Portfolio Selection with Regularization
From MaRDI portal
Publication:5865917
DOI10.1142/S0217595921500160zbMath1492.91342OpenAlexW3150616731MaRDI QIDQ5865917
Gengling Dai, Ning Zhang, Jingnan Chen
Publication date: 10 June 2022
Published in: Asia-Pacific Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1142/s0217595921500160
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
- Fast Algorithms for Large-Scale Generalized Distance Weighted Discrimination
- Fast projection onto the simplex and the \(l_1\) ball
- On the role of norm constraints in portfolio selection
- Solving norm constrained portfolio optimization via coordinate-wise descent algorithms
- A generalized alternating direction method of multipliers with semi-proximal terms for convex composite conic programming
- An application of sparse-group Lasso regularization to equity portfolio optimization and sector selection
- Constructing optimal sparse portfolios using regularization methods
- Hankel Matrix Rank Minimization with Applications to System Identification and Realization
- Sparse and stable Markowitz portfolios
- A Generalized Approach to Portfolio Optimization: Improving Performance by Constraining Portfolio Norms
- Augmented Lagrangians and Applications of the Proximal Point Algorithm in Convex Programming
- A Unified Algorithmic Framework of Symmetric Gauss-Seidel Decomposition Based Proximal Admms for Convex Composite Programming
- Linear Rate Convergence of the Alternating Direction Method of Multipliers for Convex Composite Programming
- On Alternating Direction Methods of Multipliers: A Historical Perspective
This page was built for publication: Portfolio Selection with Regularization