| تعداد نشریات | 32 |
| تعداد شمارهها | 860 |
| تعداد مقالات | 8,355 |
| تعداد مشاهده مقاله | 52,928,238 |
| تعداد دریافت فایل اصل مقاله | 9,316,508 |
Portfolio optimization under regime-switching with market path-dependent returns | ||
| Journal of Mathematical Modeling | ||
| مقاله 1، دوره 13، شماره 3، مهر 2025، صفحه 497-518 اصل مقاله (247.09 K) | ||
| نوع مقاله: Research Article | ||
| شناسه دیجیتال (DOI): 10.22124/jmm.2025.28912.2571 | ||
| نویسنده | ||
| Reza Keykhaei* | ||
| Department of Mathematics, Khansar Campus, University of Isfahan, Isfahan, Iran | ||
| چکیده | ||
| Asset prices typically follow significant trends influenced by the economic environment or overall investor sentiment. Regime-switching is commonly employed to capture asset price dynamics, as it effectively describes significant trends and reflects the changing correlations of asset returns over various periods. This paper explores multi-period mean-variance portfolio optimization under regime-switching with path-dependent returns. Unlike conventional models, this paper assumes that asset returns depend on the entire path of market states rather than just the current one. Consequently, investors base their decisions on all observed states up to the current moment. Utilizing dynamic programming techniques, we derive the path-dependent optimal portfolio strategy and the mean-variance efficient frontier in closed form. Furthermore, we demonstrate that the results from the traditional regime-switching model, can be viewed as specific cases of our proposed model. | ||
| کلیدواژهها | ||
| Portfolio optimization؛ mean-variance model؛ regime-switching؛ market path-dependent؛ dynamic programming | ||
| مراجع | ||
|
[1] N. Bauerle, U. Rieder, Portfolio optimization with Markov-modulated stock prices and interest rates, IEEE Trans. Automat. Control 49 (2004) 442–447. [2] D.P. Bertsekas, Dynamic Programming and Optimal Control, Athena Scientific, Belmont, MA, USA, 2005. [3] L. Bian, L. Zhang, Equilibrium multi-period investment strategy for a DC pension plan with incom- plete information: Hidden Markov model, Comm. Statist. Theory Methods 54 (2025) 1702–1728. [4] T.R. Bielecki, H. Jin, S.R. Pliska, X.Y. Zhou, Continuous-time mean-variance portfolio selection with bankruptcy prohibition, Math. Finance 15 (2005) 213–244. [5] U. Cakmak, S. Ozekici, Portfolio optimization in stochastic markets, Math. Methods Oper. Res. 63 (2006) 151–168. [6] T. Chen, R. Liu, Z. Wu, Continuous-time mean-variance portfolio selection under non-Markovian regime-switching model with random horizon, J. Syst. Sci. Complex. 36 (2023) 457–479. [7] P. Chen, H. Yang, Markowitz’s mean-variance asset-liability management with regime switching: A multi-period model, Appl. Math. Finance 18 (2011) 29–50. [8] P. Chen, H. Yang, G. Yin, Markowitz’s mean-variance asset-liability management with regime switching: a continuous-time model, Insurance Math. Econom. 43 (2008) 456–465. [9] M.C. Chiu, D. Li, Asset and liability management under a continuous-time mean-variance opti- mization framework, Insurance Math. Econom. 39 (2006) 330–355. [10] O.L.V. Costa, M.V. Araujo, A generalized multi-period mean-variance portfolio optimization with Markov switching parameters, Automatica 44 (2008) 2487–2497. [11] X. Cui, J. Gao, X. Li, D. Li, Optimal multi-period mean-variance policy under no-shorting con- straint, European J. Oper. Res. 234 (2014) 459–468. [12] N. Dokuchaev, Discrete time market with serial correlations and optimal myopic strategies, Euro- pean J. Oper. Res. 177 (2007) 1090–1104. [13] H. Ge, X. Li, X. Li, Z. Li, Equilibrium strategy for a multi-period weighted mean-variance portfolio selection in a Markov regime-switching market with uncertain time-horizon and a stochastic cash flow, Comm. Statist. Theory Methods 52 (2023) 1797–1832. [14] J. Gao, D. Li, Multiperiod mean-variance portfolio optimization with general correlated returns, IFAC Proceedings 47 (2014) 9007–9012. [15] J. Gao, D. Li, X. Cui, S. Wang, Time cardinality constrained mean-variance dynamic portfolio selection and market timing: a stochastic control approach, Automatica 54 (2015) 91–99 [16] R. Keykhaei, Mean-variance portfolio selection in a Markovian regime-switching market when the uncertain time horizon is a stopping time of market state filtration: a multi-period model, J. Oper. Res. Soc. China, 2024. https://doi.org/10.1007/s40305-024-00559-8. [17] M. Leippold, F. Trojani, P. Vanini, A geometric approach to multiperiod mean variance optimiza- tion of assets and liabilities, J. Econom. Dynam. Control 28 (2004) 1079–1113. [18] D. Li, W.L. Ng, Optimal dynamic portfolio selection: multiperiod mean-variance formulation, Math. Finance 10 (2000) 387–406. [19] X. Li, X.Y. Zhou, A.E.B. Lim, Dynamic mean-variance portfolio selection with no-shorting con- straints, SIAM J. Control Optim. 40 (2002) 1540–1555. [20] D.G. Luenberger, Optimization by Vector Space Methods, Wiley, New York, 1968. [21] H. Markowitz, Portfolio selection J. Finance 7 (1952) 77–91. [22] R.C. Merton, An analytic derivation of the efficient portfolio, J. Finan. Quant. Anal. 7 (1972) 1852– 1872. [23] H. Wu, H. Chen, Nash equilibrium strategy for a multi-period mean-variance portfolio selection problem with regime switching, Econ. Model. 46 (2015) 79–90. [24] M.H. Wang, J. Yue, N.J. Huang, Optimal R&D Investment Problem with Regime-Switching, J. Optim. Theory Appl. 202 (2024) 878–896. [25] B. Wu, L. Li, Reinforcement learning for continuous-time mean-variance portfolio selection in a regime-switching market, J. Econom. Dynam. Control 158 (2024) 104787. [26] H. Wu, Y. Zeng, H. Yao, Multi-period Markowitz’s mean-variance portfolio selection with state- dependent exit probability, Econ. Model. 36 (2014) 69–78. [27] H. Xiao, Z. Zhou, T. Ren, Y. Bai, W. Liu, Time-consistent strategies for multi-period mean-variance portfolio optimization with the serially correlated returns, Comm. Statist. Theory Methods 49 (2020) 2831–2868. [28] Y. Xu, Z.F. Li, Dynamic portfolio selection based on serially correlated return-dynamic mean- variance formulation, Syst. Eng. Theory Pract. 18 (2008) 123–131. [29] H. Yao, D. Li, H. Wu, Dynamic trading with uncertain exit time and transaction costs in a general Markov market, Int. Rev. Financial Anal. 84 (2022) 102371. [30] L. Zhang, Z. Li, Multi-period mean-variance portfolio selection with uncertain time horizon when returns are serially correlated, Math. Probl. Eng. 2012 (2012) 216891. [14] J. Gao, D. Li, Multiperiod mean-variance portfolio optimization with general correlated returns, IFAC Proceedings 47 (2014) 9007–9012. [15] J. Gao, D. Li, X. Cui, S. Wang, Time cardinality constrained mean-variance dynamic portfolio selection and market timing: a stochastic control approach, Automatica 54 (2015) 91–99 [16] R. Keykhaei, Mean-variance portfolio selection in a Markovian regime-switching market when the uncertain time horizon is a stopping time of market state filtration: a multi-period model, J. Oper. Res. Soc. China, 2024. https://doi.org/10.1007/s40305-024-00559-8. [17] M. Leippold, F. Trojani, P. Vanini, A geometric approach to multiperiod mean variance optimiza- tion of assets and liabilities, J. Econom. Dynam. Control 28 (2004) 1079–1113. [18] D. Li, W.L. Ng, Optimal dynamic portfolio selection: multiperiod mean-variance formulation, Math. Finance 10 (2000) 387–406. [19] X. Li, X.Y. Zhou, A.E.B. Lim, Dynamic mean-variance portfolio selection with no-shorting con- straints, SIAM J. Control Optim. 40 (2002) 1540–1555. [20] D.G. Luenberger, Optimization by Vector Space Methods, Wiley, New York, 1968. [21] H. Markowitz, Portfolio selection J. Finance 7 (1952) 77–91. [22] R.C. Merton, An analytic derivation of the efficient portfolio, J. Finan. Quant. Anal. 7 (1972) 1852– 1872. [23] H. Wu, H. Chen, Nash equilibrium strategy for a multi-period mean-variance portfolio selection problem with regime switching, Econ. Model. 46 (2015) 79–90. [24] M.H. Wang, J. Yue, N.J. Huang, Optimal R&D Investment Problem with Regime-Switching, J. Optim. Theory Appl. 202 (2024) 878–896. [25] B. Wu, L. Li, Reinforcement learning for continuous-time mean-variance portfolio selection in a regime-switching market, J. Econom. Dynam. Control 158 (2024) 104787. [26] H. Wu, Y. Zeng, H. Yao, Multi-period Markowitz’s mean-variance portfolio selection with state- dependent exit probability, Econ. Model. 36 (2014) 69–78. [27] H. Xiao, Z. Zhou, T. Ren, Y. Bai, W. Liu, Time-consistent strategies for multi-period mean-variance portfolio optimization with the serially correlated returns, Comm. Statist. Theory Methods 49 (2020) 2831–2868. [28] Y. Xu, Z.F. Li, Dynamic portfolio selection based on serially correlated return-dynamic mean- variance formulation, Syst. Eng. Theory Pract. 18 (2008) 123–131. [29] H. Yao, D. Li, H. Wu, Dynamic trading with uncertain exit time and transaction costs in a general Markov market, Int. Rev. Financial Anal. 84 (2022) 102371. [30] L. Zhang, Z. Li, Multi-period mean-variance portfolio selection with uncertain time horizon when returns are serially correlated, Math. Probl. Eng. 2012 (2012) 216891. | ||
|
آمار تعداد مشاهده مقاله: 381 تعداد دریافت فایل اصل مقاله: 578 |
||