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논문검색

Stock Price Forecasting under Fuzzy Value Clustering Analysis

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

저자정보

  • Jianfeng Li Management Science and Engineering, Transportation Management College, Dalian Maritime University
  • Jun Zhai Management Science and Engineering, Transportation Management College, Dalian Maritime University
  • Junfeng Guo Management Science and Engineering, Transportation Management College, Dalian Maritime University

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