DocumentCode :
167497
Title :
Data mining: The investment value analysis on China´s bank stocks based on residual income model
Author :
Zaiqiang Huo
Author_Institution :
Econ. Sch., Beijing Wuzi Univ., Beijing, China
fYear :
2014
fDate :
8-9 May 2014
Firstpage :
326
Lastpage :
329
Abstract :
This paper is to evaluate the investment value of China´s bank stocks based on Olson´s residual income model. This analysis is intended for providing experience evidence for making rational investment decisions in China´s bank stocks. The experience analysis results show that the investment value of stocks of China´s listed companies in finance and insurance sector remained relatively stable, while there were frequent sharp fluctuations in the stock price, which deviated hugely from its investment value. What´s more, there were more bubbles in the market. But in the long run, short-term bank stocks market bubble will eventually burst. Most of time, China´s bank stocks market is characterized by rational bubbles, the rest of time by rational bubbles.
Keywords :
data mining; decision making; financial data processing; insurance; investment; share prices; stock markets; China; Olson´s residual income model; data mining; finance sector; insurance sector; investment value analysis; investment value evaluation; rational bubbles; rational investment decision making; short-term bank stocks market bubble; stock price; Banking; Finance; Insurance; Nickel; Security; bank stocks bubble; investment value; residual income model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics, Computer and Applications, 2014 IEEE Workshop on
Conference_Location :
Ottawa, ON
Type :
conf
DOI :
10.1109/IWECA.2014.6845622
Filename :
6845622
Link To Document :
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