The application of data mining in the analysis of high underpricing rate of IPO

机译：数据挖掘在高IPO抑价率分析中的应用

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In order to explain the reason of the high underpricing rate of IPO and to judge whether there exists IPO underpricing, combined with China's specific policy system, this paper classified the IPO first-day underpricing or discount and constructed a classifier by using the decision tree modeling under the multiple influence factors. The numbers listed in this article refer to the data of initial public offerings from September 2006 to December 2014 with a sample. On the basis of the conclusion, this paper suggested to strengthen investors reasoningly investing.

机译：为了解释IPO抑价率高的原因并判断是否存在IPO抑价，结合中国的具体政策体系，对IPO的首日抑价或折价进行分类，并运用决策树建模方法进行分类。在多重影响因素下。本文列出的数字是指2006年9月至2014年12月的首次公开募股数据。在此结论的基础上，本文建议加强理性投资者的投资。

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来源
《2016 International Conference on Logistics, Informatics and Service Sciences》|2016年|1-5|共5页
会议地点 Sydney(AU)
作者
Ting Han;
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作者单位

School of Economics and Management, Beijing Jiaotong University, Beijing, China;

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会议组织
原文格式 PDF
正文语种 eng
中图分类
关键词
Decision trees; Data models; Analytical models; Companies; Stock markets; Predictive models; Pricing;

机译：决策树;数据模型;分析模型;公司;股票市场;预测模型;定价;

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The application of data mining in the analysis of high underpricing rate of IPO

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