Minimum Variance Portfolio Selection

Minimum Variance Portfolio Selection is a portfolio optimization method that belongs to the class of mean-variance analysis techniques, distinguished by its objective of minimizing portfolio return variance without explicit consideration of expected returns, thereby identifying the least risky combination of assets for a given investment universe.

60

Publications

4.9K

Citations

120

Authors

94

Institutions

Publications per year

2017–2026

15

Authors

120

  1. GF
    Gabriel Frahm

    University of Cologne, Germany

    3 publications · 193 citations

    3

    h-index

  2. VD
    Victor DeMiguel

    London Business School, United Kingdom

    3 publications · 1.5K citations

    3

    h-index

  3. FJ
    Francisco J. Nogales

    Universidad Carlos III de Madrid, Spain

    3 publications · 1.5K citations

    3

    h-index

  4. JR
    Julien Reynier

    Elveflow (France), France

    2 publications · 176 citations

    2

    h-index

  5. DD
    David Disatnik

    Tel Aviv University, Israel

    2 publications · 111 citations

    2

    h-index

1–5 of 120

Venues

  1. SSRN Electronic Journal

    Repository · 9 publications · 222 citations

    9

    h-index

  2. The Journal of Portfolio Management

    JPM · 4 publications · 234 citations

    4

    h-index

  3. AStA Advances in Statistical Analysis

    2 publications · 29 citations

    2

    h-index

  4. Management Science

    2 publications · 1.1K citations

    2

    h-index

  5. Statistical Papers

    2 publications · 66 citations

    2

    h-index

1–5