Knowledge discovery with SOM networks in financial investment strategy

Shu Ching Kuo, Sheng-Tun Li, Yi Chung Cheng, Men Hsieu Ho

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

Recently, the recession of the global economy induces the coming of a new era of low interest-rates, which resulted in the stock market as an alternative investment channel for investors. The diversity and complication of domain knowledge existing in the stock market enhance its importance for developing a decision support system which can gather real-time pricing information for supporting decision-making in financial investment. In this study, we tackle these challenges by proposing an integrated solution on the basis of K-chart analysis and the over-whelming self-organizing map neural networks. We not only endeavor to improve the accuracy of uncovering trading signals, but also to maximize the profits of trading. The resulting decision model can help investment decision-makers of national stable funds make the most profitable decisions. In addition, financial experts can benefit from the ability of verifying or refining their tacit investment knowledge offered by the uncovered knowledge.

Original languageEnglish
Title of host publicationProceedings - HIS'04
Subtitle of host publication4th International Conference on Hybrid Intelligent Systems
EditorsM. Ishikawa, S. Hashimoto, M. Paprzycki, E. Barakova, K. Yoshida, M. Koppen, D.M. Corne, A. Abraham
Pages98-103
Number of pages6
Publication statusPublished - 2005 Dec 9
EventProceedings - HIS'04: 4th International Conference on Hybrid Intelligent Systems - Kitakyushu, Japan
Duration: 2004 Dec 52004 Dec 8

Publication series

NameProceedings - HIS'04: 4th International Conference on Hybrid Intelligent Systems

Other

OtherProceedings - HIS'04: 4th International Conference on Hybrid Intelligent Systems
CountryJapan
CityKitakyushu
Period04-12-0504-12-08

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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