首页> 外文期刊>Insurance >Optimal consumption-investment strategy under the Vasicek model: HARA utility and Legendre transform
【24h】

Optimal consumption-investment strategy under the Vasicek model: HARA utility and Legendre transform

机译:Vasicek模型下的最优消费投资策略:HARA效用和Legendre变换

获取原文
获取原文并翻译 | 示例
           

摘要

This paper studies the optimal consumption-investment strategy with multiple risky assets and stochastic interest rates, in which interest rate is supposed to be driven by the Vasicek model. The objective of the individuals is to seek an optimal consumption-investment strategy to maximize the expected discount utility of intermediate consumption and terminal wealth in the finite horizon. In the utility theory, Hyperbolic Absolute Risk Aversion (HARA) utility consists of CRRA utility, CARA utility and Logarithmic utility as special cases. In addition, HARA utility is seldom studied in continuous-time portfolio selection theory due to its sophisticated expression. In this paper, we choose HARA utility as the risky preference of the individuals. Due to the complexity of the structure of the solution to the original Hamilton-Jacobi-Bellman (HJB) equation, we use Legendre transform to change the original non-linear HJB equation into its linear dual one, whose solution is easy to conjecture in the case of HARA utility. By calculations and deductions, we obtain the closed-form solution to the optimal consumption-investment strategy in a complete market. Moreover, some special cases are also discussed in detail. Finally, a numerical example is given to illustrate our results. (C) 2016 Elsevier B.V. All rights reserved.
机译:本文研究了具有多种风险资产和随机利率的最优消费投资策略,其中利率由Vasicek模型驱动。个人的目标是寻求最佳的消费投资策略,以在有限的范围内最大化中间消费和终端财富的预期折扣效用。在效用理论中,双曲线绝对风险规避(HARA)效用由CRRA效用,CARA效用和对数效用组成。此外,由于其复杂的表达方式,因此很少在连续时间投资组合选择理论中研究HARA效用。在本文中,我们选择HARA效用作为个体的风险偏好。由于原始Hamilton-Jacobi-Bellman(HJB)方程解的结构复杂,我们使用Legendre变换将原始非线性HJB方程更改为其线性对偶方程,其解易于在HARA实用程序的案例。通过计算和推论,我们获得了完整市场中最优消费投资策略的封闭式解决方案。此外,还将详细讨论一些特殊情况。最后,给出一个数值例子来说明我们的结果。 (C)2016 Elsevier B.V.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号