Loss Data Collection

Loss Data Collection is a systematic process within operational risk management that identifies, records, and aggregates historical internal and external loss events to support risk measurement, modeling, and regulatory compliance.

63

Publications

3.1K

Citations

233

Authors

113

Institutions

Publications per year

2017–2026

13

Authors

233

  1. GD
    Georges Dionne

    HEC Montréal, Canada

    2 publications · 114 citations

    2

    h-index

  2. MM
    Marco Moscadelli

    Bank of Italy, Italy

    2 publications · 271 citations

    2

    h-index

  3. JS
    John S. Jordan

    Federal Reserve Bank of Boston, United States

    2 publications · 169 citations

    2

    h-index

  4. DG
    DE Groeve Tom

    2 publications · 52 citations

    2

    h-index

  5. ZZ
    Zehra Zaidi

    King's College London, United Kingdom

    2 publications · 92 citations

    2

    h-index

1–5 of 233

Venues

  1. SSRN Electronic Journal

    Repository · 5 publications · 487 citations

    5

    h-index

  2. The Journal of Operational Risk

    4 publications · 94 citations

    4

    h-index

  3. IEEE Transactions on Magnetics

    3 publications · 62 citations

    3

    h-index

  4. Natural hazards and earth system sciences

    2 publications · 108 citations

    2

    h-index

  5. Joint Research Centre (European Commission)

    Repository · 2 publications · 52 citations

    2

    h-index

1–5