DocumentCode :
3460240
Title :
To Integrate Text Mining and Artificial Neural Network to Forecast Gold Futures Price
Author :
Xu, Guo-Xiang ; Shia, Ben-Chang ; Hsu, Yen-Bin ; Shen, Po-Chih ; Chu, Kuo-Hao
Author_Institution :
Dept. of Stat., ShangHai Univ. of Finance & Econ., Shanghai, China
fYear :
2009
fDate :
June 30 2009-July 2 2009
Firstpage :
1014
Lastpage :
1020
Abstract :
Recently, the gold futures price is under pressure of crude oil and inflation. And its price is always relatively higher, changing fast and difficult to forecast. Therefore, how to forecast the gold futures price is the main topic of this research. This research wants to bring up an artificial neural network model and combined the text mining to demonstrate the model that in some time plots has large scale fluctuation. Hoping this model can forecast the gold futures price from January 2009 to June 2009 to give the investor to make the reference. And compares the forecasting results and time series, the research result shows the artificial neural network model better than the time series model.
Keywords :
data mining; economic forecasting; gold; inflation (monetary); neural nets; pricing; stock markets; text analysis; time series; artificial neural network; gold futures price forecasting; inflation; text mining; time series; Artificial neural networks; Economic forecasting; Electronics industry; Fluctuations; Gold; Petroleum; Predictive models; Statistics; Stock markets; Text mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
New Trends in Information and Service Science, 2009. NISS '09. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-0-7695-3687-3
Type :
conf
DOI :
10.1109/NISS.2009.239
Filename :
5260694
Link To Document :
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