摘要
企业经济效益分析的传统方法有:比较分析法、比率分析法、趋势分析法、比重分析法、因素分析法等,这些方法的缺点是不精确,也不能反映财务指标间的内在联系,也不太适合投资者在投资决策时使用.本文运用主成分分析法对中国电力、钢铁、煤炭行业的经济效益进行了分析,按综合经济效益进行了排序,其计算结果与市场实际表现完全一致.这种分析方法计算简单,意义明确,可为投资者的投资决策提供有效的参考,具有很强的实际意义.
Traditional methods for analyzing an enterprise＇s economical achievements, such as financial ratio analysis, trends analysis and factor analysis, are imprecise, cannot reflect the inherence relation of the financial index, and do not meet investor decision-making needs. Here, the economical achievements of Chinese steel, electric, and coal companies were evaluated by the method of principal components analysis （PCA）. Based on comprehensive economical achievements, a ranking was made of the companies, agreeable with the market facts. This kind of analysis method is easy to compute and accurate, making it useful for shareholders to analyze stock market changes and make investment decisions.
出处
《哈尔滨工程大学学报》
EI
CAS
CSCD
北大核心
2005年第5期693-696,共4页
Journal of Harbin Engineering University
基金
哈尔滨工程大学基金资助项目(HEU04022)
关键词
主成分
相关矩阵
特征值
效益分析
股票交易
principal components analysis （PCA）
relative matrix
eigenvalue
achievements analysis
stock exchange
