Split Bregman iteration for multi-period mean variance portfolio optimization
Author
Abstract
Suggested Citation
DOI: 10.1016/j.amc.2020.125715
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Ledoit, Olivier & Wolf, Michael, 2004.
"A well-conditioned estimator for large-dimensional covariance matrices,"
Journal of Multivariate Analysis, Elsevier, vol. 88(2), pages 365-411, February.
- Ledoit, Olivier & Wolf, Michael, 2000. "A well conditioned estimator for large dimensional covariance matrices," DES - Working Papers. Statistics and Econometrics. WS 10087, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Victor DeMiguel & Lorenzo Garlappi & Raman Uppal, 2009. "Optimal Versus Naive Diversification: How Inefficient is the 1-N Portfolio Strategy?," The Review of Financial Studies, Society for Financial Studies, vol. 22(5), pages 1915-1953, May.
- Ye, Gui-Bo & Xie, Xiaohui, 2011. "Split Bregman method for large scale fused Lasso," Computational Statistics & Data Analysis, Elsevier, vol. 55(4), pages 1552-1569, April.
- Francesco Cesarone & Jacopo Moretti & Fabio Tardella, 2016. "Optimally chosen small portfolios are better than large ones," Economics Bulletin, AccessEcon, vol. 36(4), pages 1876-1891.
- Guastaroba, G. & Mansini, R. & Ogryczak, W. & Speranza, M.G., 2016.
"Linear programming models based on Omega ratio for the Enhanced Index Tracking Problem,"
European Journal of Operational Research, Elsevier, vol. 251(3), pages 938-956.
- Gaustaroba, Gianfranco & Mansini, Renata & Ogryczak, Wlodzimierz & Speranza, M. Grazia, 2014. "Linear Programming Models based on Omega Ratio for the Enhanced Index Tracking Problem," MPRA Paper 67097, University Library of Munich, Germany.
- Bruni, Renato & Cesarone, Francesco & Scozzari, Andrea & Tardella, Fabio, 2017. "On exact and approximate stochastic dominance strategies for portfolio selection," European Journal of Operational Research, Elsevier, vol. 259(1), pages 322-329.
- Roberta De Asmundis & Daniela di Serafino & William Hager & Gerardo Toraldo & Hongchao Zhang, 2014. "An efficient gradient method using the Yuan steplength," Computational Optimization and Applications, Springer, vol. 59(3), pages 541-563, December.
- di Serafino, Daniela & Ruggiero, Valeria & Toraldo, Gerardo & Zanni, Luca, 2018. "On the steplength selection in gradient methods for unconstrained optimization," Applied Mathematics and Computation, Elsevier, vol. 318(C), pages 176-195.
- Francesco Cesarone & Andrea Scozzari & Fabio Tardella, 2015. "Linear vs. quadratic portfolio selection models with hard real-world constraints," Computational Management Science, Springer, vol. 12(3), pages 345-370, July.
- Stefania Corsaro & Valentina Simone, 2019. "Adaptive $$l_1$$ l 1 -regularization for short-selling control in portfolio selection," Computational Optimization and Applications, Springer, vol. 72(2), pages 457-478, March.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Paoyu Huang & Chih-Te Yang & Yuhsin Chen & Yensen Ni, 2023. "A New Look on the Profitability of Fixed and Indexed Mortgage Products," Mathematics, MDPI, vol. 11(17), pages 1-16, August.
- Wu, Zhongming & Sun, Kexin & Ge, Zhili & Allen-Zhao, Zhihua & Zeng, Tieyong, 2024. "Sparse portfolio optimization via ℓ1 over ℓ2 regularization," European Journal of Operational Research, Elsevier, vol. 319(3), pages 820-833.
- Zhongming Wu & Guoyu Xie & Zhili Ge & Valentina De Simone, 2024. "Nonconvex multi-period mean-variance portfolio optimization," Annals of Operations Research, Springer, vol. 332(1), pages 617-644, January.
- Francesco Cesarone & Manuel L. Martino & Fabio Tardella, 2023. "Mean-Variance-VaR portfolios: MIQP formulation and performance analysis," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 45(3), pages 1043-1069, September.
- Stefania Corsaro & Valentina De Simone & Zelda Marino & Salvatore Scognamiglio, 2022. "l 1 -Regularization in Portfolio Selection with Machine Learning," Mathematics, MDPI, vol. 10(4), pages 1-15, February.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Cesarone, Francesco & Mango, Fabiomassimo & Mottura, Carlo Domenico & Ricci, Jacopo Maria & Tardella, Fabio, 2020. "On the stability of portfolio selection models," Journal of Empirical Finance, Elsevier, vol. 59(C), pages 210-234.
- Francesco Cesarone & Justo Puerto, 2024. "New approximate stochastic dominance approaches for Enhanced Indexation models," Papers 2401.12669, arXiv.org.
- Francesco Cesarone & Raffaello Cesetti & Giuseppe Orlando & Manuel Luis Martino & Jacopo Maria Ricci, 2022. "Comparing SSD-Efficient Portfolios with a Skewed Reference Distribution," Mathematics, MDPI, vol. 11(1), pages 1-20, December.
- Francesco Cesarone & Andrea Scozzari & Fabio Tardella, 2020. "An optimization–diversification approach to portfolio selection," Journal of Global Optimization, Springer, vol. 76(2), pages 245-265, February.
- Francesco Cesarone & Rosella Giacometti & Manuel Luis Martino & Fabio Tardella, 2023. "A return-diversification approach to portfolio selection," Papers 2312.09707, arXiv.org.
- Francesco Cesarone & Massimiliano Corradini & Lorenzo Lampariello & Jessica Riccioni, 2023. "A new behavioral model for portfolio selection using the Half-Full/Half-Empty approach," Papers 2312.10749, arXiv.org.
- Çağın Ararat & Francesco Cesarone & Mustafa Çelebi Pınar & Jacopo Maria Ricci, 2024. "MAD risk parity portfolios," Annals of Operations Research, Springer, vol. 336(1), pages 899-924, May.
- Alessandra Carleo & Francesco Cesarone & Andrea Gheno & Jacopo Maria Ricci, 2017. "Approximating exact expected utility via portfolio efficient frontiers," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 40(1), pages 115-143, November.
- Stefania Corsaro & Valentina Simone, 2019. "Adaptive $$l_1$$ l 1 -regularization for short-selling control in portfolio selection," Computational Optimization and Applications, Springer, vol. 72(2), pages 457-478, March.
- Stefania Corsaro & Valentina De Simone & Zelda Marino, 2021. "Fused Lasso approach in portfolio selection," Annals of Operations Research, Springer, vol. 299(1), pages 47-59, April.
- Candelon, B. & Hurlin, C. & Tokpavi, S., 2012.
"Sampling error and double shrinkage estimation of minimum variance portfolios,"
Journal of Empirical Finance, Elsevier, vol. 19(4), pages 511-527.
- Candelon, B. & Hurlin, C. & Tokpavi, S., 2011. "Sampling error and double shrinkage estimation of minimum variance portfolios," Research Memorandum 002, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
- Bertrand Candelon & Christophe Hurlin & Sessi Tokpavi, 2012. "Sampling Error and Double Shrinkage Estimation of Minimum Variance Portfolios," Post-Print hal-01385835, HAL.
- Lassance, Nathan & Vrins, Frédéric, 2021.
"Portfolio selection with parsimonious higher comoments estimation,"
Journal of Banking & Finance, Elsevier, vol. 126(C).
- Lassance, Nathan & Vrins, Frédéric, 2021. "Portfolio selection with parsimonious higher comoments estimation," LIDAM Reprints LFIN 2021005, Université catholique de Louvain, Louvain Finance (LFIN).
- Tae-Hwy Lee & Ekaterina Seregina, 2024.
"Optimal Portfolio Using Factor Graphical Lasso,"
Journal of Financial Econometrics, Oxford University Press, vol. 22(3), pages 670-695.
- Tae-Hwy Lee & Ekaterina Seregina, 2020. "Optimal Portfolio Using Factor Graphical Lasso," Working Papers 202025, University of California at Riverside, Department of Economics.
- Tae-Hwy Lee & Ekaterina Seregina, 2023. "Optimal Portfolio Using Factor Graphical Lasso," Working Papers 202302, University of California at Riverside, Department of Economics.
- Tae-Hwy Lee & Ekaterina Seregina, 2020. "Optimal Portfolio Using Factor Graphical Lasso," Papers 2011.00435, arXiv.org, revised Apr 2023.
- Yi Huang & Wei Zhu & Duan Li & Shushang Zhu & Shikun Wang, 2023. "Integrating Different Informations for Portfolio Selection," Papers 2305.17881, arXiv.org.
- Istvan Varga-Haszonits & Fabio Caccioli & Imre Kondor, 2016. "Replica approach to mean-variance portfolio optimization," Papers 1606.08679, arXiv.org.
- Benoît Carmichael & Gilles Boevi Koumou & Kevin Moran, 2023.
"Unifying Portfolio Diversification Measures Using Rao’s Quadratic Entropy,"
Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 21(4), pages 769-802, December.
- Benoît Carmichael & Gilles Boevi Koumou & Kevin Moran, 2015. "Unifying Portfolio Diversification Measures Using Rao's Quadratic Entropy," Cahiers de recherche 1508, CIRPEE.
- Gilles Boevi Koumou & Kevin Moran, 2015. "Unifying Portfolio Diversification Measures Using Rao's Quadratic Entropy," Cahiers de recherche 1502, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.
- Kevin Moran & Benoît Carmichael & Gilles Boevi Koumou, 2015. "Unifying Portfolio Diversification Measures Using Rao's Quadratic Entropy," CIRANO Working Papers 2015s-16, CIRANO.
- Santos, André A.P. & Torrent, Hudson S., 2022. "Markowitz meets technical analysis: Building optimal portfolios by exploiting information in trend-following signals," Finance Research Letters, Elsevier, vol. 49(C).
- Guillaume Coqueret, 2016. "Empirical properties of a heterogeneous agent model in large dimensions," Post-Print hal-02088097, HAL.
- Thomas Trier Bjerring & Omri Ross & Alex Weissensteiner, 2017. "Feature selection for portfolio optimization," Annals of Operations Research, Springer, vol. 256(1), pages 21-40, September.
- Bollerslev, Tim & Patton, Andrew J. & Quaedvlieg, Rogier, 2018.
"Modeling and forecasting (un)reliable realized covariances for more reliable financial decisions,"
Journal of Econometrics, Elsevier, vol. 207(1), pages 71-91.
- Tim Bollerslev & Andrew J. Patton & Rogier Quaedvlieg, 2016. "Modeling and Forecasting (Un)Reliable Realized Covariances for More Reliable Financial Decisions," CREATES Research Papers 2016-10, Department of Economics and Business Economics, Aarhus University.
More about this item
Keywords
Portfolio selection; Fused lasso; Nonsmooth optimization; Split Bregman;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:apmaco:v:392:y:2021:i:c:s0096300320306688. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/applied-mathematics-and-computation .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.