文件夹
投资组合优化
可再生能源
股票市场
应用程序组合管理
组合保险
库存(枪支)
有效边界
经济
业务
金融经济学
复制投资组合
项目组合管理
工程类
生物
电气工程
项目管理
古生物学
管理
机械工程
马
作者
Lan Bai,Yuntong Liu,Qian Wang,Chen Chen
标识
DOI:10.1016/j.physa.2019.122059
摘要
As the largest coal and the second largest crude oil consumer in the world, China has urgent task to develop its renewable energy industry quickly. By now, there are over 80 renewable energy companies listed in China’s stock exchanges. Thus to manage the market risk and achieve better investment returns of renewable energy stocks in China is of great value for policy makers and investors. The aim of this paper is to introduce an innovative portfolio allocation approach, robust portfolio, to improve portfolio performance of renewable energy stocks in China by considering the parameter uncertainty in the process of portfolio optimization. Furthermore, to make the conclusions more robust, we classify the stock market into three commonly recognized statuses: bull market, bear market and steady market, respectively, and compare the performances of robust portfolio method with traditional Markowitz approach. The empirical results indicate that the robust portfolio method can produce better performance of the renewable energy stock portfolio than Markowitz approach in various market statuses with much more flexibility in handling the problem of parameter uncertainty. This paper provides an alternative but very effective strategy other than Markowitz method for the portfolio allocation of renewable energy stocks in China.
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