摘要
通过已披露的财务数据选取影响投资价值的指标,经过标准化处理,构造相关系数矩阵,利用主成分分析法,构造主成分,试图确定主成分与投资价值的相关性,再根据各个指标值的变异度,利用熵权系数法,计算各指标的权重,为投资者综合评价各林业上市公司的投资价值提供相应的依据。根据分析,得出吉林森工投资价值最大,景谷林业次之,永安林业最小的结论。
The indicators affecting investment values are selected from disclosed financial data. The correlative coefficients matrix is built by standardized treatment. The indicators are treated and principal components are composed by means of principal component analysis in order to determine the correlation between principal components and investment values. Then according to the variation of different index values, the weight of each indicator is calculated by the method of entropy weight coefficients, so as to offer the basis for investors to comprehensively evaluate the investment values of the listed forestry companies. Finally it is concluded that China Jilin Forest Industry Group Co. Ltd has the highest investment value, followed by Yunnan Jinggu Forestry Co. Ltd, Yong＇an Forestry Co. Ltd the lowest.
出处
《福建农林大学学报（哲学社会科学版）》
2007年第6期53-56,共4页
Journal of Fujian Agriculture and Forestry University(Philosophy and Social Sciences)
基金
福建省科技厅软科学重点项目(2007R0003)
福建农林大学青年教师科研基金项目(07S04)
关键词
林业上市公司
投资价值
主成分分析
熵权系数法
listed forestry company
investment value
principal component analysis
entropy weight coefficient method
