Frequency-Weighted Fuzzy Time-Series Based on Fibonacci Sequence for TAIEX Forecasting
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.
KeywordsFuzzy Time-series Stock Price Forecasting Fibonacci Sequence Fuzzy Linguistic Variable
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- 5.Chen, S.M., Hsu, C.C.: A New Method to Forecast Enrollments Using Fuzzy Time Series. Applied Science and Eng. 2, 234–244 (2004)Google Scholar
- 13.Fischer, R.: The New Fibonacci Trader: Tools and Strategies for Trading Success. John Wiley & Sons, New York (2001)Google Scholar
- 14.Collins, C.J., Frost, A.J., Robert Jr., R.: Prechter: Elliott Wave Principle: Key to Market Behavior. John Wiley & Sons, New York (2003)Google Scholar
- 15.Jordan, K.: An Introduction to the Elliott Wave Principle. Alchemist 40, 12–14 (2004)Google Scholar