Simulation-based Risk Aggregation

Simulation-Based Risk Aggregation is a quantitative risk assessment methodology that belongs to the class of risk aggregation techniques, distinguished by its reliance on stochastic simulation methods to integrate individual risk components into an overall risk profile while accounting for dependencies and uncertainties across risk sources.

8

Publications

340

Citations

19

Authors

13

Institutions

Publications per year

2017–2026

0

Authors

19

  1. GP
    Gian Paolo Clemente

    University of Milano-Bicocca, Italy

    1 publications · 28 citations

    1

    h-index

  2. MM
    Matthias Meyer

    Hamburg University of Technology, Germany

    1 publications · 13 citations

    1

    h-index

  3. KB
    Krzysztof Burnecki

    Wrocław University of Science and Technology, Poland

    1 publications · 12 citations

    1

    h-index

  4. NF
    Norman Fenton

    Queen Mary University of London, United Kingdom

    1 publications · 11 citations

    1

    h-index

  5. RT
    Radu Tunaru

    University of Kent, United Kingdom

    1 publications · 57 citations

    1

    h-index

1–5 of 19

Venues

  1. Wiley StatsRef: Statistics Reference Online

    1 publications · 12 citations

    1

    h-index

  2. Journal of Banking & Finance

    1 publications · 57 citations

    1

    h-index

  3. Mathematical and Computer Modelling

    1 publications · 60 citations

    1

    h-index

  4. Annals of Actuarial Science

    1 publications · 11 citations

    1

    h-index

  5. Journal of Management Control

    1 publications · 13 citations

    1

    h-index

1–5