원문정보
보안공학연구지원센터(IJDTA)
International Journal of Database Theory and Application
Vol.6 No.2
2013.04
pp.51-60
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
A new approach is proposed according to values analysis to forecast the stock price through fuzzy clustering method. Firstly, some common hypothesis are brought forward in order to establish a frame of value analysis for stock forecasting, then, the algorithm of fuzzy clustering is introduced to judge the relative value of stocks as the rule of forecasting stock price under value analysis, and at last, a case choosing ten telecommunication companies is analyzed to prove the key points of view of this paper. The results of paper are useful for further research on value investment and wise decision-making in practice.
목차
Abstract
1. Introduction
2. The frame of value analysis for stock forecasting
3. The algorithm of fuzzy clustering
4. The Case Analysis
5. Conclusion
Acknowledgments
References
1. Introduction
2. The frame of value analysis for stock forecasting
3. The algorithm of fuzzy clustering
4. The Case Analysis
5. Conclusion
Acknowledgments
References
저자정보
참고문헌
자료제공 : 네이버학술정보