Residential College | false |
Status | 已發表Published |
Stochastic maximum principle for partially observed forward-backward stochastic differential equations with jumps and regime switching | |
Zhang, Shuaiqi; Xiong, Jie; Liu, Xiangdong | |
2018-07 | |
Source Publication | SCIENCE CHINA-INFORMATION SCIENCES |
ISSN | 1674-733X |
Volume | 61Issue:7 |
Abstract | In this article, we consider the partially observed optimal control problem for forward-backward stochastic systems with Markovian regime switching. A stochastic maximum principle for optimal control is developed using a variational method and filtering technique. Our theoretical results are applied to the motivating example of the risk minimization for portfolio selection. |
Keyword | Partial Information Markovian Regime-switching Stochastic Maximum Principle Forward-backward Stochastic Differential Equation (Fbsde) |
DOI | 10.1007/s11432-017-9267-0 |
URL | View the original |
Indexed By | SCIE |
Language | 英語English |
WOS Research Area | Computer Science ; Engineering |
WOS Subject | Computer Science, Information Systems ; Engineering, Electrical & Electronic |
WOS ID | WOS:000436183000001 |
Publisher | SCIENCE PRESS |
The Source to Article | WOS |
Scopus ID | 2-s2.0-85047339728 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | University of Macau |
Recommended Citation GB/T 7714 | Zhang, Shuaiqi,Xiong, Jie,Liu, Xiangdong. Stochastic maximum principle for partially observed forward-backward stochastic differential equations with jumps and regime switching[J]. SCIENCE CHINA-INFORMATION SCIENCES, 2018, 61(7). |
APA | Zhang, Shuaiqi., Xiong, Jie., & Liu, Xiangdong (2018). Stochastic maximum principle for partially observed forward-backward stochastic differential equations with jumps and regime switching. SCIENCE CHINA-INFORMATION SCIENCES, 61(7). |
MLA | Zhang, Shuaiqi,et al."Stochastic maximum principle for partially observed forward-backward stochastic differential equations with jumps and regime switching".SCIENCE CHINA-INFORMATION SCIENCES 61.7(2018). |
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