An Investment Strategy of Applying Neuro-Fuzzy into Stock Selection

碩士 === 國立彰化師範大學 === 商業教育學系 === 92 === The purpose of this study was to construct a Neuro-fuzzy System to forecast the rate of return on investment via fundamental variables as well as technical indexes. The research period for this study was from January 1997 to December 2003. The sample of thirty-o...

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Bibliographic Details
Main Author: 許佳峯
Other Authors: 陳信憲
Format: Others
Language:zh-TW
Published: 2004
Online Access:http://ndltd.ncl.edu.tw/handle/25258976597865141319
Description
Summary:碩士 === 國立彰化師範大學 === 商業教育學系 === 92 === The purpose of this study was to construct a Neuro-fuzzy System to forecast the rate of return on investment via fundamental variables as well as technical indexes. The research period for this study was from January 1997 to December 2003. The sample of thirty-one stocks was selected from eleven industries in Taiwan. The following results have been concluded from the empirical study. First, there is a significant positive relationship between predicted rate of return by Neuro-fuzzy System and actual rate of return. In other words, Neuro-fuzzy System has a well and precise effect while predicting the rate of return. Second, the rate of return that proposed by Neuro-fuzzy System is significantly better than that of buy-and-hold strategy or technical index method. Third, the test value of profit factor analysis is grater than one and that means this system has a stable and profit-gain ability.