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作 者:王丽媛 陈志平[1] 李宗欣 WANG Li-yuan;CHEN Zhi-ping;LI Zong-xin(School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an 710049)
机构地区:[1]西安交通大学数学与统计学院
出 处:《工程数学学报》2019年第5期557-577,共21页Chinese Journal of Engineering Mathematics
基 金:The National Natural Science Foundation of China(11735011;11571270);the World-Class Universities and the Characteristic Development Guidance Funds for the Central Universities(PY3A058)
摘 要:本文在不完全市场下研究了DC型养老金的连续时间最优投资问题.我们考虑了通货膨胀风险,这个因素非常重要但却在很多研究中被忽略了.与很多通常的模型不同的是,我们的模型以最大化实际终期财富的期望效用为目标,并且可以同时处理多个风险资产.通过减少布朗运动的维数使其与风险资产的数目相等,我们在完备市场下得到了一个辅助问题.应用随机动态规划方法,我们推导出相应的HJB方程,并在幂效用函数下求得了问题的显式解.最后,为了更好地理解模型结果,我们进行了一系列数值实验来说明模型主要参数对最优策略的影响.The continuous-time optimal investment problem for a defined contribution (DC) pension plan under an incomplete market is considered in this paper. We take into account the inflation risk which is important but neglected in most studies. Different from many usual models, the proposed model maximizes the expected utility of the actual terminal wealth and can cope with multiple risky assets. By reducing the dimension of the underlying Brownian motions to equal to the number of risky assets, we formulate an auxiliary problem under a complete market. Applying the stochastic dynamic programming method, we derive the associated Hamilton- Jacobi-Bellman (HJB) equation, and obtain the explicit solution under the power utility function. Finally, in order to better understand our results, numerical experiments are carried out to illustrate the effects of main parameters on the optimal strategy.
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