Portfolio Construction by Mitigating Error Amplification: The Bounded-Noise Portfolio
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Publication:5129173
DOI10.1287/opre.2019.1858zbMath1455.91242OpenAlexW2737874613MaRDI QIDQ5129173
Kumar Muthuraman, Long Zhao, Deepayan Chakrabarti
Publication date: 26 October 2020
Published in: Operations Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1287/opre.2019.1858
Applications of statistics to actuarial sciences and financial mathematics (62P05) Portfolio theory (91G10)
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Cites Work
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- A well-conditioned estimator for large-dimensional covariance matrices
- Nonlinear shrinkage estimation of large-dimensional covariance matrices
- On the role of norm constraints in portfolio selection
- How close is the sample covariance matrix to the actual covariance matrix?
- Dominating estimators for minimum-variance portfolios
- A comparison of tests of equality of variances
- Sparse and stable Markowitz portfolios
- Portfolio Selection with Robust Estimation
- A Generalized Approach to Portfolio Optimization: Improving Performance by Constraining Portfolio Norms
- Estimation for Markowitz Efficient Portfolios
- 372: The Anova and Multiple Comparisons for Data with Heterogeneous Variances
- RANDOM MATRIX THEORY AND FINANCIAL CORRELATIONS
- Vast Portfolio Selection With Gross-Exposure Constraints
- Technical Note—A Robust Perspective on Transaction Costs in Portfolio Optimization
- A useful variant of the Davis–Kahan theorem for statisticians
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