Hawkes跳扩散模型下的最优投资策略
PDF下载 (100)贾沐真,王 伟.Hawkes跳扩散模型下的最优投资策略[J].宁波大学学报(理工版),2025,38(6):97-104.DOI:10.20098/j.cnki.1001-5132.2025.0528
JIA Muzhen,WANG Wei.Optimal investment strategies portfolio under the Hawkes jump-diffusion model[J].Journal of Ningbo University(Natural Science & Engineering Edition),2025,38(6):97-104.DOI:10.20098/j.cnki.1001-5132.2025.0528
| Title: | Optimal investment strategies portfolio under the Hawkes jump-diffusion model |
| 作者: | 贾沐真, 王 伟 |
| Author(s): | JIA Muzhen, WANG Wei |
| 关键词: | Hawkes跳扩散; 动态规划; 最优投资; 迭代收敛 |
| Keywords: | Hawkes jump diffusion; dynamic programming; optimal investment; iterative convergence |
| 分类号: | O211.9 |
| DOI: | 10.20098/j.cnki.1001-5132.2025.0528 |
| 文献标识码: | A |
| 摘要: | 旨在研究投资者在股票和货币市场账户之间的最优资产配置问题,为此假定股票价格服从Hawkes跳扩散模型,且跳跃幅度满足正态分布,以最大化终端财富效用为目标,运用随机动态规划方法构建相应的Hamilton-Jacobi-Bellman(HJB)方程,并利用Feynman-Kac公式获得值函数的隐式解,再基于Banach不动点定理严格证明了最优投资策略的收敛性,最后采用迭代收敛数值方法求解出最优投资策略的解析解。数值结果证实,Hawkes跳扩散模型的自激发性对最优投资策略存在显著影响。 |
| Abstract: | This paper studies the optimal asset allocation of investors between stock and money market accounts. The price dynamics of risky assets are assumed to follow a Hawkes jump diffusion model, and the jump sizes satisfy a normal distribution. Aiming to maximize the utility of terminal wealth, the corresponding Hamilton-Jacobi-Bellman (HJB) equation is constructed using the stochastic dynamic programming method. The implicit solution of the value function is obtained via the Feynman-Kac formula. Furthermore, the convergence of the optimal investment strategy is rigorously proven using the Banach fixed-point theorem. Finally, the analytical solution of the optimal investment strategy is derived through an iterative convergent numerical method. The numerical results show that the self-exciting property of the Hawkes jump diffusion model has a significant impact on the optimal investment strategy. |
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| 备注/Memo: | 收稿日期:2025−05−27 宁波大学学报(理工版)网址:http://journallg.nbu.edu.cn/ 基金项目:国家自然科学基金数学天元基金(12226510);宁波市自然科学基金(2024J193) 第一作者:贾沐真,硕士研究生,主要研究方向为应用概率统计。E-mail: 2311400025@nbu.edu.cn *通信作者:王 伟,教授,主要研究方向为应用概率统计。E-mail: wangwei2@nbu.edu.cn 宁波大学学报(理工版)网址:http://journallg.nbu.edu.cn/ |