Risk-based Verification

Risk-Based Verification is a systematic methodology within the domain of source of wealth verification that distinguishes itself by calibrating the extent and intensity of evidentiary scrutiny according to the assessed level of financial, reputational, and regulatory risk posed by the individual or entity under review.

3

Publications

70

Citations

5

Authors

2

Institutions

Publications per year

2017–2026

0

Authors

5

  1. PM
    Pierre M. Picard

    University of Luxembourg, Luxembourg

    1 publications · 15 citations

    1

    h-index

  2. LS
    Laura S. Hamilton

    RAND Corporation, United States

    1 publications · 35 citations

    1

    h-index

  3. DF
    Daniel F. McCaffrey

    RAND Corporation, United States

    1 publications · 35 citations

    1

    h-index

  4. DK
    Daniel Koretz

    Harvard University, United States

    1 publications · 35 citations

    1

    h-index

  5. LM
    Louise Manning

    Royal Agricultural University, United Kingdom

    1 publications · 20 citations

    1

    h-index

1–5 of 5

Institutions

2

  1. Royal Agricultural University

    Cirencester, United Kingdom

    1 h-index

    1 publications

    20 citations

  2. École Polytechnique

    Palaiseau, France

    1 h-index

    1 publications

    15 citations

1–2 of 2

Venues

  1. Games and Economic Behavior

    1 publications · 15 citations

    1

    h-index

  2. British Food Journal

    1 publications · 20 citations

    1

    h-index

1–2