DocumentCode
2636095
Title
Application of Fuzzy Time Sequence in Stock Prediction
Author
Kaiqi Zou ; Beiyan Li
Author_Institution
Coll. of Inf. Eng., Dalian Univ., Dalian
fYear
2008
fDate
18-20 June 2008
Firstpage
268
Lastpage
268
Abstract
Nowadays, more and more people take part in the stock-market actively, and the stock prediction has been one of the hot topics. Fuzzy time series are used for forecasting price of the stock as the first time in this paper. According to history data of stock price, we could predict the stock price at next time or at multiple moments, it will provide the theoretical basis for buying or selling time reasonable. At first, it introduces the correlation concepts of the fuzzy time sequence in this paper, and then we use the stock price of a listed company each time of one day as case study, and apply the fuzzy time series to predict the stock price. From mathematics view, we forecast the buying and selling time of stock reasonably. It is of great practical significance.
Keywords
fuzzy set theory; pricing; stock markets; time series; buying time; fuzzy time sequence; fuzzy time series; selling time; stock market; stock prediction; stock price forecasting; Educational institutions; Fluctuations; Fuzzy sets; History; Information science; Kernel; Mathematics; Social factors; Statistical analysis; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on
Conference_Location
Dalian, Liaoning
Print_ISBN
978-0-7695-3161-8
Electronic_ISBN
978-0-7695-3161-8
Type
conf
DOI
10.1109/ICICIC.2008.162
Filename
4603457
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