Open Access
Issue
ESAIM: COCV
Volume 27, 2021
Article Number 92
Number of page(s) 23
DOI https://doi.org/10.1051/cocv/2021086
Published online 20 September 2021
  1. I. Bajeux-Besnainou and R. Portait, Dynamic asset allocation in a mean-variance framework. Manag. Sci. 11 (1998) 79–95. [Google Scholar]
  2. S. Basak and G. Chabakauri, Dynamic mean-variance asset allocation. Rev. Financial Stud. 23 (2010) 2970–3016. [Google Scholar]
  3. A. Bensoussan, K. Sung and S.C.P. Yam, Linear-quadratic time-inconsistent mean field games. Dyn. Games. Appl. 3 (2013) 537–552. [Google Scholar]
  4. A. Bensoussan, K. Sung, S.C.P. Yam and S.P. Yung, Linear-quadratic mean field games. J. Optim. Theory Appl. 169 (2016) 496–529. [Google Scholar]
  5. T.R. Bielecki, H.Q. Jin, S. Pliska and X.Y. Zhou, Continuous-time mean-variance portfolio selection with bankruptcy prohibition. Math. Finance 15 (2005) 213–244. [Google Scholar]
  6. T. Björk, A. Murgoci and X.Y. Zhou, Mean-variance protfolio optimization with state-dependent risk aversion. Math. Finance 24 (2014) 1–24. [CrossRef] [MathSciNet] [Google Scholar]
  7. T. Björk, M. Khapko and A. Murgoci, On time-inconsistent stochastic control in continuous time. Finance Stoch. 21 (2017) 331–360. [CrossRef] [Google Scholar]
  8. C. Christoph, Time-consistent mean-variance portfolio selection in discrete and continuous time. Finance Stoch. 17 (2013) 227–271. [Google Scholar]
  9. M. Dai, Z.Q. Xu and X.Y. Zhou, Continuous-time Markowitz’s model with transaction costs. SIAM J. Financial Math. 1 (2010) 96–125. [Google Scholar]
  10. M. Dai, H. Jin, K. Steven and Y. Xu, A dynamic mean-variance analysis for log returns. Manag. Sci. 67 (2020) 1–16. [Google Scholar]
  11. Y. Hu, H.Q. Jin and X.Y. Zhou, Time-inconsistent stochastic linear-quadratic control. SIAM J. Control Optim. 50 (2012) 1548–1572. [CrossRef] [Google Scholar]
  12. M. Huang, P.E. Caines and R.P. Malhame, The Nash certainty equivalence principle and McKean-Vlasov systems: an invariance principle and entry adaptation, in Proceedings of the 46th IEEE Conference on Decision and Control (2007) 121–126. [Google Scholar]
  13. C. Karnam, J. Ma and J. Zhang, Dynamic approaches for some time-inconsistent optimization problems. Ann. Appl. Probab. 27 (2017) 3435–3477. [Google Scholar]
  14. G. Kovácová and B. Rudloff, Time consistency of the mean-risk problem. Oper. Res. (2020) 1–37. [Google Scholar]
  15. F.E. Kydland and E. Prescott, Rules rather than discretion: the inconsistency of optimal plans. J. Polit. Econ. 85 (1997) 473–492. [Google Scholar]
  16. D. Li and W.L. Ng, Optimal dynamic portfolio selection: Multi-period mean-variance formulation. Math. Finance 10 (2000) 387–406. [CrossRef] [MathSciNet] [Google Scholar]
  17. A.E.B. Lim, Quadratic hedging and mean-variance portfolio selection with random parameters in an incomplete market. Math. Oper. Res. 29 (2004) 132–161. [CrossRef] [MathSciNet] [Google Scholar]
  18. A.E.B. Lim and X.Y. Zhou, Quadratic hedging and mean-variance portfolio selection with random parameters in a complete market. Math. Oper. Res. 1 (2002) 101–120. [Google Scholar]
  19. H. Markowitz, Portfolio selection. J. Finance 7 (1952) 77–91. [Google Scholar]
  20. H. Markowitz, Portfolio Selection: Efficient Diversification of Investment. John Wiley & Sons, New York (1959). [Google Scholar]
  21. L. Martellini and B. Urošević, Static mean-variance analysis with uncertain time horizon. Manag. Sci. 52 (2006) 955–964. [Google Scholar]
  22. R.C. Merton, An analytic derivation of the efficient frontier. J. Finance Quant. Anal. 7 (1972) 1851–1872. [Google Scholar]
  23. C. Pun, Robust time-inconsistent stochastic control problems. Automatica 94 (2018) 249–257. [Google Scholar]
  24. H.R. Richardson, A minimum variance result in continuous trading portfolio optimization. Manag. Sci. 9 (1989) 1045–1055. [Google Scholar]
  25. Y. Shen, Mean-variance portfolio selection in a complete market with unbounded random coefficients. Automatica 55 (2015) 165–175. [Google Scholar]
  26. H.L. Wu, Z.F. Li and D. Li, Multi-period mean-variance portfolio selection with Markov regime switching and uncertain time horizon. J. Syst. Sci. Complex 24 (2011) 140–155. [Google Scholar]
  27. J.M. Xia, Mean-variance portfolio choice: Quadratic partial hedging. Math. Finance 15 (2005) 533–538. [Google Scholar]
  28. T. Yan and H. Wong, Open-loop equilibrium strategy for mean-variance portfolio problem under stochastic volatility. Automatica 107 (2019) 211–223. [Google Scholar]
  29. S.Z. Yang, The necessary and sufficient conditions for stochastic differential systems with multi-time state cost functional. Syst. Control Lett. 114 (2018) 11–18. [Google Scholar]
  30. H. Yao and Q. Ma, Continuous time mean-variance model with uncertain exit time. International Conference on Management and Service Science, Wuhan (2010) 1–4. [Google Scholar]
  31. L. Yi, Z.F. Li and D. Li, Multi-period portfolio selection for asset-liability management with uncertain investment horizon. J. Ind. Manag. Optim. 4 (2008) 535–552. [Google Scholar]
  32. Z.Y. Yu, Continuous time mean-variance portfolio selection with random horizon. Appl. Math. Optim. 68 (2013) 333–359. [Google Scholar]
  33. X.Y. Zhou and D. Li, Continuous-time mean-variance portfolio selection: A stochastic LQ framework. Appl. Math. Optim. 42 (2000) 19–33. [Google Scholar]

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