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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yeh, I-Cheng Lien, Che-hui |
| Copyright Year | 2011 |
| Description | Author affiliation: Department of Information Management, Chung-Hua University, Hsin Chu 30067, Taiwan (Yeh, I-Cheng) || Department of Management, Thompson Rivers University, Kamloops, BC, Canada (Lien, Che-hui) |
| 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. |
| Starting Page | 2066 |
| Ending Page | 2072 |
| File Size | 780865 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781424473151 |
| ISSN | 10987584 |
| e-ISBN | 9781424473175 |
| e-ISBN | 9781424473168 |
| DOI | 10.1109/FUZZY.2011.6007632 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-06-27 |
| Publisher Place | Taiwan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Testing Training Stock markets Decision making Investments Shape Response surface methodology over-learning fuzzy rule market timing stock market moving average |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Artificial Intelligence Theoretical Computer Science Software |
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