Multivariate Pricing Models

Multivariate Pricing Models is a statistical modeling framework in insurance pricing that simultaneously incorporates multiple interrelated risk factors to estimate premiums, distinguishing itself from univariate or bivariate approaches by explicitly accounting for the joint effects and interactions among predictors within a unified structure.

69

Publications

3.1K

Citations

125

Authors

92

Institutions

Publications per year

2017–2026

5

Authors

125

  1. EL
    Elisa Luciano

    University of Turin, Italy

    3 publications · 186 citations

    3

    h-index

  2. UC
    Umberto Cherubini

    University of Bologna, Italy

    3 publications · 186 citations

    3

    h-index

  3. EW
    Edward W. Frees

    University of Wisconsin–Madison, United States

    2 publications · 53 citations

    2

    h-index

  4. ER
    Eran Raviv

    Erasmus University Rotterdam, Netherlands

    2 publications · 121 citations

    2

    h-index

  5. MW
    Martin Wallmeier

    University of Fribourg, Switzerland

    2 publications · 41 citations

    2

    h-index

1–5 of 125

Venues

  1. North American Actuarial Journal

    NAAJ · 5 publications · 169 citations

    5

    h-index

  2. SSRN Electronic Journal

    Repository · 5 publications · 92 citations

    5

    h-index

  3. Astin Bulletin

    5 publications · 123 citations

    5

    h-index

  4. The Journal of Computational Finance

    3 publications · 73 citations

    3

    h-index

  5. Journal of Business and Economic Statistics

    JBES · 2 publications · 177 citations

    2

    h-index

1–5