| 基于BP神经网络的上市公司CEO报酬实证研究 |
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| 引用本文： | 郭玲玲.基于BP神经网络的上市公司CEO报酬实证研究[J].管理评论,2011(10). |
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| 作者姓名： | 郭玲玲 |
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| 作者单位： | 华北水利水电学院管理与经济学院; |
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| 基金项目： | 国家自然科学基金项目(70671058); 华北水利水电学院高层次人才科研启动项目(201009) |
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| 摘 要： | 近年来的研究表明,CEO报酬不仅受公司业绩的影响,还受到其他诸多因素的影响,而且,CEO报酬与其决定因素之间往往存在着非线性关系。本文以2003-2005年沪深股市的A股上市公司为样本,采用BP神经网络对CEO总报酬、CEO年薪、CEO持股价值及其决定因素分别进行训练和学习,结果表明:(1)网络训练输出值与实际值的拟合度分别达到91.09%、97.23%和78.44%;(2)网络的预测能力相对于传统的线性回归模型分别提高了92.72%、92.08%和53.89%。因此,本文认为在分析和确定CEO报酬水平时引入神经网络模型是可行的。
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| 关 键 词： | CEO报酬 年薪 持股价值 BP神经网络 |
The Neutral Network Analysis of CEO Compensation in Listed Companies |
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| Guo Lingling.The Neutral Network Analysis of CEO Compensation in Listed Companies[J].Management Review,2011(10). |
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| Authors: | Guo Lingling |
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| Institution: | Guo Lingling(North China University of Water Conservancy and Electric Power,Zhengzhou 450046) |
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| Abstract: | Recently,many researches suggest that CEO compensation is related not merely to performance,but also to many other factors and this relation is often non-linear.This paper analyzes CEO compensation,wage and stock value with BP neutral network with the data from listed companies during 2003-2005.The results are:(1)The fitness of network outputs are 91.09%,97.23% and 78.44% respectively;(2)The accuracy of forecast improves 92.72%,92.08% and 53.89% respectively. |
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| Keywords: | CEO compensation CEO wage CEO stock value BP neutral network |
| 本文献已被 CNKI 等数据库收录！ |
