Computational Risk Management

Computational Risk Management is a quantitative framework within financial risk analysis that employs numerical algorithms and computational techniques to model, measure, and mitigate financial risks under uncertainty.

30

Publications

2.6K

Citations

70

Authors

41

Institutions

Publications per year

2017–2026

8

Authors

70

  1. WH
    Wolfgang Hackenbroch

    University of Augsburg, Germany

    2 publications · 25 citations

    2

    h-index

  2. DR
    David R. Schwartz

    North Shore Medical Center, United States

    1 publications · 33 citations

    1

    h-index

  3. DL
    David L. Olson

    University of Nebraska–Lincoln, United States

    1 publications · 60 citations

    1

    h-index

  4. PV
    Pascal Van Hentenryck

    Brown University, United States

    1 publications · 20 citations

    1

    h-index

  5. HP
    Hyunwoo Park

    Georgia Institute of Technology, United States

    1 publications · 53 citations

    1

    h-index

1–5 of 70

Venues

  1. Management Science

    1 publications · 36 citations

    1

    h-index

  2. Children and Youth Services Review

    1 publications · 33 citations

    1

    h-index

  3. Computer

    1 publications · 18 citations

    1

    h-index

  4. Electric Power Systems Research

    1 publications · 23 citations

    1

    h-index

  5. Information Systems Frontiers

    1 publications · 17 citations

    1

    h-index

1–5