The Early Warning of Financial Crisis in China: Based on the Model of Artificial Neural Network

Author

Kong, Feng ; Wang, Wei

Author_Institution

Sch. of Econ. & Manage., North China Electr. Power Univ., Baoding, China

fYear

2009

fDate

19-20 Dec. 2009

Firstpage

1

Lastpage

4

Abstract

In this paper, using factor analysis to study the sources of China´s financial risk, concluded that the major factor of the financial risks is macroeconomic risk, foreign investment risk, banking risk and the stock market risk; using BP artificial neural network model for the establishment of early warning and training and testing the sample data with it, and then prediction the state of the financial risk in 2008. The results show that as a result of the global financial crisis in 2007, in 2008 the financial situation of our country is poor. In China´s macro-control policy, the economic situation of our country is a little better than other countries.

Keywords

backpropagation; banking; financial management; investment; macroeconomics; neural nets; risk management; stock markets; BP artificial neural network; China; banking risk; factor analysis; financial crisis; financial risk; foreign investment risk; macroeconomic risk; stock market risk; Alarm systems; Artificial neural networks; Crisis management; Economic forecasting; Energy management; Financial management; Macroeconomics; Neural networks; Power generation economics; Predictive models;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-4994-1

Type

conf

DOI

10.1109/ICIECS.2009.5364818

Filename

5364818