计算机与现代化 ›› 2013, Vol. 1 ›› Issue (2): 177-180.doi: 10.3969/j.issn.1006-2475.2013.02.044

• 应用与开发 • 上一篇    下一篇

基于数据挖掘的上市公司绩效评价研究

范 瑜,宋宇翔   

  1. 广东培正学院,广东广州510830
  • 收稿日期:2012-10-24 修回日期:1900-01-01 出版日期:2013-02-27 发布日期:2013-02-27

Study on Performance Evaluation of Listed Companies in China Based on Data Mining

FAN Yu, SONG Yu-xiang   

  1. Guangdong Peizheng College, Guangzhou 510830, China
  • Received:2012-10-24 Revised:1900-01-01 Online:2013-02-27 Published:2013-02-27

摘要: 以2006-2011年我国A股10331个观察样本为研究对象,分别从盈利能力、偿债能力、成长能力和运营能力4个方面反映企业绩效,采用数据挖掘技术构建上市公司绩效评价模型。在对我国上市公司绩效的发展现状分析时发现,我国上市公司绩效呈现了N型的趋势。本研究丰富了上市公司绩效评价方法,拓展了上市公司绩效研究的外延,分析了我国上市公司绩效的现状,希望能对后续研究有所启示。

关键词: 数据挖掘, 绩效, 评价模型

Abstract: The article studies with 10331 observed samples in A-shares during 2006-2011, from the profit ability, the debt paying ability, the growth ability and the operation ability which reflect the enterprise performance. This paper uses data mining techniques to establish the evaluation model of listing corporation performance. After analysis of the current development situation of listing corporation performance in China, it is found that China listing corporation performance appears N trend. The article enriches the evaluation method of listing corporation performance, expands the performance study of listing corporation, and analyzes the current situation of performance of listing corporation in China. The author hopes that can help on the follow studying.

Key words: data mining, performance, evaluation models