Constrained Mean-variance Analysis

Constrained Mean-Variance Analysis is a portfolio optimization method that extends the classical mean-variance framework by incorporating explicit constraints—such as limits on asset weights, turnover, or risk exposure—to reflect practical investment limitations and institutional policies.

22

Publications

1.6K

Citations

48

Authors

40

Institutions

Publications per year

2017–2026

5

Authors

48

  1. ES
    Enrique Sentana

    Centro de Estudios Monetarios y Financieros, Spain

    2 publications · 50 citations

    2

    h-index

  2. HJ
    Hanqing Jin

    University of Oxford, United Kingdom

    1 publications · 41 citations

    1

    h-index

  3. GJ
    Gordon J. Alexander

    University of Minnesota, United States

    1 publications · 10 citations

    1

    h-index

  4. MA
    Mazin A. M. Al Janabi

    United Arab Emirates University, United Arab Emirates

    1 publications · 19 citations

    1

    h-index

  5. FG
    Francis Gupta

    Morgan Stanley (United States), United States

    1 publications · 27 citations

    1

    h-index

1–5 of 48

Venues

  1. SSRN Electronic Journal

    Repository · 3 publications · 53 citations

    3

    h-index

  2. The Journal of Portfolio Management

    JPM · 2 publications · 791 citations

    2

    h-index

  3. Mathematical Finance

    1 publications · 41 citations

    1

    h-index

  4. The Journal of Investing

    1 publications · 10 citations

    1

    h-index

  5. Computational Statistics & Data Analysis

    CSDA · 1 publications · 42 citations

    1

    h-index

1–5