Title :
A Method of Determining the Secondary Exponential Smoothing Parameter Based on OWA
Author :
Hao, Fei ; Pei, Zheng
Author_Institution :
Sch. of Math. & Comput. Eng., Xihua Univ., Sichuan
fDate :
Oct. 18 2006-Sept. 20 2006
Abstract :
To predict the stock closing price, the method of the secondary exponential smoothing model (SESM) is used to a trend prediction. In order to determine smoothing parameter, ordered weighted aggregation (OWA) is considered and optimal model of OL is proposed. To obtain the weights of OWA, historical error and prediction error of SESM are defined. Our method is applied to San Jing drugs stock closing price forecast
Keywords :
forecasting theory; pharmaceutical industry; pricing; smoothing methods; OWA; San Jing drugs stock closing price forecast; ordered weighted aggregation; secondary exponential smoothing parameter; Decision making; Drugs; Economic forecasting; Electronic mail; Mathematical model; Mathematics; Open wireless architecture; Predictive models; Smoothing methods; Stock markets;
Conference_Titel :
Communications and Information Technologies, 2006. ISCIT '06. International Symposium on
Conference_Location :
Bangkok
Print_ISBN :
0-7803-9741-X
Electronic_ISBN :
0-7803-9741-X
DOI :
10.1109/ISCIT.2006.339988
