苏敬勤

个人信息Personal Information

教授

博士生导师

硕士生导师

任职 : 研究院 院长

性别:男

毕业院校:大连理工大学

学位:博士

所在单位:创新与创业研究所

电子邮箱:jingqin@dlut.edu.cn

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基于MST的辽宁省上市公司风格聚集研究

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发表时间:2010-01-01

发表刊物:大连理工大学学报

所属单位:经济管理学院

期号:6

页面范围:1042-1046

ISSN号:1000-8608

摘要:The popular parameter methods will bring the diversity of results in style investment analysis. Subdominant ultra-metric space is provided with the exactly defined topology sequence. Firstly, based on the correlation coefficient between every two stock prices, Euclidean distance of ultra-metric space is calculated. Secondly, subdominant ultra-metric space of portfolio is constructed based on minimum spanning tree of Kruskal. Finally, index hierarchical structure is mapped from subdominant ultra-metric space. Via daily data of listed companies in Liaoning Province from July, 2005 to December, 2007, industry style, event style, performance style and cash flow style are found in the results. It is shown that method of subdominant ultra-metric space is effective.

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