Robust Risk Modeling

Robust Risk Modeling is a risk modeling approach that belongs to the class of quantitative frameworks designed for uncertainty assessment, distinguished by its ability to maintain stability, reliability, and predictive accuracy under varying assumptions, data perturbations, model misspecifications, and extreme or rare events.

67

Publications

3K

Citations

201

Authors

133

Institutions

Publications per year

2017–2026

22

Authors

201

  1. VK
    Volker Krätschmer

    Saarland University, Germany

    3 publications · 212 citations

    3

    h-index

  2. PG
    Paul Glasserman

    Columbia University, United States

    2 publications · 232 citations

    2

    h-index

  3. FT
    Fabio Trojani

    Swiss Finance Institute, Switzerland

    2 publications · 63 citations

    2

    h-index

  4. GS
    Gerhard Stahl

    University of Duisburg-Essen, Germany

    2 publications · 49 citations

    2

    h-index

  5. RR
    Robin Rühlicke

    University of Duisburg-Essen, Germany

    2 publications · 49 citations

    2

    h-index

1–5 of 201

Venues

  1. SSRN Electronic Journal

    Repository · 5 publications · 109 citations

    5

    h-index

  2. European Journal of Operational Research

    4 publications · 334 citations

    4

    h-index

  3. Quantitative Finance

    3 publications · 279 citations

    3

    h-index

  4. Operations Research

    2 publications · 252 citations

    2

    h-index

  5. Journal of Financial Econometrics

    2 publications · 61 citations

    2

    h-index

1–5