Stochastic Pricing Models

Stochastic Pricing Models is a class of probabilistic frameworks in reinsurance pricing that incorporate random variables and stochastic processes to simulate uncertain future losses and estimate risk-adjusted premiums, distinguishing them from deterministic models by explicitly modeling randomness and distributional uncertainty in loss occurrences and severities.

407

Publications

19.6K

Citations

768

Authors

438

Institutions

Publications per year

2017–2026

66

Authors

768

  1. PE
    Paul Emms

    City, University of London, United Kingdom

    5 publications · 176 citations

    5

    h-index

  2. SH
    Steven Haberman

    City, University of London, United Kingdom

    5 publications · 285 citations

    5

    h-index

  3. YK
    Yue Kuen Kwok

    Hong Kong University of Science and Technology, Hong Kong SAR China

    5 publications · 354 citations

    5

    h-index

  4. JD
    José Da Fonseca

    Auckland University of Technology, New Zealand

    4 publications · 361 citations

    4

    h-index

  5. VR
    Virginia R. Young

    University of Michigan, United States

    4 publications · 166 citations

    4

    h-index

1–5 of 768

Venues

  1. Insurance Mathematics and Economics

    32 publications · 1.5K citations

    21

    h-index

  2. SSRN Electronic Journal

    Repository · 34 publications · 1.1K citations

    18

    h-index

  3. European Journal of Operational Research

    11 publications · 453 citations

    11

    h-index

  4. Astin Bulletin

    11 publications · 316 citations

    10

    h-index

  5. Mathematical Finance

    10 publications · 646 citations

    10

    h-index

1–5