Algorithmic Liquidity Provision

Algorithmic Liquidity Provision is a systematic method within market liquidity frameworks that employs automated, rule-based algorithms to dynamically supply or adjust liquidity in financial markets by determining optimal bid and ask prices, trading volumes, and timing in response to real-time market conditions.

48

Publications

3.2K

Citations

97

Authors

87

Institutions

Publications per year

2017–2026

25

Authors

97

  1. ÁC
    Álvaro Cartea

    University of Oxford, United Kingdom

    4 publications · 77 citations

    4

    h-index

  2. TH
    Terrence Hendershott

    University of California, Berkeley, United States

    3 publications · 695 citations

    3

    h-index

  3. AC
    Alain Chaboud

    Federal Reserve Board of Governors, United States

    3 publications · 833 citations

    3

    h-index

  4. EH
    Erik Hjalmarsson

    Federal Reserve, United States

    3 publications · 833 citations

    3

    h-index

  5. BC
    Bidisha Chakrabarty

    Saint Louis University, United States

    3 publications · 56 citations

    3

    h-index

1–5 of 97

Venues

  1. SSRN Electronic Journal

    Repository · 17 publications · 900 citations

    14

    h-index

  2. arXiv (Cornell University)

    Repository · 4 publications · 104 citations

    4

    h-index

  3. The Journal of Finance

    3 publications · 1.2K citations

    3

    h-index

  4. Journal of Banking & Finance

    2 publications · 105 citations

    2

    h-index

  5. Pacific-Basin Finance Journal

    1 publications · 12 citations

    1

    h-index

1–5