DocumentCode :
2306487
Title :
Application of E-Bayes Method in Stock Forecast
Author :
Cai, Guoliang ; Xu, Weiqing ; Zhang, Wenli ; Wang, Peipei
Author_Institution :
Nonlinear Sci. Res. Center, Jiangsu Univ., Zhenjiang, China
fYear :
2011
fDate :
25-27 April 2011
Firstpage :
504
Lastpage :
506
Abstract :
In this paper, case of E-Bayes method to forecast investment is given. Data are grouped, and the probability of samples that does not drop into the state is assumed. An increasing function to establish the forecast model for investment is constructed. Finally, calculations are carried out according to the practical problems, and result shows that the E-Bayes method is feasible and easy to operate.
Keywords :
Bayes methods; forecasting theory; investment; probability; stock markets; E-Bayes method; investment; probability; stock forecast; Bayesian methods; Density functional theory; Estimation; Investments; Security; Stock markets; E-Bayes estimation; Stock price projections; increasing function; state probability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Computing (ICIC), 2011 Fourth International Conference on
Conference_Location :
Phuket Island
Print_ISBN :
978-1-61284-688-0
Type :
conf
DOI :
10.1109/ICIC.2011.40
Filename :
5954615
Link To Document :
بازگشت