Title :
Optimal Portfolios for DC Pension under the Quadratic Utility Function
Author :
Chubing, Zhang ; Ru-jing, Hou
Author_Institution :
Sch. of Manage., Tianjin Univ., Tianjin, China
Abstract :
The optimal investment strategies of defined-contribution pension under the quadratic utility function are studied in the paper. In our model, the plan member is allowed to invest in a risk-free asset and a risky asset, which is described by a constant elasticity of variance (CEV) model. By applying Legendre transform and dual theory, the non-linear second partial differential equation is transformed into a linear partial differential equation in order that the explicit solution for the quadratic utility function is found. The result shows that the optimal proportion invested in risky assets for the pension investor with the exponential utility function is divided into three parts: moving Merton factor, correction factor, contributions´ factor and the correction factor is a monotone decreasing function with respect to time t.
Keywords :
asset management; functions; investment; linear differential equations; partial differential equations; pensions; transforms; utility theory; CEV model; DC pension; Legendre transform; Merton factor; constant elasticity of variance model; contribution factor; correction factor; defined contribution pension; dual theory; exponential utility function; linear partial differential equation; monotone decreasing function; nonlinear second partial differential equation; optimal investment strategies; plan member; quadratic utility function; risk free asset investment; risky asset; Economics; Equations; Investments; Mathematical model; Pensions; Stochastic processes; Transforms; Hamilton-Jacobi-Bellman equation; defined contribution pension plan; optimal portfolios; quadratic utility function;
Conference_Titel :
Information Technology, Computer Engineering and Management Sciences (ICM), 2011 International Conference on
Conference_Location :
Nanjing, Jiangsu
Print_ISBN :
978-1-4577-1419-1
DOI :
10.1109/ICM.2011.385