Research on the Capital Structure Influencing Factors Applied the Data-mining Technique: A Validating Study Based on Listed Companies in China

被引:0
|
作者
Zhao Bing-sheng [1 ]
Dai Gui-xia [1 ]
机构
[1] Changchun Taxat Coll, Dept Finance, Changchun 130117, Peoples R China
关键词
data-mining; classify tree induction method; capital structure; market efficiency;
D O I
10.1109/ICMSE.2008.4668994
中图分类号
F [经济];
学科分类号
02 ;
摘要
Capital structure is one of the most basic and important research fields in the theory of corporate finance. Most of western corporations keep to the theory of sequence financing made by Myers and make debts as their priority in external financing considering it can enhance the corporate value. In China, however, the strong preference of equity financing and low debt rate. is diametrically opposed to the theory of capital structure and financing sequence. This paper validates the applicability of the theory of capital structure in China by applying the data-mining technique. It is committed to optimizing Chinese corporations' capital structures by pointing out the corresponding relationship between the portfolio of corporation characters and different capital structures.
引用
收藏
页码:733 / 740
页数:8
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