Making use of dynamic strategies in investment decision of stock.

• Main Authors: Ting-Yu Chang, 張庭毓
• Other Authors: 張應華
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/hsgjv9

碩士 === 淡江大學 === 資訊管理學系碩士班 === 107 === Among all wealth management tools, stock investment is not only widely accepted but also the most familiar tool to people. Unfortunately, however, investors often believe in unreliable and unconfirmed information from newspapers, magazines, and financial analysts to buy and sell stocks. Since the lack of information and the inability to judge the authenticity of the information, investors often end up with investment losses. For general investors, they usually miss the best timing to buy and sell stocks if news such as whether an industry has gone downhill or whether the competitiveness of a certain company has gradually declined can only be heard from news media. Since current investment environment is changing, different conditions are correspond with different investment judgment tools. If one is able to dominate the complex environment and generate new investment strategies at any time, one can gain risk premium. In other words, investors will receive good excess returns by accurately using different investment environment detection tools to determine selection, timing, and capital allocation strategies. This study will use evolutionary strategies to train and test historical data and further obtain a range of strategic variables for selection, timing, and capital allocation. In addition, we will be able to use this evolved optimal variable range as a detection of the next phase of the investment environment. The indicators can be used to determine the right selection, timing, and capital allocation strategies in the current stock market environment and be applied to the stock market investment to help investors to make the right decisions.