Mean-variance Rebalancing

Mean-Variance Rebalancing is a portfolio rebalancing strategy that belongs to the class of quantitative investment methods and is distinguished by its reliance on optimizing the trade-off between expected return and portfolio variance, typically through periodic adjustments to maintain an efficient frontier alignment based on mean-variance optimization theory.

25

Publications

1.1K

Citations

46

Authors

32

Institutions

Publications per year

2017–2026

5

Authors

46

  1. PD
    Piti Disyatat

    Bank for International Settlements, Switzerland

    3 publications · 56 citations

    3

    h-index

  2. PF
    Peter Forsyth

    University of Waterloo, Canada

    2 publications · 41 citations

    2

    h-index

  3. RO
    Richard O. Michaud

    Healthcentric Advisors, United States

    2 publications · 172 citations

    2

    h-index

  4. GG
    Gastón Gelos

    International Monetary Fund, United States

    2 publications · 44 citations

    2

    h-index

  5. JE
    John E. Mitchell

    Rensselaer Polytechnic Institute, United States

    2 publications · 51 citations

    2

    h-index

1–5 of 46

Venues

  1. SSRN Electronic Journal

    Repository · 5 publications · 177 citations

    5

    h-index

  2. The Journal of Trading

    JOT · 1 publications · 71 citations

    1

    h-index

  3. Econometric Reviews

    1 publications · 127 citations

    1

    h-index

  4. Quantitative Finance

    1 publications · 23 citations

    1

    h-index

  5. Risk Analysis

    1 publications · 45 citations

    1

    h-index

1–5