@article{(Open Science Index):https://publications.waset.org/pdf/467,
	  title     = {Using Data Mining Methodology to Build the Predictive Model of Gold Passbook Price},
	  author    = {Chien-Hui Yang and  Che-Yang Lin and  Ya-Chen Hsu},
	  country	= {},
	  institution	= {},
	  abstract     = {Gold passbook is an investing tool that is especially
suitable for investors to do small investment in the solid gold. The gold
passbook has the lower risk than other ways investing in gold, but its
price is still affected by gold price. However, there are many factors
can cause influences on gold price. Therefore, building a model to
predict the price of gold passbook can both reduce the risk of
investment and increase the benefits. This study investigates the
important factors that influence the gold passbook price, and utilize
the Group Method of Data Handling (GMDH) to build the predictive
model. This method can not only obtain the significant variables but
also perform well in prediction. Finally, the significant variables of
gold passbook price, which can be predicted by GMDH, are US dollar
exchange rate, international petroleum price, unemployment rate,
whole sale price index, rediscount rate, foreign exchange reserves,
misery index, prosperity coincident index and industrial index.},
	    journal   = {International Journal of Economics and Management Engineering},
	  volume    = {5},
	  number    = {2},
	  year      = {2011},
	  pages     = {146 - 148},
	  ee        = {https://publications.waset.org/pdf/467},
	  url   	= {https://publications.waset.org/vol/50},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 50, 2011},
	}