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Frequency-Weighted Fuzzy Time-Series Based on Fibonacci Sequence for TAIEX Forecasting

  • Hia Jong Teoh
  • Tai-Liang Chen
  • Ching-Hsue Cheng
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4819)

Abstract

This paper proposes a new fuzzy time-series model for promoting the stock price forecasting, which provides two refined approaches, a frequency-weighted method, and the concept of Fibonacci sequence in forecasting processes. In empirical analysis, two different types of financial datasets, TAIEX (Taiwan Stock Exchange Capitalization Weighted Stock Index) stock index and HSI (Hong Kong Heng Seng Index) stock index are used as model verification. By comparing the forecasting results with those derived from Chen’s, Yu’s, and Hurang’s models, the authors conclude that the research goal has been reached.

Keywords

Fuzzy Time-series Stock Price Forecasting Fibonacci Sequence Fuzzy Linguistic Variable 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Hia Jong Teoh
    • 1
    • 2
  • Tai-Liang Chen
    • 1
  • Ching-Hsue Cheng
    • 1
  1. 1.Department of Information Management, National Yunlin University of Science and Technology, 123, section 3, University Road, Touliu, Yunlin 640, TaiwanR.O.C.
  2. 2.Department of Accounting Information, Ling Tung University, 1, Ling Tung Road, Nantun, Taichung 408, TaiwanR.O.C.

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