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基于滚动经济回撤约束和下半方差的最优投资组合策略
引用本文:于孝建,王秀花,徐维军. 基于滚动经济回撤约束和下半方差的最优投资组合策略[J]. 系统工程理论与实践, 2018, 38(3): 545-555. DOI: 10.12011/1000-6788(2018)03-0545-11
作者姓名:于孝建  王秀花  徐维军
作者单位:1. 华南理工大学 经济与贸易学院, 广州 510006;2. 华南理工大学 金融工程研究中心, 广州 510006;3. 华南理工大学 工商管理学院, 广州 510640
基金项目:国家自然科学基金(71171091);中央高校基本科研业务费自主选题面上项目(2013ZM0120,2013X2D10)
摘    要:最大回撤和下半方差均是投资者在实际投资过程中非常关注的风险指标.本文创造性地将这两个风险指标纳入投资组合分析框架,提出了基于风险资产滚动经济回撤约束和下半方差的最优投资组合策略(REDP-LSV策略).该策略以风险资产滚动经济最大回撤为约束条件,以风险资产的下半方差代替方差,研究了投资组合中风险资产的动态配置过程,并给出了解析解.分别采用模拟的实验数据以及中国市场实际风险资产数据,研究了投资组合中包含一种风险资产和两种风险资产的情况,结果均显示REDP-LSV策略能很好地控制最大回撤,且更能提高投资绩效.

关 键 词:滚动最大回撤  下半方差  最优投资组合  蒙特卡罗模拟  
收稿时间:2016-09-21

Optimal portfolio strategy under rolling economic drawdown constraints with lower semi-variance
YU Xiaojian,WANG Xiuhua,XU Weijun. Optimal portfolio strategy under rolling economic drawdown constraints with lower semi-variance[J]. Systems Engineering —Theory & Practice, 2018, 38(3): 545-555. DOI: 10.12011/1000-6788(2018)03-0545-11
Authors:YU Xiaojian  WANG Xiuhua  XU Weijun
Affiliation:1. School of Economics and Commerce, South China University of Technology, Guangzhou 510006, China;2. Research Center of Financial Engineering, South China University of Technology, Guangzhou 510006, China;3. School of Business Administration, South China University of Technology, Guangzhou 510640, China
Abstract:The maximum drawdown and the lower-semi-variance are risk indicators that investors concern about during the actual investment process. This paper combines this two indicators into analytical framework and proposes an optimal portfolio strategy under rolling economic drawdown constraints with lower-semi-variance (REDP-LSV strategy). Under the constraint of the rolling economic maximum drawdown of risky asset's prices, we have studied the dynamical allocation of the risky assets in the portfolio and derived a analytical solution by using the lower-semi-variance instead of the variance of risky asset. The investment cases of one risky asset and two risky asset are both studied in this paper. Using data from simulated experiment and real risky assets of Chinese stock market, it turns out that the REDP-LSV strategy is able to control the maximum drawdown and improve the performance of investment.
Keywords:rolling maximum drawdown  lower-semi-variance  optimal portfolio  Monte Carlo simulation  
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