基于決策樹算法的上市公司股東行為研究
發(fā)布時(shí)間:2018-03-13 18:28
本文選題:統(tǒng)計(jì)分類 切入點(diǎn):股東行為 出處:《數(shù)理統(tǒng)計(jì)與管理》2017年01期 論文類型:期刊論文
【摘要】:本文從生態(tài)學(xué)視角出發(fā),將研究焦點(diǎn)深入到上市公司內(nèi)部的股東層面。通過將上市公司股東進(jìn)行生態(tài)學(xué)的種群劃分,刻畫不同類型股東所處的生態(tài)位,研究分析不同生態(tài)位的股東群體之間的關(guān)系和行為表現(xiàn);趪┌矓(shù)據(jù)庫和CCER數(shù)據(jù)庫2643家上市公司股東2008-2014年四個(gè)季度約60萬條記錄數(shù)據(jù),將決策樹算法用于股東統(tǒng)計(jì)分類和行為分析上,嘗試了一種具有速度快、精確度高的特點(diǎn)的統(tǒng)計(jì)分析方法;通過分析發(fā)現(xiàn)股東持股排名的生態(tài)位維度對(duì)股東增減持行為和程度影響最大,為進(jìn)一步的治理決策提供了依據(jù)。
[Abstract]:From the perspective of ecology, this paper focuses on the shareholders of listed companies. By dividing the shareholders of listed companies into ecological groups, this paper depicts the niche of different types of shareholders. Based on Cathay Pacific database and CCER database, there are about 600,000 records of shareholders in four quarters from 2008 to 2014. The decision tree algorithm is applied to the statistical classification and behavior analysis of shareholders, and a fast and accurate statistical analysis method is tried. Through the analysis, it is found that the niche dimension of shareholder ownership ranking has the greatest influence on the behavior and degree of shareholders' increase and decrease, which provides the basis for further governance decisions.
【作者單位】: 北京工業(yè)大學(xué)經(jīng)管學(xué)院;北京工業(yè)大學(xué)數(shù)理學(xué)院;
【基金】:國家自然科學(xué)基金項(xiàng)目(11372014,11072007) 國家社會(huì)科學(xué)基金重點(diǎn)項(xiàng)目(13AGL003) 教育部人文社科基金項(xiàng)目(10YJA630185) 北京市自然科學(xué)基金項(xiàng)目(1122001)
【分類號(hào)】:F832.51
【參考文獻(xiàn)】
相關(guān)期刊論文 前9條
1 劉亭立;石倩倩;楊松令;;大股東關(guān)系經(jīng)濟(jì)后果實(shí)證研究——基于公司績(jī)效和盈余質(zhì)量的評(píng)價(jià)視角[J];數(shù)理統(tǒng)計(jì)與管理;2016年02期
2 鄭振龍;林t,
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