Evolutionary Stock Valuation Model Based on Nonlinear Capital Allocation

• Main Authors: YuRen Tain, 田育任
• Other Authors: Ping-Chen Lin
• Format: Others
• Language: zh-TW
• Published: 2007
• Online Access: http://ndltd.ncl.edu.tw/handle/17306261426087692082

碩士 === 國立高雄應用科技大學 === 資訊管理研究所碩士班 === 95 === The financial market in Taiwan has been producing new financial goods that are available to investors’ needs in recent years. Furthermore, Technology Index and Arbitrage Model are also developed for various financial goods by academics and practitioners. However, all of the models show commerce critical only and do not figure out investment weights. For this reason, most investors can not get acquainted with market situation to tackle the correct asset allocation resulted in investment capital loss as traditional arbitrage model used. The problem of more remaining cash occur higher idle cash flow in stock market; whereas less remaining cash occur a capital deficiency as buying critical appear. Therefore, this paper uses Genetic Algorithms (GA) to calculate the best interval index with Cubic Spline to form the best stock price interval assets allocation curve (BSPIAAC) that is involved in each point connected. The purpose of paper is to make an assets allocation effectively which is available to investors and simultaneously solve idle cash or shortage. According to the result of this research, the model shows the more excellent returns than Taiwan Stock Exchange (TSE). And, one can be use to get extra benefit and make the investment strategy