Risk-sensitive Portfolio Optimization with Two-factor Having a Memory Effect

被引:0
作者
Hayashi T. [1 ]
Sekine J. [2 ]
机构
[1] Department of Applied Mathematics and Physics, Graduate School of Informatics, Kyoto University, Kyoto 606-8501, Yoshida-Honmachi, Sakyo-ku
[2] Division of Mathematical Science for Social Systems, Graduate School of Engineering Science, Osaka University, Osaka 560-8501, 1-3, Machikaneyama-cho, Toyonaka
关键词
Algebraic/differential Riccati equation; CPPI; Exponential of linear-quadratic-gaussian control; Memory effect; Risk-sensitive portfolio optimization; Two-dimensional factor;
D O I
10.1007/s10690-010-9136-y
中图分类号
学科分类号
摘要
Risk-sensitive portfolio optimization problems are studied with a specific setting: a market model with a two-dimensional linear-factor is considered, where the factor consisits of an Ornshtein-Uhlenbeck process and its historic weighted-average. A sharp solvability condition is obtained in risk-seeking case. Further, an application of CPPI technique is mentioned to treat a problem with floor-constraint. © 2010 Springer Science+Business Media, LLC.
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页码:385 / 403
页数:18
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