数学理论与应用 ›› 2016, Vol. 36 ›› Issue (3): 77-82.

• • 上一篇    下一篇

部分信息下含债务的马氏调制收益率的最优投资组合问题

周越   

  1. 河南科技学院,新乡,453003
  • 出版日期:2016-09-30 发布日期:2020-09-28
  • 基金资助:

    河南省重点科技攻关项目(162102110172);

    河南科技学院大学生创新项目(2014CX086)

Optimal Portfolio Selection Problem with Liability and Return Rate Modulated by Markov Chain under Partial Information

Zhou Yue   

  1. Henan Institute of Science and Technology,Xinxiang 453003,China
  • Online:2016-09-30 Published:2020-09-28

摘要: 带有确定性参数的金融模型只能描述较短的时间内的状态演化,不能反映市场条件的变化.在投资过程中,投资者一般仅能够观察到资产的价格,不能直接观察到资产的平均收益率和波动率.考虑一个简化的连续时间的金融市场,这个市场带有无风险资产(债券)和风险资产(股票)两种资产.在债务为线性扩散模型下,利用Wonham滤波理论估计股票的平均收益率,研究了使得指数期望效用最大的最优投资组合选择问题.利用随机线性二次控制方法,得到最优投资组合策略和最大期望指数效用的显示解.

关键词:

"> 部分信息, 负债, 线性扩散模型, Kalman滤波, 投资组合, 线性——二次控制

Abstract: It is well-known that a financial model with deterministic coefficients are only good for a relative short period of time and cannot respond to changing conditions.The information available to the investor is the filtration generated by the asset price processes only.The investor can in general not directly observe the mean return rate processes and the volatility process of the asset price process.A simplified continuous time financial market with one risk-free asset(bond)and one risk asset(stock)were assumed.When the liability process is modeled by a linear-diffusion model and the mean return rates is modulated by a finite state continuous-time Markov chain,we estimate the mean return rates of stock under the Woham filter.By using the stochastic linear-quadratic control technique,the closed form solutions of the optimal portfolio strategy and the maximal expected exponential utility are obtained under the partial information.

Key words: Partial information, Liability, Linear diffusion model, Kalman filter , , Portfolio, Linear-quadratic control