Robust Utility Theory

Robust Utility Theory is a normative decision theory that extends expected utility theory by incorporating ambiguity aversion and model uncertainty, thereby enabling the evaluation of choices under incompletely specified probabilistic environments.

104

Publications

5.6K

Citations

184

Authors

123

Institutions

Publications per year

2017–2026

25

Authors

184

  1. TJ
    Thomas J. Sargent

    New York University, United States

    5 publications · 126 citations

    5

    h-index

  2. AS
    Alexander Schied

    University of Waterloo, Canada

    5 publications · 333 citations

    5

    h-index

  3. MK
    Michael Kupper

    ETH Zurich, Switzerland

    4 publications · 232 citations

    4

    h-index

  4. AM
    Anis Matoussi

    Le Mans Université, France

    4 publications · 136 citations

    4

    h-index

  5. LP
    Lars Peter Hansen

    University of Chicago, United States

    4 publications · 155 citations

    4

    h-index

1–5 of 184

Venues

  1. SSRN Electronic Journal

    Repository · 6 publications · 330 citations

    6

    h-index

  2. Mathematical Finance

    5 publications · 272 citations

    5

    h-index

  3. Econometrica

    5 publications · 979 citations

    5

    h-index

  4. Finance and Stochastics

    3 publications · 137 citations

    3

    h-index

  5. Statistics & Risk Modeling

    3 publications · 120 citations

    3

    h-index

1–5