Optimization Under Estimation Error

Optimization Under Estimation Error is a portfolio analytics framework that addresses the inherent uncertainty in estimated input parameters—such as expected returns, variances, and covariances—by systematically adjusting the optimization process to reduce the sensitivity of portfolio weights to estimation errors, thereby enhancing out-of-sample performance.

44

Publications

4.9K

Citations

92

Authors

72

Institutions

Publications per year

2017–2026

11

Authors

92

  1. JB
    Jean‐Philippe Bouchaud

    Capital Fund Management (France), France

    2 publications · 30 citations

    2

    h-index

  2. ZS
    Zheng Sun

    University of California, Irvine, United States

    2 publications · 65 citations

    2

    h-index

  3. BS
    Bernd Scherer

    Ecole des Hautes Etudes Commerciales du Nord, France

    2 publications · 170 citations

    2

    h-index

  4. DG
    Donald Goldfarb

    Columbia University, United States

    2 publications · 943 citations

    2

    h-index

  5. VK
    Vijaya Kanaparthi

    Microsoft (United States), United States

    2 publications · 32 citations

    2

    h-index

1–5 of 92

Venues

  1. SSRN Electronic Journal

    Repository · 8 publications · 332 citations

    8

    h-index

  2. Financial Analysts Journal

    FAJ · 3 publications · 226 citations

    3

    h-index

  3. arXiv (Cornell University)

    Repository · 3 publications · 60 citations

    3

    h-index

  4. Management Science

    3 publications · 1.1K citations

    3

    h-index

  5. IEEE Transactions on Signal Processing

    2 publications · 38 citations

    2

    h-index

1–5