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.
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4.9K
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92
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72
Institutions
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2017–2026
11
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Robust Portfolio Selection Problems
Donald Goldfarb, Garud Iyengar · Mathematics of Operations Research · 2003 · 928 citations
Honey, I Shrunk the Sample Covariance Matrix
Olivier Ledoit, Michael Wolf · SSRN Electronic Journal · 2003 · 212 citations · Full text
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The University of Texas at Austin
Austin, United States
2 h-index
4 publications
1.1K citations
Microsoft (United States)
Redmond, United States
2 h-index
2 publications
32 citations
CEA Paris-Saclay
Gif-sur-Yvette, France
2 h-index
2 publications
30 citations
CEA Paris-Saclay - Etablissement de Saclay
Saclay, France
2 h-index
2 publications
30 citations
Deutsche Bank (Germany)
Frankfurt am Main, Germany
2 h-index
2 publications
170 citations
Commissariat à l'Énergie Atomique et aux Énergies Alternatives
Paris, France
2 h-index
2 publications
30 citations

University of Toronto
Toronto, Canada
2 h-index
3 publications
187 citations
University of Zurich
Zurich, Switzerland
2 h-index
4 publications
452 citations
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Repository · 8 publications · 332 citations
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FAJ · 3 publications · 226 citations
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Repository · 3 publications · 60 citations
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3 publications · 1.1K citations
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2 publications · 38 citations
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