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  • 标题:Portfolio Construction of Energy-Related Assets
  • 本地全文:下载
  • 作者:Yifei Feng ; Kexin Li ; Yingxuan Wang
  • 期刊名称:E3S Web of Conferences
  • 印刷版ISSN:2267-1242
  • 电子版ISSN:2267-1242
  • 出版年度:2021
  • 卷号:275
  • 页码:1-4
  • DOI:10.1051/e3sconf/202127501001
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要:Portfolio construction is one of the most fatal issues of modern finance, which can effectively gain returns or reduce risks. This study constructs portfolios in energy-related assets. Specifically, the Monte Carlo simulations are carried out for a hundred thousand times in order to discover the efficient frontier and find the minimum variance and the maximum sharp ratio portfolio. According to the simulations, the American Electric Power possesses the largest share in minimum variance portfolio, while NextEra Energy for sharp ratio method. The results may benefit certain investor in financial markets and shed lights to focus more on portfolio allocation during constructing.
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