Title :
Research on the capital structure influencing factors applied the data-mining technique: A validating study based on listed companies in China
Author :
Zhao Bing-sheng ; Dai Gui-xia
Author_Institution :
Finance Dept., Changchun Taxation Coll., Changchun
Abstract :
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 corporationspsila capital structures by pointing out the corresponding relationship between the portfolio of corporation characters and different capital structures.
Keywords :
data mining; stock markets; China; capital structure; corporate finance; data mining technique; equity financing; external financing; listed companies; sequence financing; Classification tree analysis; Conference management; Data engineering; Educational institutions; Engineering management; Finance; Financial management; Marine vehicles; Portfolios; Stock markets; capital structure; classify tree induction method; data-mining; market efficiency;
Conference_Titel :
Management Science and Engineering, 2008. ICMSE 2008. 15th Annual Conference Proceedings., International Conference on
Conference_Location :
Long Beach, CA
Print_ISBN :
978-1-4244-2387-3
Electronic_ISBN :
978-1-4244-2388-0
DOI :
10.1109/ICMSE.2008.4668994