High-dimensional sparse index tracking based on a multi-step convex optimization approach
| Year of publication: |
2023
|
|---|---|
| Authors: | Shi, Fangquan ; Shu, Lianjie ; Luo, Yiling ; Huo, Xiaoming |
| Published in: |
Quantitative finance. - London : Taylor & Francis, ISSN 1469-7696, ZDB-ID 2027557-2. - Vol. 23.2023, 9, p. 1361-1372
|
| Subject: | Cardinality | Finance | Index tracking | LASSO | Sparsity | Portfolio-Management | Portfolio selection | Theorie | Theory | Mathematische Optimierung | Mathematical programming | Aktienindex | Stock index | Index | Index number |
-
Genetic algorithm versus classical methods in sparse index tracking
Giuzio, Margherita, (2017)
-
A heuristic approach to the index tracking problem : a case study of the Tehran Exchange Price Index
Varsei, Mohsen, (2013)
-
Risk measure index tracking model
Sant'Anna, Leonardo Riegel, (2022)
- More ...
-
Improving minimum-variance portfolio through shrinkage of large covariance matrices
Shi, Fangquan, (2025)
-
An enhanced factor model for portfolio selection in high dimensions
Shi, Fangquan, (2024)
-
High-dimensional index tracking based on the adaptive elastic net
Shu, Lianjie, (2020)
- More ...