Dynamic Premium Pricing

Dynamic Premium Pricing is a premium calculation methodology that dynamically adjusts insurance premiums in real time based on evolving risk assessments, behavioral data, and external conditions, distinguishing itself from static pricing models through its adaptive, data-driven, and often algorithmically governed mechanisms.

16

Publications

937

Citations

27

Authors

19

Institutions

Publications per year

2017–2026

1

Authors

27

  1. PE
    Paul Emms

    City, University of London, United Kingdom

    4 publications · 119 citations

    4

    h-index

  2. MF
    Marius Florin Niculescu

    Georgia Institute of Technology, United States

    2 publications · 198 citations

    2

    h-index

  3. SH
    Steven Haberman

    City, University of London, United Kingdom

    2 publications · 71 citations

    2

    h-index

  4. HL
    Hong Li

    Iowa State University, United States

    1 publications · 10 citations

    1

    h-index

  5. RJ
    Robert J. Willis

    University of Michigan, United States

    1 publications · 24 citations

    1

    h-index

1–5 of 27

Venues

  1. Astin Bulletin

    4 publications · 119 citations

    4

    h-index

  2. Journal of Revenue and Pricing Management

    2 publications · 229 citations

    2

    h-index

  3. SSRN Electronic Journal

    Repository · 2 publications · 142 citations

    2

    h-index

  4. Information Systems Research

    ISR · 1 publications · 157 citations

    1

    h-index

  5. Renewable and Sustainable Energy Reviews

    1 publications · 153 citations

    1

    h-index

1–5