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The role of algorithmic trading in stock liquidity and commonality in electronic limit order markets

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  • Moriyasu, Hiroshi
  • Wee, Marvin
  • Yu, Jing

Abstract

Using the adoption of the Arrowhead trading platform in January 2010 as an exogenous event, we investigate the effects of algorithmic trading on stock market liquidity and commonality in liquidity under different market conditions on the Tokyo Stock Exchange. After controlling for endogeneity, we find algorithmic trading increases stock liquidity by narrowing spreads and increasing market depth. Furthermore, algorithmic trading increases commonality in liquidity at both high and low frequency. These findings appear to arise due to the reduction in monitoring costs. Further analysis reveals that, following large market declines, the effect of algorithmic trading on spreads and market depth weakens while the effect on commonality in stock liquidity intensifies.

Suggested Citation

  • Moriyasu, Hiroshi & Wee, Marvin & Yu, Jing, 2018. "The role of algorithmic trading in stock liquidity and commonality in electronic limit order markets," Pacific-Basin Finance Journal, Elsevier, vol. 49(C), pages 103-128.
    • Handle: RePEc:eee:pacfin:v:49:y:2018:i:c:p:103-128
    DOI: 10.1016/j.pacfin.2018.04.004
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    2. Hung, Pi-Hsia & Lien, Donald, 2019. "Trading aggressiveness, order execution quality, and stock price movements: Evidence from the Taiwan stock exchange," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 60(C), pages 231-251.
    3. Camilleri, Silvio John & Galea, Francelle, 2019. "The Determinants of Securities Trading Activity: Evidence from four European Equity Markets," MPRA Paper 95298, University Library of Munich, Germany.
    4. Abdulrahman Alhassan & Atsuyuki Naka & Abdullah Noman, 2021. "Oil Market Factors as a Source of Commonality in Liquidity in International Equity Markets," JRFM, MDPI, vol. 14(8), pages 1-33, August.
    5. Khairul Zharif Zaharudin & Martin R. Young & Wei‐Huei Hsu, 2022. "High‐frequency trading: Definition, implications, and controversies," Journal of Economic Surveys, Wiley Blackwell, vol. 36(1), pages 75-107, February.
    6. Ramos, Henrique Pinto & Perlin, Marcelo Scherer, 2020. "Does algorithmic trading harm liquidity? Evidence from Brazil," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).

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    More about this item

    Keywords

    Algorithmic trading; Liquidity; Commonality in liquidity; Market decline;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G24 - Financial Economics - - Financial Institutions and Services - - - Investment Banking; Venture Capital; Brokerage

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