Catastrophe Severity Estimation

Catastrophe Severity Estimation is a methodological framework within claims severity analysis that quantifies the potential financial impact of extreme, low-frequency events by modeling tail-loss distributions specific to catastrophic occurrences.

9

Publications

315

Citations

27

Authors

18

Institutions

Publications per year

2017–2026

3

Authors

27

  1. AV
    A. Verlicchi

    Osservatorio Astrofisico di Torino, Italy

    1 publications · 53 citations

    1

    h-index

  2. AJ
    Alexander J. McNeil

    ETH Zurich, Switzerland

    1 publications · 10 citations

    1

    h-index

  3. SJ
    Stephen Jewson

    Risk Management Solutions (United Kingdom), United Kingdom

    1 publications · 20 citations

    1

    h-index

  4. IK
    Innocent Kamwa

    Hydro-Québec, Canada

    1 publications · 116 citations

    1

    h-index

  5. PH
    Ping‐Hung Hsieh

    Oregon State University, United States

    1 publications · 25 citations

    1

    h-index

1–5 of 27

Venues

  1. IEEE Transactions on Smart Grid

    1 publications · 116 citations

    1

    h-index

  2. Accident Analysis & Prevention

    1 publications · 11 citations

    1

    h-index

  3. Computational Statistics

    1 publications · 38 citations

    1

    h-index

  4. Journal of Risk & Insurance

    1 publications · 25 citations

    1

    h-index

  5. Review of Quantitative Finance and Accounting

    1 publications · 19 citations

    1

    h-index

1–5