题名 | Stochastic Maximum Principle Under Probability Distortion |
作者 | |
通讯作者 | Xiong,Jie |
发表日期 | 2019
|
DOI | |
发表期刊 | |
ISSN | 0095-4616
|
EISSN | 1432-0606
|
卷号 | 83页码:2253-2271 |
摘要 | Within the framework of the cumulative prospective theory of Kahneman and Tversky, this paper considers a continuous-time behavioral portfolio selection problem whose model includes both running and terminal terms in the objective functional. Despite the existence of S-shaped utility functions and probability distortions, a necessary condition for the optimality is derived. The results are applied to a few examples. |
关键词 | |
相关链接 | [Scopus记录] |
收录类别 | |
语种 | 英语
|
学校署名 | 通讯
|
资助项目 | Southern University of Science and Technology Start up fund[Y01286120]
|
WOS研究方向 | Mathematics
|
WOS类目 | Mathematics, Applied
|
WOS记录号 | WOS:000493363900001
|
出版者 | |
EI入藏号 | 20194607674173
|
EI主题词 | Financial data processing
; Probability
; Continuous time systems
; Maximum principle
|
EI分类号 | Control Systems:731.1
; Probability Theory:922.1
; Systems Science:961
|
ESI学科分类 | MATHEMATICS
|
Scopus记录号 | 2-s2.0-85074025298
|
来源库 | Scopus
|
引用统计 |
被引频次[WOS]:2
|
成果类型 | 期刊论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/44023 |
专题 | 理学院_数学系 深圳国际数学中心(杰曼诺夫数学中心)(筹) |
作者单位 | 1.Department of MathematicsUniversity of Macau,Macao 2.Department of Mathematics and SUSTech International Center for MathematicsSouthern University of Science and Technology,Shenzhen,518055,China |
通讯作者单位 | 数学系; 深圳国际数学中心(杰曼诺夫数学中心)(筹) |
推荐引用方式 GB/T 7714 |
Liang,Qizhu,Xiong,Jie. Stochastic Maximum Principle Under Probability Distortion[J]. APPLIED MATHEMATICS AND OPTIMIZATION,2019,83:2253-2271.
|
APA |
Liang,Qizhu,&Xiong,Jie.(2019).Stochastic Maximum Principle Under Probability Distortion.APPLIED MATHEMATICS AND OPTIMIZATION,83,2253-2271.
|
MLA |
Liang,Qizhu,et al."Stochastic Maximum Principle Under Probability Distortion".APPLIED MATHEMATICS AND OPTIMIZATION 83(2019):2253-2271.
|
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | 操作 | |
10.1007@s00245-019-0(237KB) | -- | -- | 开放获取 | -- | 浏览 | |
Liang-2019-Stochasti(364KB) | -- | -- | 开放获取 | -- | 浏览 |
|
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论