An efficient DC programming approach for portfolio decision with higher moments
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DOI: 10.1007/s10589-010-9383-x
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Cited by:
- Hafner, Christian & Herwartz, Helmut, 2020.
"Dynamic score driven independent component analysis,"
LIDAM Discussion Papers ISBA
2020031, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Hafner, Christian M. & Herwartz, Helmut, 2022. "Dynamic score driven independent component analysis," LIDAM Reprints ISBA 2022010, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Rui Zhou & Daniel P. Palomar, 2020. "Solving High-Order Portfolios via Successive Convex Approximation Algorithms," Papers 2008.00863, arXiv.org.
- Jinxin Wang & Zengde Deng & Taoli Zheng & Anthony Man-Cho So, 2020. "Sparse High-Order Portfolios via Proximal DCA and SCA," Papers 2008.12953, arXiv.org, revised Jun 2021.
- Niu, Yi-Shuai & Júdice, Joaquim & Le Thi, Hoai An & Pham, Dinh Tao, 2019. "Improved dc programming approaches for solving the quadratic eigenvalue complementarity problem," Applied Mathematics and Computation, Elsevier, vol. 353(C), pages 95-113.
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Keywords
DC programming; DCA; Polynomial optimization; Higher moment portfolio;All these keywords.
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