Mean-cvar Optimization

Mean-CVaR Optimization is a portfolio optimization method that belongs to the class of risk-return models, differing from its counterparts by explicitly minimizing Conditional Value-at-Risk (CVaR) as a measure of tail risk while maximizing expected return under a given confidence level.

66

Publications

2.4K

Citations

177

Authors

101

Institutions

Publications per year

2017–2026

30

Authors

177

  1. GM
    Gautam Mitra

    Brunel University of London, United Kingdom

    2 publications · 133 citations

    2

    h-index

  2. MG
    Mark Goh

    National University of Singapore, Singapore

    2 publications · 31 citations

    2

    h-index

  3. WW
    Wing‐Keung Wong

    Asia University, Taiwan

    2 publications · 104 citations

    2

    h-index

  4. JG
    Jianjun Gao

    Shanghai Jiao Tong University, China

    2 publications · 59 citations

    2

    h-index

  5. JS
    Jie Sun

    National University of Singapore, Singapore

    2 publications · 31 citations

    2

    h-index

1–5 of 177

Venues

  1. European Journal of Operational Research

    6 publications · 322 citations

    6

    h-index

  2. International Journal of Production Economics

    6 publications · 335 citations

    6

    h-index

  3. Annals of Operations Research

    4 publications · 153 citations

    4

    h-index

  4. Risks

    2 publications · 32 citations

    2

    h-index

  5. Quantitative Finance

    2 publications · 177 citations

    2

    h-index

1–5