DocumentCode
493483
Title
The Unascertained Measure Model of the Synthetic Evaluation on the Stock Market´s Characteristics
Author
Baosen, Wang ; Xiangwei, Wang ; Ting, Zhao ; Qiuying, Li
Author_Institution
Sch. of Econ. & Manage., Hebei Univ. of Eng., Handan
Volume
1
fYear
2009
fDate
7-8 March 2009
Firstpage
436
Lastpage
440
Abstract
This paper sets up an unascertained measure model of synthetic evaluating on the stock market´s characteristics, and applies it to evaluate the present characteristics of the stock market in China. This model is supposed to be strict in theory. The measure function is meticulously constructed. According to sequence in dividing the evaluating space, the rule of the incredible recognition is introduced. The evaluating result is reasonable. It is the practical model for synthetic evaluating on the stock market. The purpose is to provide quantitative point of view on the stock market to predict. Simplex technical index measure was used would be misleading to investors, the technical indicators should be used with each other. Only a number of technical indexes are applied could comprehensively reflect the characteristics of the stock market. Only investors who have a comprehensive understanding of the stock market´s characteristics will be able to make more accurate investment decisions.
Keywords
investment; stock markets; China; investor; simplex technical index measure; stock market characteristics; synthetic evaluation; unascertained measure model; Civil engineering; Computer science; Computer science education; Economic forecasting; Educational technology; Engineering management; Libraries; Stock markets; Technology management; Time measurement; evaluation; the stock market´s characteristics; unascertained;
fLanguage
English
Publisher
ieee
Conference_Titel
Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on
Conference_Location
Wuhan, Hubei
Print_ISBN
978-1-4244-3581-4
Type
conf
DOI
10.1109/ETCS.2009.106
Filename
4958809
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