In this paper, we derive a general stochastic maximum principle for a risk-sensitive type optimal control problem of Markov regime-switching jump-diffusion model. The results are obtained via a logarithmic transformation and the relationship between adjoint variables and the value function. We apply the results to study both a linear-quadratic optimal control problem and a risk-sensitive benchmarked asset management problem for Markov regime-switching models. In the latter case, the optimal control is of feedback form and is given in terms of solutions to a Markov regime-switching Riccatti equation and an ordinary Markov regime-switching differential equation.
Accepté le :
DOI : 10.1051/cocv/2017039
Mots-clés : Risk-sensitive control, Regime-switching, Jump-diffusion, Stochastic maximum principle, Asset management
@article{COCV_2018__24_3_985_0, author = {Sun, Zhongyang and Kemajou-Brown, Isabelle and Menoukeu-Pamen, Olivier}, title = {A risk-sensitive maximum principle for a {Markov} regime-switching jump-diffusion system and applications}, journal = {ESAIM: Control, Optimisation and Calculus of Variations}, pages = {985--1013}, publisher = {EDP-Sciences}, volume = {24}, number = {3}, year = {2018}, doi = {10.1051/cocv/2017039}, mrnumber = {3877190}, zbl = {1405.93234}, language = {en}, url = {http://archive.numdam.org/articles/10.1051/cocv/2017039/} }
TY - JOUR AU - Sun, Zhongyang AU - Kemajou-Brown, Isabelle AU - Menoukeu-Pamen, Olivier TI - A risk-sensitive maximum principle for a Markov regime-switching jump-diffusion system and applications JO - ESAIM: Control, Optimisation and Calculus of Variations PY - 2018 SP - 985 EP - 1013 VL - 24 IS - 3 PB - EDP-Sciences UR - http://archive.numdam.org/articles/10.1051/cocv/2017039/ DO - 10.1051/cocv/2017039 LA - en ID - COCV_2018__24_3_985_0 ER -
%0 Journal Article %A Sun, Zhongyang %A Kemajou-Brown, Isabelle %A Menoukeu-Pamen, Olivier %T A risk-sensitive maximum principle for a Markov regime-switching jump-diffusion system and applications %J ESAIM: Control, Optimisation and Calculus of Variations %D 2018 %P 985-1013 %V 24 %N 3 %I EDP-Sciences %U http://archive.numdam.org/articles/10.1051/cocv/2017039/ %R 10.1051/cocv/2017039 %G en %F COCV_2018__24_3_985_0
Sun, Zhongyang; Kemajou-Brown, Isabelle; Menoukeu-Pamen, Olivier. A risk-sensitive maximum principle for a Markov regime-switching jump-diffusion system and applications. ESAIM: Control, Optimisation and Calculus of Variations, Tome 24 (2018) no. 3, pp. 985-1013. doi : 10.1051/cocv/2017039. http://archive.numdam.org/articles/10.1051/cocv/2017039/
[1] Matrix Riccati Equations in Control and Systems Theory. Springer, Basel-Boston-Berlin (2003) | DOI | MR | Zbl
, , and ,[2] Risk-sensitive dynamic asset management. Appl. Math. Optimiz. 39 (1999) 337–360 | DOI | MR | Zbl
and ,[3] Minimum principle for partially observable nonlinear risk-sensitive control problems using measure-valued decompositions. Stochastics. 57 (1996) 247–288 | MR | Zbl
and ,[4] Mean-variance principle of managing cointegrated risky assets and random liabilities. Oper. Res. Lett. 41 (2013) 98–106 | DOI | MR | Zbl
and ,[5] About the Pricing Equations in Finance. Springer, Berlin (2010) | MR | Zbl
,[6] Risk-sensitive benchmarked asset management. Quant. Financ. 8 (2008) 415–426 | DOI | MR | Zbl
and ,[7] Jump-diffusion risk-sensitive asset management I: diffusion factor model. SIAM J. Financ. Math. 2 (2011) 22–54 | DOI | MR | Zbl
and ,[8] Jump-diffusion risk-sensitive asset management II: jump-diffusion factor model. SIAM J. Control. Optimiz. 51 (2013) 1441–1480 | DOI | MR | Zbl
and ,[9] Sufficient stochastic maximum principle in a regime-switching diffusion model. Appl. Math. Optimiz. 64 (2011) 155–169 | DOI | MR | Zbl
,[10] Quadratic risk minimization in a regime-switching model with portfolio constraints. SIAM J. Control. Optimiz. 50 (2012) 2431–2461 | DOI | MR | Zbl
and ,[11] Hidden Markov Models: Estimation and Control. Springer, New York (1994) | MR | Zbl
, and ,[12] A stochastic differential game for optimal investment of an insurer with regime switching. Quant. Financ. 11 (2011) 365–380 | DOI | MR | Zbl
and ,[13] Weak necessary and sufficient stochastic maximum principle for markovian regime-switching diffusion models. Appl. Math. Optimiz. 71 (2013) 1–39 | MR
and ,[14] A new risk-sensitive maximum principle. IEEE T. Automat. Control. 50 (2005) 958–966 | DOI | MR | Zbl
and ,[15] Maximum principles of Markov regime-switching forward backward stochastic differential equations with jumps and partial information. (2014) | arXiv
,[16] A maximum principle for Markov regime-switching forward-backward stochastic differential games and applications. Math. Meth. Oper. Res. 85 (2017) 349–388 | DOI | MR | Zbl
and ,[17] Risk-sensitive dynamic portfolio optimization with partial information on infinite time horizon. Ann. Appl. Probab. 12 (2002) 173–195 | DOI | MR | Zbl
and ,[18] Mean-variance portfolio selection under a constant elasticity of variance model. Oper. Res. Lett. 42 (2014) 337–342 | DOI | MR | Zbl
, and ,[19] A risk-sensitive stochastic maximum principle for optimal control of jump diffusions and its applications. Acta. Math. Sci. 31 (2011) 419–433 | DOI | MR | Zbl
and ,[20] Maximum principle for forward-backward stochastic control system under G-expectation and relation to dynamic programming. J. Comput. Appl. Math. 296 (2016) 753–775 | DOI | MR | Zbl
,[21] Maximum principle for Markov regime-switching forward-backward stochastic control system with jumps and relation to dynamic programming. J. Optimiz. Theory. Appl. DOI: (2017) | DOI | MR
, and ,[22] Necessary conditions for optimal control of stochastic systems with random jumps. SIAM J. Control. Optimiz. 32 (1994) 1447–1475 | DOI | MR | Zbl
and ,[23] Risk-Sensitive Optimal Control. Wiley, New York (1990) | MR | Zbl
,[24] Stock trading: an optimal selling rule. SIAM J. Control. Optimiz. 40 (2001) 64–87 | DOI | MR | Zbl
,[25] A stochastic maximum principle for a markov regime-switching jump-diffusion model and its application to finance. SIAM J. Control. Optimiz. 50 (2012) 964–990 | DOI | MR | Zbl
, and ,Cité par Sources :