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 :
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