﻿ 我国大数据概念板块上市公司经营绩效评价 Performance Evaluation of Listed Companies in China’s Big Data Concept Plate

Hans Journal of Data Mining
Vol.07 No.01(2017), Article ID:19318,10 pages
10.12677/HJDM.2017.71002

Performance Evaluation of Listed Companies in China’s Big Data Concept Plate

Youhang Xing, Huilin Huang

School of Mathematics and Information Science, Wenzhou University, Wenzhou Zhejiang

Received: Nov. 15th, 2016; accepted: Dec. 19th, 2016; published: Dec. 22nd, 2016

ABSTRACT

This thesis, through the analysis of the financial indicators of listed companies in China's big data concept plate, establishes financial evaluation model of business performance for listed corporations of big data concept plate. We select 62 companies as our samples. By using the method of factor analysis, we not only extract 5 factors such as the profitability, solvency and growth, capital guarantee profitability, operation ability from many variables, but also compute the factor score of every sample company and rank them at the same time. Finally, based on the results of empirical analysis, we put forward countermeasures and suggestions of improving the operating performance of the companies of the big data industry in China.

Keywords:Big Data, Business Performance, Financial Analysis, Factor Analysis, Empirical Analysis

1. 引言

2. 样本的选择和数据处理

3. 基于因子分析的我国大数据上市公司经营绩效评价过程

3.1. 因子分析数学模型

Table 1. Names of indexes and equations

3.2. 因子分析判断检验

3.3. 主成分的确定

Table 2. KMO test and Bartlett test

Table 3. Eigenvalues and contribution of principal components

Figure 1. Figure of factor load after rotation

3.4. 计算综合得分及排名

3.5. 结论与分析

1) 从盈利能力分析

Table 6. Factor scores and rankings

2) 从偿债能力分析

3) 从成长能力分析

4) 从经营能力分析

5) 从资金保障盈利能力分析

4. 结束语

Performance Evaluation of Listed Companies in China’s Big Data Concept Plate[J]. 数据挖掘, 2017, 07(01): 16-25. http://dx.doi.org/10.12677/HJDM.2017.71002

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