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"Double Descent" in Portfolio Optimization: Dance between Theoretical Sharpe Ratio and Estimation Accuracy

https://doi.org/10.2139/ssrn.5032413
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inferredcites →https://doi.org/10.1006/jmva.1995.1083openalex-snapshot
Strong Convergence of the Empirical Distribution of Eigenvalues of Large Dimensional Random Matrices
inferredcites →https://doi.org/10.1007/978-1-4419-0661-8openalex-snapshot
Spectral Analysis of Large Dimensional Random Matrices
inferredcites →https://doi.org/10.1007/s10462-022-10273-7openalex-snapshot
A brief review of portfolio optimization techniques
inferredcites →https://doi.org/10.1007/s10479-020-03630-8openalex-snapshot
Robust portfolio optimization: a categorized bibliographic review
inferredcites →https://doi.org/10.1016/j.eswa.2022.117005openalex-snapshot
Mean–variance portfolio optimization with deep learning based-forecasts for cointegrated stocks
inferredcites →https://doi.org/10.1016/j.jfineco.2010.08.013openalex-snapshot
Markowitz meets Talmud: A combination of sophisticated and naive diversification strategies
inferredcites →https://doi.org/10.1017/s0022109000004129openalex-snapshot
Optimal Portfolio Choice with Parameter Uncertainty
inferredcites →https://doi.org/10.1017/s0962492921000027openalex-snapshot
Deep learning: a statistical viewpoint
inferredcites →https://doi.org/10.1070/sm1967v001n04abeh001994openalex-snapshot
DISTRIBUTION OF EIGENVALUES FOR SOME SETS OF RANDOM MATRICES
inferredcites →https://doi.org/10.1073/pnas.1907378117openalex-snapshot
Benign overfitting in linear regression
inferredcites →https://doi.org/10.1080/01621459.2022.2093206openalex-snapshot
Benign Overfitting and Noisy Features
inferredcites →https://doi.org/10.1088/1742-5468/ac3a74openalex-snapshot
Deep double descent: where bigger models and more data hurt*
inferredcites →https://doi.org/10.1093/jjfinec/nbw003openalex-snapshot
Efficient Portfolio Selection in a Large Market
inferredcites →https://doi.org/10.1093/rfs/hhaa009openalex-snapshot
Empirical Asset Pricing via Machine Learning
inferredcites →https://doi.org/10.1093/rfs/hhab041openalex-snapshot
Lest We Forget: Learn from Out-of-Sample Forecast Errors When Optimizing Portfolios
inferredcites →https://doi.org/10.1093/rfs/hhm075openalex-snapshot
Optimal Versus Naive Diversification: How Inefficient is the 1/ N Portfolio Strategy?
inferredcites →https://doi.org/10.1093/rfs/hhy105openalex-snapshot
Approaching Mean-Variance Efficiency for Large Portfolios
inferredcites →https://doi.org/10.1093/rfs/hhz085openalex-snapshot
A Transaction-Cost Perspective on the Multitude of Firm Characteristics
inferredcites →https://doi.org/10.1109/isit.2019.8849614openalex-snapshot
Harmless Interpolation of Noisy Data in Regression
inferredcites →https://doi.org/10.1111/1468-0262.00392openalex-snapshot
Inferential Theory for Factor Models of Large Dimensions
inferredcites →https://doi.org/10.1111/j.1540-6261.2004.00709.xopenalex-snapshot
Corporate Investment and Asset Price Dynamics: Implications for the Cross‐section of Returns
inferredcites →https://doi.org/10.1111/jofi.13099openalex-snapshot
Anomalies and the Expected Market Return
inferredcites →https://doi.org/10.1111/jofi.13298openalex-snapshot
The Virtue of Complexity in Return Prediction
inferredcites →https://doi.org/10.1111/rssb.12016openalex-snapshot
Large Covariance Estimation by Thresholding Principal Orthogonal Complements
inferredcites →https://doi.org/10.1137/20m1336072openalex-snapshot
Two Models of Double Descent for Weak Features
inferredcites →https://doi.org/10.1146/annurev-financial-011110-134602openalex-snapshot
Portfolio Theory: As I Still See It
inferredcites →https://doi.org/10.1146/annurev-financial-101521-104735openalex-snapshot
Factor Models, Machine Learning, and Asset Pricing
inferredcites →https://doi.org/10.1198/016214502388618960openalex-snapshot
Forecasting Using Principal Components From a Large Number of Predictors
inferredcites →https://doi.org/10.1214/19-aos1849openalex-snapshot
Just interpolate: Kernel “Ridgeless” regression can generalize
inferredcites →https://doi.org/10.1214/21-aos2133openalex-snapshot
Surprises in high-dimensional ridgeless least squares interpolation
inferredcites →https://doi.org/10.1287/mnsc.1080.0986openalex-snapshot
A Generalized Approach to Portfolio Optimization: Improving Performance by Constraining Portfolio Norms
inferredcites →https://doi.org/10.1287/mnsc.2020.3876openalex-snapshot
Portfolio Choices with Many Big Models
inferredcites →https://doi.org/10.1287/mnsc.2021.01767openalex-snapshot
Optimal Portfolio Choice with Unknown Benchmark Efficiency
inferredcites →https://doi.org/10.1287/mnsc.2021.3989openalex-snapshot
Optimal Portfolio Choice with Estimation Risk: No Risk-Free Asset Case
inferredcites →https://doi.org/10.1287/mnsc.2022.4449openalex-snapshot
Machine Learning vs. Economic Restrictions: Evidence from Stock Return Predictability
inferredcites →https://doi.org/10.1287/mnsc.2023.4695openalex-snapshot
Deep Learning in Asset Pricing
inferredcites →https://doi.org/10.1561/0500000064openalex-snapshot
Financial Machine Learning
inferredcites →https://doi.org/10.2139/ssrn.2383361openalex-snapshot
Nonlinear Shrinkage of the Covariance Matrix for Portfolio Selection: Markowitz Meets Goldilocks
inferredcites →https://doi.org/10.2139/ssrn.2820700openalex-snapshot
Dissecting Characteristics Nonparametrically
inferredcites →https://doi.org/10.2139/ssrn.4187217openalex-snapshot
Machine Learning and the Implementable Efficient Frontier
inferredcites →https://doi.org/10.2139/ssrn.661343openalex-snapshot
Parametric Portfolio Policies: Exploiting Characteristics in the Cross Section of Equity Returns
inferredcites →https://doi.org/10.2139/ssrn.671981openalex-snapshot
Portfolio Selection with Parameter and Model Uncertainty: A Multi-Prior Approach
inferredcites →https://doi.org/10.3386/w33012openalex-snapshot
APT or “AIPT”? The Surprising Dominance of Large Factor Models
inferredcites →https://doi.org/10.3386/w8922openalex-snapshot
Risk Reduction in Large Portfolios: Why Imposing the Wrong Constraints Helps
inferredcites →https://doi.org/10.3905/jfds.2020.1.029openalex-snapshot
Machine Learning in Asset Management—Part 2: Portfolio Construction—Weight Optimization
inferredcites →https://doi.org/10.3905/jpm.1993.409440openalex-snapshot
The Effect of Errors in Means, Variances, and Covariances on Optimal Portfolio Choice
inferredcites →https://doi.org/10.48550/arxiv.1908.05355openalex-snapshot
The generalization error of random features regression: Precise asymptotics and double descent curve
inferredcites →https://doi.org/10.48550/arxiv.2010.09477openalex-snapshot
L2-Relaxation: With Applications to Forecast Combination and Portfolio Analysis
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