This article studies the optimal proportional reinsurance and investment problem under a constant elasticity of variance (CEV) model. Assume that the insurer's surplus process follows a jump-diffusion process, the ...This article studies the optimal proportional reinsurance and investment problem under a constant elasticity of variance (CEV) model. Assume that the insurer's surplus process follows a jump-diffusion process, the insurer can purchase proportional reinsurance from the reinsurer via the variance principle and invest in a risk-free asset and a risky asset whose price is modeled by a CEV model. The diffusion term can explain the uncertainty associated with the surplus of the insurer or the additional small claims. The objective of the insurer is to maximize the expected exponential utility of terminal wealth. This optimization problem is studied in two cases depending on the diffusion term's explanation. In all cases, by using techniques of stochastic control theory, closed-form expressions for the value functions and optimal strategies are obtained.展开更多
假设风险资产(股票)服从CEV(Constant Elasticity of Variance)过程,在考虑交易成本的情况下,构建了同时存在无风险资产和风险资产时,投资者的最优投资策略。以期望效用最大化为目标,运用HJB构造微分方程,并以对数效用函数为例,求出最...假设风险资产(股票)服从CEV(Constant Elasticity of Variance)过程,在考虑交易成本的情况下,构建了同时存在无风险资产和风险资产时,投资者的最优投资策略。以期望效用最大化为目标,运用HJB构造微分方程,并以对数效用函数为例,求出最佳投资比例的解析解。最后,给出了考虑随机利率时的最优策略问题求解。展开更多
Based on the Lie symmetry method,we derive the explicit optimal invest strategy for an investor who seeks to maximize the expected exponential(CARA)utility of the terminal wealth in a defined-contribution pension plan...Based on the Lie symmetry method,we derive the explicit optimal invest strategy for an investor who seeks to maximize the expected exponential(CARA)utility of the terminal wealth in a defined-contribution pension plan under a constant elasticity of variance model.We examine the point symmetries of the Hamilton-Jacobi-Bellman(HJB)equation associated with the portfolio optimization problem.The symmetries compatible with the terminal condition enable us to transform the(2+1)-dimensional HJB equation into a(1+1)-dimensional nonlinear equation which is linearized by its infinite-parameter Lie group of point transformations.Finally,the ansatz technique based on variables separation is applied to solve the linear equation and the optimal strategy is obtained.The algorithmic procedure of the Lie symmetry analysis method adopted here is quite general compared with conjectures used in the literature.展开更多
文摘This article studies the optimal proportional reinsurance and investment problem under a constant elasticity of variance (CEV) model. Assume that the insurer's surplus process follows a jump-diffusion process, the insurer can purchase proportional reinsurance from the reinsurer via the variance principle and invest in a risk-free asset and a risky asset whose price is modeled by a CEV model. The diffusion term can explain the uncertainty associated with the surplus of the insurer or the additional small claims. The objective of the insurer is to maximize the expected exponential utility of terminal wealth. This optimization problem is studied in two cases depending on the diffusion term's explanation. In all cases, by using techniques of stochastic control theory, closed-form expressions for the value functions and optimal strategies are obtained.
文摘假设风险资产(股票)服从CEV(Constant Elasticity of Variance)过程,在考虑交易成本的情况下,构建了同时存在无风险资产和风险资产时,投资者的最优投资策略。以期望效用最大化为目标,运用HJB构造微分方程,并以对数效用函数为例,求出最佳投资比例的解析解。最后,给出了考虑随机利率时的最优策略问题求解。
基金supported in part by the 13th Five-Year National Key Research and Development Program of China(Grant No.2016YFCO401407)the National Natural Science Foundation of China(Grant No.72071076)+1 种基金the Beijing NaturalScience Foundation(Grant No.Z200001)the Fundamental Research Funds of the Central Universities(Grant Nos.2019MS050,2020MS043).
文摘Based on the Lie symmetry method,we derive the explicit optimal invest strategy for an investor who seeks to maximize the expected exponential(CARA)utility of the terminal wealth in a defined-contribution pension plan under a constant elasticity of variance model.We examine the point symmetries of the Hamilton-Jacobi-Bellman(HJB)equation associated with the portfolio optimization problem.The symmetries compatible with the terminal condition enable us to transform the(2+1)-dimensional HJB equation into a(1+1)-dimensional nonlinear equation which is linearized by its infinite-parameter Lie group of point transformations.Finally,the ansatz technique based on variables separation is applied to solve the linear equation and the optimal strategy is obtained.The algorithmic procedure of the Lie symmetry analysis method adopted here is quite general compared with conjectures used in the literature.