DocumentCode
2167655
Title
The Research on Influencing Factors of Dividend Policy Based on Data-Mining Technique: A Validating Study Based on Listed Companies in China
Author
Zhao, Bingsheng
Author_Institution
Dept. of Finance, Changchun Taxation Coll., Changchun, China
fYear
2010
fDate
24-26 Aug. 2010
Firstpage
1
Lastpage
4
Abstract
The dividend payable of Chinese enterprises has the feature of randomness and volatility, resulting in a discontinuous dividend policy. However, this is inconsistent with Western dividend policy and entrepreneurial practice. This article will analyze the factors which impact the dividend policies, with the data mining method, to understand the relationship between the combinations of different enterprises´ features and different dividend payable policies; so that the company could choose the optimal dividend policy as well as the investors could set up the most profitable portfolio.
Keywords
data mining; financial data processing; profitability; data mining; discontinuous dividend policy; dividend payable policy; entrepreneurial practice; profitable portfolio; Companies; Data mining; Decision trees; Finance; Industries; Investments; Publishing;
fLanguage
English
Publisher
ieee
Conference_Titel
Management and Service Science (MASS), 2010 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-5325-2
Electronic_ISBN
978-1-4244-5326-9
Type
conf
DOI
10.1109/ICMSS.2010.5576960
Filename
5576960
Link To Document