Internal Loss Data

Internal Loss Data is a structured record of historical operational risk events and associated financial losses experienced within a financial institution, distinguished from external data sources by its exclusive derivation from the institution’s own risk management systems and reporting frameworks.

32

Publications

1.6K

Citations

132

Authors

47

Institutions

Publications per year

2017–2026

2

Authors

132

  1. AC
    Anna Chernobai

    Syracuse University, United States

    3 publications · 253 citations

    3

    h-index

  2. PJ
    Philippe Jorion

    University of California, Irvine, United States

    2 publications · 239 citations

    2

    h-index

  3. MV
    Mario V. Wüthrich

    ETH Zurich, Switzerland

    2 publications · 126 citations

    2

    h-index

  4. RM
    Robert M. Farrell

    University of California, Santa Barbara, United States

    2 publications · 75 citations

    2

    h-index

  5. SP
    Steven P. DenBaars

    University of California, Santa Barbara, United States

    2 publications · 75 citations

    2

    h-index

1–5 of 132

Venues

  1. Applied Physics Letters

    6 publications · 305 citations

    6

    h-index

  2. SSRN Electronic Journal

    Repository · 4 publications · 224 citations

    4

    h-index

  3. The Journal of Operational Risk

    4 publications · 162 citations

    4

    h-index

  4. Ferroelectrics

    1 publications · 23 citations

    1

    h-index

  5. IEEE Journal of Quantum Electronics

    1 publications · 10 citations

    1

    h-index

1–5