• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Advances in finance amp; accounting >Company Performance Measurement with Use of Genetic Algorithm
【24h】

Company Performance Measurement with Use of Genetic Algorithm

机译：基于遗传算法的公司绩效测度

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This paper deals with measurement of company performance. Different methods may be used for measuring of performance of companies. In this article, the authors pay attention to the use of value-based methods in the measuring of performance, like the economic value added concept (EVA); and the traditional measuring of performance and management of companies with the use of financial analysis indicators. This traditional approach is preferred by managers, while the use of EVA is often restrained due to a lack of input information or difficulties in calculation, In the course of research, the authors inquire into a question whether a relationship between the value of EVA and the selected indicators of traditional financial analysis may be found. In order to prove that, the authors employ genetic algorithms for clustering into different groups of performance and they embark on testing of linear dependence. They show that, to a certain degree of probability, this relationship may be proved with selected parameters. Outcomes of this research may be used for performance evaluation in the business practice. Conclusions of this research also may be exploited in the construction of creditworthiness and bankruptcy prediction models.
机译：本文涉及对公司绩效的衡量。可以使用不同的方法来衡量公司的绩效。在本文中，作者关注基于价值的方法来衡量绩效，例如经济增值概念（EVA）；以及使用财务分析指标来衡量公司绩效和管理的传统方法。管理者倾向于使用这种传统方法，而由于缺乏输入信息或计算困难，常常会限制EVA的使用。在研究过程中，作者提出了一个问题，即EVA的价值与资产的价值之间是否存在关系。可以找到传统财务分析的选定指标。为了证明这一点，作者采用遗传算法将其聚类为不同的性能组，并着手测试线性相关性。他们表明，在一定的概率下，可以通过选择的参数证明这种关系。这项研究的结果可用于业务实践中的绩效评估。该研究的结论也可用于信用度和破产预测模型的构建。

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