摘要
将多元统计的理论与方法应用于上市企业的价值分析中,提出了一种上市企业综合价值分析模型,通过因子-聚类分析模型对福建省创业板企业的市场和财务指标数据进行了综合分析.由于各指标之间存在一定的关联性,为了减少信息重叠的影响,利用因子分析模型从14个指标(包括五个行情指标以及九个基本面指标)中提取合适的公因子进行研究,进而利用K-means聚类算法对经过因子指标量化后的数据进行聚类簇的划分,最终根据聚类结果将选取的上市公司价值进行划分.实证研究结果可以为市场投资者在交易时提供指导性的建议,有助于投资者全面了解目标投资企业的内在价值.
The theory and method of multivariate statistics are applied to the value analysis of listed enterprises,and a comprehensive value analysis model is proposed.Through the factor-cluster analysis model,the market and financial index data of Fujian GEM enterprises are comprehensively analyzed.Due to the relevance of various indicators,in order to reduce the impact of information overlap,the factor analysis model is used to extract appropriate common factors from 14 indicators(including five market indicators and nine fundamental indicators)for research,then the K-means clustering algorithm is used to classify the data after the quantification of factor indicators.Finally,the value of selected listed companies is divided according to the clustering results.The empirical results can provide guidance for investors in the market when trading,and help them fully understand the intrinsic value of the target investment enterprise.
作者
陈媛媛
李翠霞
CHEN Yuanyuan;LI Cuixia(Department of Public Infrastructure,Fuzhou Technology and Business University,Fuzhou 350000,China;School of Mathematics and Statistics,Xuzhou University of Technology,Xuzhou 221111,China)
出处
《高师理科学刊》
2024年第3期29-35,共7页
Journal of Science of Teachers＇College and University
基金
江苏高校“青蓝工程”项目(2021年)。
关键词
上市企业
价值分析
因子-聚类分析
福建省
listed enterprises
value analysis
factor-cluster analysis
Fujian Province
