标题:
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
作者:
邢友行, 黄辉林
关键字:
大数据, 经营绩效, 财务分析, 因子分析, 实证分析Big Data, Business Performance, Financial Analysis, Factor Analysis, Empirical Analysis
期刊名称:
《Hans Journal of Data Mining》, Vol.7 No.1, 2016-12-22
摘要:
本文通过对我国大数据概念板块上市公司的财务指标进行分析，建立了大数据类上市公司经营绩效财务评价模型。我们运用因子分析，对62家大数据板块上市公司进行分析，从众多变量中提取了盈利能力、偿债能力、成长能力、资本保障收益能力、运营能力等5个指标，并在此基础上计算了我国大数据上市公司综合得分并给出了其排名。最后根据实证分析结果，提出了提升我国大数据行业公司经营绩效的对策与建议。
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 corpora-tions 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.