External Loss Data Use

External Loss Data Use is the systematic incorporation of loss event data obtained from sources outside an individual institution—such as industry databases, regulatory repositories, or third-party providers—into operational risk measurement, modeling, or management processes to enhance the comprehensiveness and robustness of risk assessments.

13

Publications

464

Citations

25

Authors

20

Institutions

Publications per year

2017–2026

1

Authors

25

  1. MG
    Montserrat Guillén

    Universitat de Barcelona, Spain

    3 publications · 53 citations

    3

    h-index

  2. JP
    Jens Perch Nielsen

    City, University of London, United Kingdom

    3 publications · 53 citations

    3

    h-index

  3. JG
    Jim Gustafsson

    University of Copenhagen, Denmark

    3 publications · 53 citations

    3

    h-index

  4. GH
    Georges Hübner

    University of Liège, Belgium

    2 publications · 75 citations

    2

    h-index

  5. AC
    Ariane Chapelle

    University College London, United Kingdom

    2 publications · 75 citations

    2

    h-index

1–5 of 25

Venues

  1. SSRN Electronic Journal

    Repository · 7 publications · 258 citations

    7

    h-index

  2. The Journal of Operational Risk

    2 publications · 124 citations

    2

    h-index

  3. 1

    h-index

  4. RePEc: Research Papers in Economics

    Repository · 1 publications · 11 citations

    1

    h-index

  5. Annals of Actuarial Science

    1 publications · 28 citations

    1

    h-index

1–5