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
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;
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
DOI :
10.1109/ETCS.2009.106