首页> 外文会议>International Conference on Innovative Computing, Information and Control >Multiple Criteria Decision Making and De Novo Programming in Portfolio Selection
【24h】

Multiple Criteria Decision Making and De Novo Programming in Portfolio Selection

机译:产品组合选择中的多个标准决策和DE Novo编程

获取原文

摘要

To cope with the short selling issue, this research proposes four models based on the Mean- variance model (MV-model) which frees one from the limitation of short selling. In the first two models, the number and then the proportion of short selling in the portfolio selection are minimized, respectively. In the third model, return, risk, the number of sold short, and the number of total selected securities are viewed as four criteria to be optimized, which can be considered simultaneously by multiple objective programming. In order to eliminate the trade-off between return and risk, the concept of De Novo programming is applied in the fourth portfolio selection model, which can show the least budget, needed to achieve these two conflicting goals at the same time. An empirical data set is tested to verify these four models. KeywordsMean-variance model, short selling, De Novo programming, multiple criteria decision making
机译:为了应对卖空问题,本研究提出了一种基于平均方差模型(MV模型)的三种模型,其中一个释放了释放短卖出的限制。在前两个模型中,数量然后分别在组合选择中的短销售比例最小化。在第三种模型中,返回,风险,出售的数量短,并且总所选证券的数量被视为待优化的四个标准,可以通过多个客观编程同时考虑。为了消除返回和风险之间的权衡,在第四个投资组合选择模型中应用了De Novo编程的概念,该模型可以呈现最少的预算,需要同时实现这两个冲突的目标。测试经验数据集以验证这四个模型。关键词 - 方差模型,短销售,de novo编程,多标准决策

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号