DocumentCode
1566550
Title
Predictability of Shanghai Stock Market by Agent-based Mix-game Model
Author
Gou, Chengling
Author_Institution
Dept. of Phys., Beijing Univ. of Aeronaut. & Astronautics
Volume
3
fYear
2005
Firstpage
1651
Lastpage
1655
Abstract
This paper reports the effort of using agent-based mix-game model to predict financial time series. It introduces simple generic algorithm into the prediction methodology and gives an example of its application to forecasting Shanghai Index. The results show that this prediction methodology is effective and agent-based mix-game model is a potential good model to predict time series of financial markets
Keywords
game theory; multi-agent systems; stock markets; time series; Shanghai stock market; agent-based mix-game model; financial time series; generic algorithm; prediction methodology; Collaboration; Economic forecasting; Laboratories; Physics; Prediction algorithms; Predictive models; Stock markets;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-9422-4
Type
conf
DOI
10.1109/ICNNB.2005.1614947
Filename
1614947
Link To Document