Chance-constrained Portfolio Optimization

Chance-Constrained Portfolio Optimization is a stochastic optimization framework that belongs to the class of portfolio selection models, distinguished by its incorporation of probabilistic constraints to ensure that the probability of portfolio loss exceeding a prescribed threshold remains below a specified level.

77

Publications

3.9K

Citations

156

Authors

116

Institutions

Publications per year

2017–2026

13

Authors

156

  1. KL
    Kok Lay Teo

    Curtin University, Australia

    5 publications · 175 citations

    5

    h-index

  2. MK
    Mukesh Kumar Mehlawat

    University of Delhi, India

    4 publications · 192 citations

    4

    h-index

  3. YS
    Yufei Sun

    Curtin University, Australia

    4 publications · 151 citations

    4

    h-index

  4. PG
    Pankaj Gupta

    University of Delhi, India

    4 publications · 192 citations

    4

    h-index

  5. BL
    Bo Li

    Nanjing University of Finance and Economics, China

    3 publications · 123 citations

    3

    h-index

1–5 of 156

Venues

  1. European Journal of Operational Research

    8 publications · 1.1K citations

    8

    h-index

  2. Annals of Operations Research

    7 publications · 166 citations

    7

    h-index

  3. 3

    h-index

  4. Applied Mathematics & Optimization

    3 publications · 148 citations

    3

    h-index

  5. Information Sciences

    3 publications · 263 citations

    3

    h-index

1–5