Joint Risk Modeling

Joint Risk Modeling is a formal methodological framework within interagency risk assessment that integrates multi-source risk data and analytical approaches across organizational boundaries to produce a unified, coherent representation of risk, distinguished by its emphasis on collaborative, cross-agency input synthesis and shared modeling assumptions.

47

Publications

2.1K

Citations

137

Authors

87

Institutions

Publications per year

2017–2026

20

Authors

137

  1. AL
    André Lucas

    Tinbergen Institute, Netherlands

    3 publications · 80 citations

    3

    h-index

  2. BS
    Bernd Schwaab

    European Central Bank, Germany

    3 publications · 80 citations

    3

    h-index

  3. XZ
    Xin Zhang

    Swedish National Bank, Sweden

    3 publications · 80 citations

    3

    h-index

  4. JV
    Joshua V. Rosenberg

    Federal Reserve Bank of New York, United States

    2 publications · 161 citations

    2

    h-index

  5. TS
    Til Schuermann

    City College of New York, United States

    2 publications · 161 citations

    2

    h-index

1–5 of 137

Venues

  1. SSRN Electronic Journal

    Repository · 4 publications · 155 citations

    4

    h-index

  2. Risk Analysis

    3 publications · 61 citations

    3

    h-index

  3. Biometrics

    2 publications · 127 citations

    2

    h-index

  4. Lifetime Data Analysis

    2 publications · 31 citations

    2

    h-index

  5. Reliability Engineering & System Safety

    2 publications · 94 citations

    2

    h-index

1–5