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