Reserve Estimation Models

Reserve Estimation Models is a statistical methodology used in actuarial science that employs probabilistic and deterministic techniques to project unearned premium liabilities by estimating future claim obligations based on historical policy data, risk assumptions, and contractual terms, thereby distinguishing it from other reserving approaches through its focus on modeling the unearned portion of premium as a function of exposure over time.

66

Publications

3.1K

Citations

110

Authors

62

Institutions

Publications per year

2017–2026

10

Authors

110

  1. RV
    Richard Verrall

    City, University of London, United Kingdom

    7 publications · 658 citations

    7

    h-index

  2. TM
    Thomas M. Mack

    University of Southern California, United States

    5 publications · 770 citations

    5

    h-index

  3. MM
    Michael Merz

    University of Hohenheim, Germany

    3 publications · 95 citations

    3

    h-index

  4. MV
    Mario V. Wüthrich

    ETH Zurich, Switzerland

    3 publications · 95 citations

    3

    h-index

  5. PD
    Peter D. England

    City, University of London, United Kingdom

    2 publications · 478 citations

    2

    h-index

1–5 of 110

Venues

  1. Astin Bulletin

    15 publications · 1.1K citations

    14

    h-index

  2. Insurance Mathematics and Economics

    6 publications · 222 citations

    6

    h-index

  3. North American Actuarial Journal

    NAAJ · 5 publications · 188 citations

    5

    h-index

  4. Scandinavian Actuarial Journal

    4 publications · 111 citations

    4

    h-index

  5. Annals of Actuarial Science

    4 publications · 157 citations

    4

    h-index

1–5