Vast Portfolio Selection With Gross-Exposure Constraints
From MaRDI portal
Publication:4916498
DOI10.1080/01621459.2012.682825zbMath1261.62091OpenAlexW2134056163WikidataQ36503578 ScholiaQ36503578MaRDI QIDQ4916498
Jingjin Zhang, Ke Yu, Jianqing Fan
Publication date: 22 April 2013
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Full work available at URL: http://europepmc.org/articles/pmc3535429
portfolio optimizationrisk assessmentmean-variance efficiencyshort-sale constraintportfolio improvementrisk optimization
Related Items
Direct shrinkage estimation of large dimensional precision matrix, Non-convex regularization and accelerated gradient algorithm for sparse portfolio selection, Estimating Number of Factors by Adjusted Eigenvalues Thresholding, Bayesian Estimation and Optimization for Learning Sequential Regularized Portfolios, Risk minimization in multi-factor portfolios: what is the best strategy?, A linear programming model for selection of sparse high-dimensional multiperiod portfolios, Solving norm constrained portfolio optimization via coordinate-wise descent algorithms, Model predictive control for optimal pairs trading portfolio with gross exposure and transaction cost constraints, Robust inference of risks of large portfolios, Global minimum variance portfolio optimisation under some model risk: a robust regression-based approach, Sparse and robust normal and \(t\)-portfolios by penalized \(L_q\)-likelihood minimization, Weighted Elastic Net Penalized Mean-Variance Portfolio Design and Computation, Sparse index clones via the sorted ℓ1-Norm, Sparse and robust mean-variance portfolio optimization problems, Empirical properties of a heterogeneous agent model in large dimensions, Averaging estimation for conditional covariance models, The dual and degrees of freedom of linearly constrained generalized Lasso, High dimensional minimum variance portfolio estimation under statistical factor models, Asymptotic behavior of Mean-CVaR portfolio selection model under nonparametric framework, Using principal component analysis to estimate a high dimensional factor model with high-frequency data, A direct approach to risk approximation for vast portfolios under gross-exposure constraint using high-frequency data, An integrated precision matrix estimation for multivariate regression problems, Resolution of Degeneracy in Merton's Portfolio Problem, Norm constrained minimum variance portfolios with short selling, Sparse and risk diversification portfolio selection, Large volatility matrix analysis using global and national factor models, Analytic approach to variance optimization under an \(\mathcal{l}_1\) constraint, High-Dimensional Portfolio Selection with Cardinality Constraints, Predicting the Global Minimum Variance Portfolio, Time-varying minimum variance portfolio, Mining the factor zoo: estimation of latent factor models with sufficient proxies, Robustifying Markowitz, A Bayesian graphical approach for large-scale portfolio management with fewer historical data, A LINEAR-PROGRAMMING PORTFOLIO OPTIMIZER TO MEAN–VARIANCE OPTIMIZATION, Statistical analysis of sparse approximate factor models, Bagged Pretested Portfolio Selection, Asset splitting algorithm for ultrahigh dimensional portfolio selection and its theoretical property, Certifiably optimal sparse inverse covariance estimation, High-dimensional sparse portfolio selection with nonnegative constraint, Portfolio Construction by Mitigating Error Amplification: The Bounded-Noise Portfolio, Asymptotic theory for maximum deviations of sample covariance matrix estimates, Optimal shrinkage estimator for high-dimensional mean vector, The Five Trolls Under the Bridge: Principal Component Analysis With Asynchronous and Noisy High Frequency Data, Risks of large portfolios, Penalized and Constrained Optimization: An Application to High-Dimensional Website Advertising, Knowing factors or factor loadings, or neither? Evaluating estimators of large covariance matrices with noisy and asynchronous data, Positive-Definite ℓ1-Penalized Estimation of Large Covariance Matrices, Efficient and positive semidefinite pre-averaging realized covariance estimator, Penalized least squares estimation with weakly dependent data, Weighted covariance matrix estimation, Large Covariance Estimation by Thresholding Principal Orthogonal Complements, Estimation of the global minimum variance portfolio in high dimensions, Sparse mean-variance customer Markowitz portfolio optimization for Markov chains: a Tikhonov's regularization penalty approach, Parameter-free robust optimization for the maximum-Sharpe portfolio problem, Asset allocation strategies based on penalized quantile regression, Generalized alternating direction method of multipliers: new theoretical insights and applications, Exact and asymptotic tests on a factor model in low and large dimensions with applications, High-dimensional minimum variance portfolio estimation based on high-frequency data, A closer look at the minimum-variance portfolio optimization model, Quantile-based portfolios: post-model-selection estimation with alternative specifications, Optimal portfolio selections via \(\ell_{1, 2}\)-norm regularization, On the long-only minimum variance portfolio under single factor model, Sparse portfolio selection via Bayesian multiple testing, Degrees of freedom for regularized regression with Huber loss and linear constraints, Recent advances in shrinkage-based high-dimensional inference, Tangency portfolio weights for singular covariance matrix in small and large dimensions: estimation and test theory, A Sparse Learning Approach to Relative-Volatility-Managed Portfolio Selection, Sparse precision matrices for minimum variance portfolios, Un-diversifying during crises: is it a good idea?, Estimating high-dimensional covariance and precision matrices under general missing dependence, Tail risks in large portfolio selection: penalized quantile and expectile minimum deviation models, A cost-effective approach to portfolio construction with range-based risk measures, Large-scale portfolio allocation under transaction costs and model uncertainty, Bootstrap maximum likelihood for quasi-stationary distributions, Regularized factor portfolio for cross-sectional multifactor models, Stable portfolio selection strategy for mean-variance-CVaR model under high-dimensional scenarios, Optimal Diversification in the Presence of Parameter Uncertainty for a Risk Averse Investor, Conditioning theory of the equality constrained quadratic programming and its applications, Multivariate sparse Laplacian shrinkage for joint estimation of two graphical structures, Diversified minimum-variance portfolios, Asset selection based on high frequency Sharpe ratio, Constructing optimal sparse portfolios using regularization methods
Cites Work
- High dimensional covariance matrix estimation using a factor model
- Multivariate realised kernels: consistent positive semi-definite estimators of the covariation of equity prices with noise and non-synchronous trading
- Probability and moment inequalities for sums of weakly dependent random variables, with applications
- Goodness-of-fit tests for Markovian time series models: central limit theory and bootstrap approximations
- Nonparametric statistics for stochastic processes. Estimation and prediction.
- Persistene in high-dimensional linear predictor-selection and the virtue of overparametrization
- Nonlinear time series. Nonparametric and parametric methods
- Coherent Measures of Risk
- Nemirovski's Inequalities Revisited
- Sparse and stable Markowitz portfolios
- A Generalized Approach to Portfolio Optimization: Improving Performance by Constraining Portfolio Norms
- Econometric Analysis of Realized Volatility and its Use in Estimating Stochastic Volatility Models
- Common risk factors in the returns on stocks and bonds
- Robust Portfolio Selection Problems
- A Tale of Two Time Scales