Regime Detection

Regime Detection is a methodological framework within algorithmic trading analytics that identifies distinct, persistent states of market behavior characterized by statistically meaningful shifts in underlying dynamics, thereby differentiating periods governed by contrasting financial market conditions.

33

Publications

1.6K

Citations

109

Authors

55

Institutions

Publications per year

2017–2026

14

Authors

109

  1. GW
    George Wu

    University of Chicago, United States

    2 publications · 200 citations

    2

    h-index

  2. CM
    Cade Massey

    University of Pennsylvania, United States

    2 publications · 200 citations

    2

    h-index

  3. VV
    Valérie Vanhoorne

    Ghent University, Belgium

    1 publications · 54 citations

    1

    h-index

  4. NV
    Nicolas Vigaud

    Columbia University, United States

    1 publications · 50 citations

    1

    h-index

  5. GJ
    Gordon J. Ross

    University College London, United Kingdom

    1 publications · 16 citations

    1

    h-index

1–5 of 109

Venues

  1. Powder Technology

    2 publications · 83 citations

    2

    h-index

  2. Stochastic Models

    1 publications · 19 citations

    1

    h-index

  3. Sensors and Actuators B Chemical

    1 publications · 27 citations

    1

    h-index

  4. Journal of Financial and Quantitative Analysis

    JFQA · 1 publications · 18 citations

    1

    h-index

  5. Monthly Weather Review

    1 publications · 50 citations

    1

    h-index

1–5