Genetic algorithm versus classical methods in sparse index tracking
From MaRDI portal
Publication:1693854
DOI10.1007/s10203-017-0191-yzbMath1398.91518OpenAlexW2619205994MaRDI QIDQ1693854
Publication date: 31 January 2018
Published in: Decisions in Economics and Finance (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10203-017-0191-y
Applications of statistics to actuarial sciences and financial mathematics (62P05) Approximation methods and heuristics in mathematical programming (90C59) Portfolio theory (91G10)
Related Items (5)
Sparse index clones via the sorted ℓ1-Norm ⋮ Solving the index tracking problem: a continuous optimization approach ⋮ An enhanced GRASP approach for the index tracking problem ⋮ Quantile-based portfolios: post-model-selection estimation with alternative specifications ⋮ Un-diversifying during crises: is it a good idea?
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- The Adaptive Lasso and Its Oracle Properties
- A modified local quadratic approximation algorithm for penalized optimization problems
- Sparse and robust normal and \(t\)-portfolios by penalized \(L_q\)-likelihood minimization
- Enhancing sparsity by reweighted \(\ell _{1}\) minimization
- One-step sparse estimates in nonconcave penalized likelihood models
- Tracking hedge funds returns using sparse clones
- Solving norm constrained portfolio optimization via coordinate-wise descent algorithms
- Natural coordinate descent algorithm for \(\ell_1\)-penalised regression in generalised linear models
- An evolutionary heuristic for the index tracking problem.
- Differential evolution and combinatorial search for constrained index-tracking
- Pathwise coordinate optimization
- Variable selection using MM algorithms
- SparseNet: Coordinate Descent With Nonconvex Penalties
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- Recovering Sparse Signals With a Certain Family of Nonconvex Penalties and DC Programming
- 10.1162/153244303322753751
- Cardinality versusq-norm constraints for index tracking
- Regularization and Variable Selection Via the Elastic Net
This page was built for publication: Genetic algorithm versus classical methods in sparse index tracking