Algorithmic Trading Regulation

Algorithmic Trading Regulation is a branch of financial regulatory law that governs the use of automated systems and algorithms in trading activities to ensure market integrity, fairness, and transparency by specifically addressing risks associated with high-frequency trading, market manipulation, and systemic instability.

34

Publications

1.6K

Citations

53

Authors

44

Institutions

Publications per year

2017–2026

12

Authors

53

  1. AW
    Andrew W. Lo

    Massachusetts Institute of Technology, United States

    2 publications · 259 citations

    2

    h-index

  2. FC
    Frank C. Graves

    Babson College, United States

    2 publications · 154 citations

    2

    h-index

  3. PK
    Pavitra K. Kumar

    Babson College, United States

    2 publications · 154 citations

    2

    h-index

  4. MA
    Michael A. Goldstein

    Babson College, United States

    2 publications · 154 citations

    2

    h-index

  5. AK
    Andrei Kirilenko

    University of Cambridge, United Kingdom

    2 publications · 259 citations

    2

    h-index

1–5 of 53

Venues

  1. Economy and Society

    3 publications · 160 citations

    3

    h-index

  2. SSRN Electronic Journal

    Repository · 3 publications · 112 citations

    3

    h-index

  3. Law and Financial Markets Review

    LFMR · 1 publications · 18 citations

    1

    h-index

  4. European Business Organization Law Review

    EBOR · 1 publications · 133 citations

    1

    h-index

  5. International Journal of Finance & Economics

    IJFE · 1 publications · 28 citations

    1

    h-index

1–5