Open Access
| Issue |
RAIRO-Oper. Res.
Volume 58, Number 1, January-February 2024
|
|
|---|---|---|
| Page(s) | 713 - 739 | |
| DOI | https://doi.org/10.1051/ro/2023170 | |
| Published online | 22 February 2024 | |
- M. Amiri, M. Ekhtiari and M. Yazdani, Nadir compromise programming: A model for optimization of multi-objective portfolio problem. Expert Syst. Appl. 38 (2011) 7222–7226. [CrossRef] [Google Scholar]
- B. Aouni, M. Doumpos, B. Pérez-Gladish and R.E. Steuer, On the increasing importance of multiple criteria decision aid methods for portfolio selection. J. Oper. Res. Soc. 69 (10) (2018) 1525–1542. [CrossRef] [Google Scholar]
- M. Bazaraa, J. Jarvis and H. Sherali, Linear Programming and Network Flows, 4th edition. John Wiley & Sons, New York (2010). [Google Scholar]
- X. Cai, K.L. Teo, X. Yang and X.Y. Zhou, Portfolio optimization under l∞ risk measure. In: 1996 35th IEEE Conference on Decision and Control (CDC). IEEE (1996) 3682–3687. [Google Scholar]
- X. Cai, K.L. Teo, X. Yang and X.Y. Zhou, Portfolio optimization under a minimax rule. Manag. Sci. 46 (2000) 957–972. [CrossRef] [Google Scholar]
- X. Cai, K.L. Teo, X. Yang and X.Y. Zhou, Minimax portfolio optimization: empirical numerical study. J. Oper. Res. Soc. 55 (2004) 65–72. [CrossRef] [Google Scholar]
- A. Care, S. Garatti and M.C. Campi, Scenario min-max optimization and the risk of empirical costs. SIAM J. Optim. 25 (2015) 2061–2080. [CrossRef] [MathSciNet] [Google Scholar]
- F. Demircan Keskin, A two-stage fuzzy approach for industry 4.0 project portfolio selection within criteria and project interdependencies context. J. Multi-Criteria Decis. Anal. 27 (2020) 65–83. [CrossRef] [Google Scholar]
- E.K. Doolittle, G.M. Dranichak, K. Muir and M.M. Wiecek, A note on robustness of the min-max solution to multi-objective linear programs. Int. J. Multicriteria Decis. Mak. 6 (2016) 343–365. [CrossRef] [Google Scholar]
- M. Ehrgott, Multicriteria Optimization, 2nd edition. Springer, Berlin (2005). [Google Scholar]
- C. Fulga, Integrated bi-criteria decision support system for portfolio selection. J. Decis. Syst. 24 (2015) 159–177. [CrossRef] [Google Scholar]
- D. Goldfarb and G. Iyengar, Robust portfolio selection problems. Math. Oper. Res. 28 (2003) 1–38. [Google Scholar]
- P. Grau-Carles, Risk-adjusted performance measurement, edited by H. Kent Baker and G. Filbeck, In: Investment Risk Management. Oxford University Press, Oxford (2015) 365–386. [CrossRef] [Google Scholar]
- N. Gulpinar and B. Rustem, Worst-case robust decisions for multi-period mean-variance portfolio optimization. Eur. J. Oper. Res. 183 (2007) 981–1000. [CrossRef] [Google Scholar]
- F. Haghighirad and S.M. Rowzan, Designing a hybrid system dynamic model for analyzing the impact of strategic alignment on project portfolio selection. Simul. Model. Pract. Theory 89 (2018) 175–194. [CrossRef] [Google Scholar]
- H. Konno and H. Yamazaki, Mean-absolute deviation portfolio optimization model and its applications to Tokyo stock market. Manag. Sci. 37 (1991) 501–623. [Google Scholar]
- P. Kumar, G. Panda and U.C. Gupta, Stochastic programming technique for portfolio optimization with minimax risk and bounded parameters. Sādhanā 43 (2018) 149. [Google Scholar]
- O. Ledoit and M. Wolf, Robust performance hypothesis testing with the Sharpe ratio. J. Empir. Finance 15 (2008) 850–859. [CrossRef] [Google Scholar]
- B. Li, Y. Zhu, Y. Sun, G. Aw and K.L. Teo, Multi-period portfolio selection problem under uncertain environment with bankruptcy constraint. Appl. Math. Model. 56 (2018) 539–550. [CrossRef] [MathSciNet] [Google Scholar]
- B. Li, Y. Sun, G. Aw and K.L. Teo, Uncertain portfolio optimization problem under a minimax risk measure. Appl. Math. Model. 76 (2019) 274–281. [CrossRef] [MathSciNet] [Google Scholar]
- J.G.G. Lin, On min-norm and min-max methods of multi-objective optimization. Math. Program. 103 (2005) 1–33. [CrossRef] [MathSciNet] [Google Scholar]
- C. Liu, Q. Lei and H. Jia, Maximum entropy bi-Objective model and its evolutionary algorithm for portfolio optimization. To appear in: Asia-Pac. J. Oper. Res. 39 (2022) 2250014. [CrossRef] [Google Scholar]
- J. Ma, J.D. Harstvedt, R. Jaradat and B. Smith, Sustainability driven multi-criteria project portfolio selection under uncertain decision-making environment. Comput. Ind. Eng. 140 (2020) 106236. [CrossRef] [Google Scholar]
- R. Mansini, W. Orgryczak and M.G. Speranza, Twenty years of linear programming based portfolio optimization. Eur. J. Oper. Res. 234 (2014) 518–535. [CrossRef] [Google Scholar]
- H. Markowitz, Portfolio selection. J. Finance 7 (1952) 77–91. [Google Scholar]
- M. Masmoudi and F.B. Abdelaziz, Portfolio selection problem: a review of deterministic and stochastic multiple objective programming models. Ann. Oper. Res. 267 (2018) 335–352. [CrossRef] [MathSciNet] [Google Scholar]
- A. Morton, J.M. Keisler and A. Salo, Multicriteria portfolio decision analysis for project selection, edited by S. Greco, M. Ehrgott and J. Figueira, In: Multiple Criteria Decision Analysis. Springer, Berlin (2016) 1269–1298. [CrossRef] [Google Scholar]
- P. Pasricha, D. Selvamuthu, G. D’Amico and R. Manca, Portfolio optimization of credit risky bonds: a semi-Markov process approach. Financ. Innov. 6 (2020) 25. [CrossRef] [Google Scholar]
- R. Qi and G.G. Yen, Hybrid bi-objective portfolio optimization with pre-selection strategy. Inf. Sci. 417 (2017) 401–419. [CrossRef] [Google Scholar]
- B. Rustem, R.G. Becker and W. Marty, Robust min-max portfolio strategies for rival forecast and risk scenarios. J. Econ. Dyn. Control 24 (2000) 1591–1621. [CrossRef] [Google Scholar]
- H. Salmei and M.A. Yaghoobi, Improving the min-max method for multiobjective programming. Oper. Res. Lett. 48 (2020) 480–486. [CrossRef] [MathSciNet] [Google Scholar]
- A. Sharma and A. Mehra, Portfolio selection with a minimax measure in safety constraint. Optimization 62 (2013) 1473–1500. [CrossRef] [MathSciNet] [Google Scholar]
- W.F. Sharpe, A linear programming approximation for the general portfolio analysis problem. J. Financ. Quant. Anal. 6 (1971) 1263–1275. [CrossRef] [Google Scholar]
- A. Singh and S. Dharmaraja, A portfolio optimisation model for credit risky bonds with Markov model credit rating dynamics. Int. J. Finan. Mark. Deriv. 6 (2017) 102–119. [Google Scholar]
- S. Song, T. Wei, F. Yang and Q. Xia, Stochastic multi-attribute acceptability analysis-based heuristic algorithms for multi-attribute project portfolio selection and scheduling problem. J. Oper. Res. Soc. 72 (2021) 1373–1389. [CrossRef] [Google Scholar]
- C. Sun and M. Zhang, Optimal portfolio selection under minimax criterion with short-selling. In: 2017 29th Chinese Control And Decision Conference (CCDC). IEEE (2017) 4538–4542. [Google Scholar]
- M. Tamiz, R.A. Azmi and D.F. Jones, On selecting portfolio of international mutual funds using goal programming with extended factors. Eur. J. Oper. Res. 226 (2013) 560–576. [CrossRef] [Google Scholar]
- K.L. Teo and X.Q. Yang, Portfolio selection problem with minimax type risk function. Ann. Oper. Res. 101 (2001) 333–349. [CrossRef] [MathSciNet] [Google Scholar]
- M.R. Young, A minimax portfolio selection rule with linear programming solution. Manag. Sci. 44 (1998) 673–683. [CrossRef] [Google Scholar]
- M. Yu and S. Wang, Dynamic optimal portfolio with maximum absolute deviation model. J. Global Optim. 53 (2012) 363–380. [CrossRef] [MathSciNet] [Google Scholar]
- J. Zhai and M. Bai, Mean-risk model for uncertain portfolio selection with background risk. J. Comput. Appl. Math. 330 (2018) 59–69. [CrossRef] [MathSciNet] [Google Scholar]
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