期刊论文详细信息
Abstract and Applied Analysis
Nonzero-Sum Stochastic Differential Game between Controller and Stopper for Jump Diffusions
Research Article
Enmin Feng1  Cheng-De Zheng3  Aimin Song3  Yan Wang2 
[1] School of Mathematical Sciences, Dalian University of Technology, Dalian 116023, China, dlut.edu.cn;School of Mathematical Sciences, Dalian University of Technology, Dalian 116023, China, dlut.edu.cn;School of Science, Dalian Jiaotong University, Dalian 116028, China, djtu.edu.cn;School of Science, Dalian Jiaotong University, Dalian 116028, China, djtu.edu.cn
Others  :  1297443
DOI  :  10.1155/2013/761306
 received in 2013-02-05, accepted in 2013-05-07,  发布年份 2013
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【 摘 要 】

We consider a nonzero-sum stochastic differential game which involves two players, a controller and a stopper. The controller chooses a control process, and the stopper selects the stopping rule which halts the game. This game is studied in a jump diffusions setting within Markov control limit. By a dynamic programming approach, we give a verification theorem in terms of variational inequality-Hamilton-Jacobi-Bellman (VIHJB) equations for the solutions of the game. Furthermore, we apply the verification theorem to characterize Nash equilibrium of the game in a specific example.

【 授权许可】

CC BY   
Copyright © 2013 Yan Wang et al. 2013

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【 参考文献 】
  • [1]J. Bertoin. (1996). Lévy Processes:x+265. DOI: 10.1080/17442500701655408.
  • [2]D. Applebaum. (2003). Lévy Processes and Stochastic Calculus. DOI: 10.1080/17442500701655408.
  • [3]S. Mataramvura, B. Øksendal. (2008). Risk minimizing portfolios and HJBI equations for stochastic differential games. Stochastics.80(4):317-337. DOI: 10.1080/17442500701655408.
  • [4]R. J. Elliott, T. K. Siu. (2010). On risk minimizing portfolios under a Markovian regime-switching Black-Scholes economy. Annals of Operations Research.176:271-291. DOI: 10.1080/17442500701655408.
  • [5]G. Wang, Z. Wu. (2011). Mean-variance hedging and forward-backward stochastic differential filtering equations. Abstract and Applied Analysis.2011-20. DOI: 10.1080/17442500701655408.
  • [6]I. Karatzas, W. Sudderth. (2006). Stochastic games of control and stopping for a linear diffusion. Random Walk, Sequential Analysis and Related Topics: A Festschrift in Honor of Y.S. Chow:100-117. DOI: 10.1080/17442500701655408.
  • [7]S. Hamadène. (2006). Mixed zero-sum stochastic differential game and American game options. SIAM Journal on Control and Optimization.45(2):496-518. DOI: 10.1080/17442500701655408.
  • [8]M. K. Ghosh, M. K. S. Rao, D. Sheetal. (2009). Differential games of mixed type with control and stopping times. Nonlinear Differential Equations and Applications.16(2):143-158. DOI: 10.1080/17442500701655408.
  • [9]M. K. Ghosh, K. S. Mallikarjuna Rao. (2012). Existence of value in stochastic differential games of mixed type. Stochastic Analysis and Applications.30(5):895-905. DOI: 10.1080/17442500701655408.
  • [10]I. Karatzas, Q. Li. (2012). BSDE approach to non-zero-sum stochastic differential games of control and stopping. Stochastic Processes, Finance and Control:105-153. DOI: 10.1080/17442500701655408.
  • [11]J.-P. Lepeltier. (1985). On a general zero-sum stochastic game with stopping strategy for one player and continuous strategy for the other. Probability and Mathematical Statistics.6(1):43-50. DOI: 10.1080/17442500701655408.
  • [12]I. Karatzas, W. D. Sudderth. (2001). The controller-and-stopper game for a linear diffusion. The Annals of Probability.29(3):1111-1127. DOI: 10.1080/17442500701655408.
  • [13]A. Weerasinghe. (2006). A controller and a stopper game with degenerate variance control. Electronic Communications in Probability.11:89-99. DOI: 10.1080/17442500701655408.
  • [14]I. Karatzas, I.-M. Zamfirescu. (2008). Martingale approach to stochastic differential games of control and stopping. The Annals of Probability.36(4):1495-1527. DOI: 10.1080/17442500701655408.
  • [15]E. Bayraktar, I. Karatzas, S. Yao. (2010). Optimal stopping for dynamic convex risk measures. Illinois Journal of Mathematics.54(3):1025-1067. DOI: 10.1080/17442500701655408.
  • [16]E. Bayraktar, V. R. Young. (2011). Proving regularity of the minimal probability of ruin via a game of stopping and control. Finance and Stochastics.15(4):785-818. DOI: 10.1080/17442500701655408.
  • [17]F. Bagherya, S. Haademb, B. Øksendal, I. Turpina. et al.(2013). Optimal stopping and stochastic control differential games for jump diffusions. Stochastics.85(1):85-97. DOI: 10.1080/17442500701655408.
  • [18]B. Øksendal, A. Sulem. (2007). Applied Stochastic Control of Jump Diffusions:xiv+257. DOI: 10.1080/17442500701655408.
  • [19]Q. Lin, R. Loxton, K. L. Teo, Y. H. Wu. et al.(2011). A new computational method for a class of free terminal time optimal control problems. Pacific Journal of Optimization.7(1):63-81. DOI: 10.1080/17442500701655408.
  • [20]Q. Lin, R. Loxton, K. L. Teo, Y. H. Wu. et al.(2012). Optimal control computation for nonlinear systems with state-dependent stopping criteria. Automatica.48(9):2116-2129. DOI: 10.1080/17442500701655408.
  • [21]C. Jiang, Q. Lin, C. Yu, K. L. Teo. et al.(2012). An exact penalty method for free terminal time optimal control problem with continuous inequality constraints. Journal of Optimization Theory and Applications.154(1):30-53. DOI: 10.1080/17442500701655408.
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