期刊文献+

中、外体育用品上市公司盈利能力的特征分析与预测模型构建——基于PLS回归和OPLS-DA方法的分析 被引量:12

Characteristics and Predictive Model of Profitability of Publicly Traded Sporting Companies Home and Abroad —Based on PLS Regression and OPLS-DA
下载PDF
导出
摘要 盈利能力是企业竞争力的核心组成部分,是衡量企业绩效的重要指标。通过搜集和整理16家中、外体育用品上市公司2010年年报中公布的财务数据,运用偏最小二乘回归(PLS回归)和正交偏最小二乘判别分析(OPLS-DA)方法,采用SIMCA-P+12.0软件对数据进行处理,分析16家中、外体育用品上市公司的盈利能力特征,并构建预测模型。研究表明,中、外体育用品上市公司的盈利能力可归结为3种模式,即积极利用财务杠杆多品牌运营的盈利能力模式、财务保守型的盈利能力模式和小规模成长型的盈利能力模式;构建的中、外体育用品上市公司盈利能力的预测模型拟合效果稳健性好,RdX(cum)、RdY(cum)和Q2(cum)值分别为0.793、0.911和0.840;影响中、外体育用品上市公司盈利能力的最主要因素依次为长期负债资产比率、分销及行政费用率、资产负债率、股东权益比率以及固定资产周转率等。 Profitability is a core component of the competitiveness, and also an important indicator for corporate performance. In this study, we collected the fiscal data of yearly reports published in 2010, used the Partial Least-Squares Regression (PLS regression) and Orthogonal Partial Least-Squares Discriminant Analysis (OPLS-DA) which were implemented by the SIMCA-P +-12.0 software for data processing, to look.into the profitability characteristics of the 16 Chinese and foreign sporting goods companies. Furthermore, a PLS regression was con- structed for the prediction of the profitability. The results showed that the profitability can be attributed to three different patterns; they were "High degree financial leverage with multibrand profitability model", "conservative financial profitability model" and "small-scale growth of profitability mode". The predictive model we constructed was tested to be of good robustness (RdX (cttm) ,RdY (cure) and Q2 (cum) were 0. 793,0. 911 and 0. 840,respectively). The main influencing factors of the profitability for the traded sporting goods companies are as follows:assets to a long-term., liabilities ratio, selling and administrative expense ratio, debt ratio, equity ratio and fixed asset turnover.
出处 《体育科学》 CSSCI 北大核心 2012年第10期12-19,共8页 China Sport Science
基金 福建省教育厅A类社科研究项目(JA12122S)
关键词 体育用品上市公司 盈利能力 偏最小二乘回归 正交偏最小二乘判别分析 Publicly traded sporting goods companies profitability PLS regression OPLS- DA
  • 相关文献

参考文献15

二级参考文献97

共引文献237

同被引文献223

引证文献12

二级引证文献122

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部