Integration of Genetic Algorithm and Fuzzy Theory for the Wealth Management Decision Support Model

• Main Authors: Pei-Fang Li, 李佩芳
• Other Authors: Tsung-Nan Chou
• Format: Others
• Language: zh-TW
• Published: 2006
• Online Access: http://ndltd.ncl.edu.tw/handle/45036658766947876750

碩士 === 朝陽科技大學 === 財務金融系碩士班 === 94 === The wealth management service is one of the most profitable and potential assets for the banking industry and financial world. However, the market of wealth management service of Taiwan is not as blossomy as that of the America. One of the important reasons is that the customer’s banking and investments can not be consolidated through the diversity of service quality offered by the financial planners and investment advisors. The aim of this study is to construct a dedicated decision making model of mutual fund for customized asset arrangement and portfolio management. Techniques including Genetic Algorithm and Fuzzy Theory are integrated into the model to match the financial investor''s requirements. Through the regulative setting, which designed by this model, to help investors to achieve the top target of wealth management. This model offers a high degree of integration with the artificial intelligence techniques; therefore, helping users modify their clients’ portfolios dynamically to achieve the expectable goals. According the wealth management decision support model to simulate ten investors, this model can obtain the annual rate of return between 13.66% and 34.53%. And the average of annual rate of returns 24.22% is three times as TAIEX.