1498, October.
    11. Ulrich Horst & Evgueni Kivman, 2021. "Optimal trade execution under small market impact and portfolio liquidation with semimartingale strategies," Papers 2103.05957, arXiv.org, revised Jul 2023.
    12. Zhicheng Li & Haipeng Xing & Xinyun Chen, 2019. "A multifactor regime-switching model for inter-trade durations in the limit order market," Papers 1912.00764, arXiv.org.
    13. Xinyue He & Teresa Serra & Philip Garcia, 2021. "Resilience in “Flash Events” in the Corn and Lean Hog Futures Markets," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(2), pages 743-764, March.
    14. Olbrys, Joanna & Mursztyn, Michal, 2019. "Measuring stock market resiliency with Discrete Fourier Transform for high frequency data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 513(C), pages 248-256.
    15. Isao Yagi & Yuji Masuda & Takanobu Mizuta, 2020. "Analysis of the Impact of High-Frequency Trading on Artificial Market Liquidity," Papers 2010.13038, arXiv.org.

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    More about this item

    Keywords

    Resiliency; Liquidity; Limit order book; Liquidity shocks;
    All these keywords.

    JEL classification:

    • 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
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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