Title
The Case Study of Adaptive Network-Based Fuzzy Inference System Modeling for TAIEX Prediction
Abstract
The purpose of this research is to investigate the relation between international stock markets and Taiwan's stock market, and use the statistical method to identify international markets of high correlation with Taiwan's stock market as the input parameters of the ANFIS (Adaptive Network-based Fuzzy Inference System) model to improve the forecasting accuracy. This paper collects dataset in the period of years 2000~2010 from 13 countries including Japan, Singapore, Malaysia of high correlation with Taiwan. to prove the forecasting effectiveness of the model, this paper compares the proposed model with models proposed in other studies. the experimental results suggest that, the total average RMSE of the proposed model is lower as compared with other models. the contribution of this research is to integrate the statistical method and ANFIS model to effectively enhance the forecasting accuracy for TAIEX stock price prediction.
Year
DOI
Venue
2012
10.1109/ICGEC.2012.141
ICGEC
Keywords
Field
DocType
taiex stock price prediction,taiwan stock market,stock price prediction,fuzzy set theory,fuzzy reasoning,total average rmse,forecasting accuracy,international markets,adaptive network-based fuzzy inference system modeling,forecasting theory,fuzzy sets,stock market,system modeling,statistical analysis,international market,anfis model,neural networks,international stock markets,case study,high correlation,taiex prediction,stock markets,forecasting effectiveness,adaptive network-based fuzzy inference,international stock market,adaptive network-based fuzzy inference system,statistical method
Econometrics,Data mining,Stock price,Computer science,Mean squared error,Fuzzy set,Adaptive neuro fuzzy inference system,Artificial neural network,Stock market,Statistical analysis,Fuzzy inference system
Conference
ISSN
ISBN
Citations 
1949-4653
978-1-4673-2138-9
1
PageRank 
References 
Authors
0.36
5
4
Name
Order
Citations
PageRank
Min-hsuan Fan1173.41
Mu-Yen Chen215919.88
Hui-feng Huang325622.11
Tai-Ying Huang4120.92