Model Risk Quantification

Model Risk Quantification is a methodological framework within model risk management that systematically measures the potential financial impact of errors, assumptions, and uncertainties inherent in a model's design, implementation, or application.

235

Publications

9.1K

Citations

1K

Authors

516

Institutions

Publications per year

2017–2026

83

Authors

1K

  1. CA
    Carol Alexander

    University of Sussex, United Kingdom

    5 publications · 208 citations

    5

    h-index

  2. RP
    Rolf Poulsen

    University of Copenhagen, Denmark

    3 publications · 141 citations

    3

    h-index

  3. DE
    David Epstein

    JPMorgan Chase & Co (United States), United States

    2 publications · 368 citations

    2

    h-index

  4. RA
    Robert A. Jarrow

    Cornell University, United States

    2 publications · 68 citations

    2

    h-index

  5. GS
    Gerhard Stahl

    University of Duisburg-Essen, Germany

    2 publications · 37 citations

    2

    h-index

1–5 of 1K

Venues

  1. SSRN Electronic Journal

    Repository · 15 publications · 441 citations

    13

    h-index

  2. Quantitative Finance

    7 publications · 382 citations

    7

    h-index

  3. Reliability Engineering & System Safety

    6 publications · 501 citations

    6

    h-index

  4. Risk Analysis

    6 publications · 274 citations

    6

    h-index

  5. Journal of Banking & Finance

    5 publications · 279 citations

    5

    h-index

1–5