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文章基本信息

  • 标题:Stock Diversification and Integer Programming
  • 本地全文:下载
  • 作者:Sarreal, Emilina R
  • 期刊名称:DLSU Business & Economics Review
  • 印刷版ISSN:0116-7111
  • 出版年度:2009
  • 卷号:18
  • 期号:2
  • 页码:83-96
  • DOI:10.3860/ber.v18i2.794
  • 语种:English
  • 出版社:De La Salle University
  • 摘要:This study shows how investors can maximize returns by preparing and monitoring their own stock portfolio by using an integer programming model with an algorithm that can be computed in spreadsheet and linear programming software. Further, the study emphasizes the importance of diversifying stockholdings to reap optimal returns and minimum volatility/risk. It also suggests employing behavioral portfolio theory where goals/aspirations of investors are combined with their reward-to-volatility profile. Keywords: Portfolio theory, mixed-integer programming, zero-one integer programming, reward-to-volatility ratio
  • 关键词:Economics;Portfolio theory, mixed-integer programming, zero-one integer programming, reward-to-volatility ratio
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