改进灰色关联分析法在教育行业上市公司经营业绩综合评价中的运用
Application of Improved Grey Correlation Analysis Method in Comprehensive Evaluation of Operating Performance of Listed Companies in Education Industry
夏冰 1王磊2
作者信息
- 1. 哈尔滨金融学院 计算机与数学学院,哈尔滨 150030
- 2. 哈尔滨金融学院 管理系,哈尔滨 150030
- 折叠
摘要
对教育行业上市公司的经营业绩进行综合评价,可使投资者与经营者全面掌握公司的经营状况及其在同行业中所处的地位与发展方向,为企业利益相关者投资决策提供参考.在灰色关联分析法的理论基础上,提出改进的灰色关联分析方法,根据财经大数据应用服务平台数据,对教育行业4 家上市公司的经营业绩进行综合评价并给出排序.计算结果显示,经营业绩最好的公司为行业标杆企业,与财经大数据应用服务平台的评价结果一致,说明该方法具有可行性.
Abstract
Comprehensive evaluation of the operating performance of listed companies in the education industry can enable investors and operators to grasp the company's operating level,position and development direction in the same industry,so as to provide reference for the stakeholders of enterprises to make investment decisions.Based on the theoretical basis of grey correlation analysis,the study proposes an improved grey correlation analysis method,comprehensively evaluates and ranks the operating performance of 4 listed companies in the education industry based on the data of the financial big data application service platform.The calculation results show that the company with the best operating performance is the benchmark enterprise in the industry,which is consistent with the evaluation results of the financial big data application service platform,indicating the effectiveness of the method.
关键词
教育行业/上市公司/经营业绩/灰色理论/关联分析Key words
Education industry/Listed company/Operating performance/Grey theory/Correlation analysis引用本文复制引用
基金项目
黑龙江省省属本科高等学校基本科研业务费项目(2023)(2023-KYYWF-E015)
出版年
2024
NETL
NSTL
维普
万方数据