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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/111998


    Title: TAIEX Forecasting Based on Fuzzy Time Series and Technical Indices Analysis of the Stock Market
    Authors: 陳錫明;Chen, Shyi-ming;王正一;Wang, Cheng-yi
    Date: 2013-06-17
    Issue Date: 2017-11-08 02:10:55 (UTC+8)
    Publisher: Springer-Verlag Berlin, Heidelberg ©2013
    Abstract: This paper presents a new method for forecasting the TAIEX based on fuzzy time series and technical indices analysis of the stock market. Because the proposed method uses both fuzzy time series and technical indices analysis of the stock market to analyze the historical training data in details for forecasting the TAIEX, it can get higher forecasting accuracy rate than the existing methods. The contribution of this paper is that we present a new fuzzy time series forecasting method based on the MACD index, combined with the stochastic line indices (KD indices) to forecast the TAIEX. It gets a higher average forecasting accuracy rate than the existing method for forecasting the TAIEX.
    Relation: Proceedings of the 26th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems
    DOI: 10.1007/978-3-642-38577-3_48
    Appears in Collections:[資訊管理學系暨研究所] 會議論文

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