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  • 标题:Risk Return Relationship in the Portfolio Selection Models
  • 本地全文:下载
  • 作者:Ken Hung ; C. W. Yang ; Yifan Zhao
  • 期刊名称:Theoretical Economics Letters
  • 印刷版ISSN:2162-2078
  • 电子版ISSN:2162-2086
  • 出版年度:2018
  • 卷号:08
  • 期号:03
  • 页码:358-366
  • DOI:10.4236/tel.2018.83025
  • 语种:English
  • 出版社:Scientific Research Publishing
  • 摘要:In this paper, we calculate four different kinds of means —AM, GM, HM, and GDM—to investigate the risk-return contour using Markowitz risk minimization and Sharpe’s angle maximization models. For a given value (target portfolio return), the rank order of risk or variance-covariance ( υ ) can change. In the vertical segment of an efficient frontier curve, we observed v(GDM) > v(HM) > v(GM) > v(AM). At higher k values, the rank changes to v(GDM) > v(HM) > v(AM) > v(GM). That is to say, ranking a portfolio using different kinds of means may well give different rankings depending on what k value one is evaluating. It is also shown the harmonic mean should not be used in the case of a small negative growth rate in stock prices.
  • 关键词:Arithmetic Mean;Geometric Mean;Golden Mean;Harmonic Mean;Marko-witz Risk Minimization;Sharpe’s Angle Maximization
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