• DocumentCode
    3123039
  • Title

    Fuzzy rule-based stock trading system

  • Author

    Yeh, I-cheng ; Lien, Che-hui

  • Author_Institution
    Department of Information Management, Chung-Hua University, Hsin Chu 30067, Taiwan
  • fYear
    2011
  • fDate
    27-30 June 2011
  • Firstpage
    2066
  • Lastpage
    2072
  • Abstract
    Our study investigates the generalization capability of fuzzy rule-based trading systems and conducted an empirical study on Taiwan´s stock market during 1991/1/1–2010/12/31. The empirical conclusions are as follows (1) The investment performance in the training period is much better than that in the testing period, which exhibits over-learning. (2) The symmetry rules approach demonstrates that the pure price trend trading system is better than the pure volume trend trading system and hybrid price-volume trend trading system. The pure volume trend trading system is the poorest system. (3) The asymmetry rules approach demonstrates that the trading system optimized in one period may be performed poorer in another period. The pure price trend buy-rule combined with the pure volume trend sell-rule has good performance in 1991–2000 but acts poorly in 2001–2010.
  • Keywords
    Decision making; Investments; Response surface methodology; Shape; Stock markets; Testing; Training; fuzzy rule; market timing; moving average; over-learning; stock market;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems (FUZZ), 2011 IEEE International Conference on
  • Conference_Location
    Taipei, Taiwan
  • ISSN
    1098-7584
  • Print_ISBN
    978-1-4244-7315-1
  • Electronic_ISBN
    1098-7584
  • Type

    conf

  • DOI
    10.1109/FUZZY.2011.6007632
  • Filename
    6007632