Multivariate Risk Aversion

Multivariate Risk Aversion is a theoretical construct in decision theory that extends the concept of risk aversion to multivariate outcomes by capturing an individual's preference for reducing variability across multiple dimensions of risk simultaneously, distinguished from univariate risk aversion through its consideration of interdependencies among multiple sources of uncertainty.

27

Publications

1.8K

Citations

41

Authors

40

Institutions

Publications per year

2017–2026

3

Authors

41

  1. EK
    Edi Karni

    Johns Hopkins University, United States

    4 publications · 183 citations

    4

    h-index

  2. BP
    Ben Polak

    Yale University, United States

    2 publications · 166 citations

    2

    h-index

  3. AG
    Alfred Galichon

    Courant Institute of Mathematical Sciences, United States

    2 publications · 50 citations

    2

    h-index

  4. SG
    Simon Grant

    Australian National University, Australia

    2 publications · 166 citations

    2

    h-index

  5. MH
    Marc Henry

    Laboratoire de Chimie Moléculaire, France

    2 publications · 50 citations

    2

    h-index

1–5 of 41

Venues

  1. Management Science

    4 publications · 443 citations

    4

    h-index

  2. Journal of Economic Theory

    JET · 4 publications · 218 citations

    4

    h-index

  3. SSRN Electronic Journal

    Repository · 4 publications · 151 citations

    4

    h-index

  4. Econometrica

    3 publications · 221 citations

    3

    h-index

  5. International Economic Review

    3 publications · 80 citations

    3

    h-index

1–5