Slippage Modeling

Slippage Modeling is a computational framework within algorithmic trading that quantifies the deviation between expected and actual execution prices of trades, distinguishing itself by incorporating market impact, liquidity constraints, and timing uncertainty to predict transaction cost under realistic market conditions.

88

Publications

2.7K

Citations

253

Authors

139

Institutions

Publications per year

2017–2026

25

Authors

253

  1. RG
    Ramón González

    Massachusetts Institute of Technology, United States

    2 publications · 83 citations

    2

    h-index

  2. GG
    Günther Grün

    Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

    2 publications · 71 citations

    2

    h-index

  3. CM
    Carlo Massimo Casciola

    Sapienza University of Rome, Italy

    2 publications · 36 citations

    2

    h-index

  4. MC
    Mauro Chinappi

    Sapienza University of Rome, Italy

    2 publications · 36 citations

    2

    h-index

  5. KN
    Keiji Nagatani

    Tohoku University, Japan

    2 publications · 71 citations

    2

    h-index

1–5 of 253

Venues

  1. Physics of Fluids

    5 publications · 98 citations

    5

    h-index

  2. Tribology International

    2 publications · 89 citations

    2

    h-index

  3. Molecular Biology and Evolution

    MBE · 2 publications · 144 citations

    2

    h-index

  4. Journal of Geophysical Research Atmospheres

    JGR · 2 publications · 53 citations

    2

    h-index

  5. Journal of Tribology

    2 publications · 30 citations

    2

    h-index

1–5