The study of returns of Ex-right and Ex-dividend through rough set analysis and ant based clustering on Optoelectronics industry and network communication of stock companys

• Main Authors: CHEN,YEN-KUANG, 陳彦光
• Other Authors: WAN,SHIUAN
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/9ea947

碩士 === 嶺東科技大學 === 高階主管企管碩士在職專班 === 104 === The long-term investors have a basic question arise in there mind: which kind of financial attributes influence the return of ex-dividend effectiveness? The financial structure, ex-dividend rate, major ratio of inventory and stock price are often the important factors affecting stock ex-dividend. In this study, a communication network and photoelectric industry companies are used for the analysis to understand the return of ex-dividend. There are 50 datasets with 11 financial and stock-price related attributes employed in this study. The study period is June 2014 to June 2015. Then, the Rough Set will used as an attribute extraction tools were cut and ant-based clustering analysis to understand the major influence factors and the aggregation condition. There are four different cases are designed as: (a)the half year period with original data stock ex-dividend (b)the half year period with extraction data stock ex-dividend (c) the a whole year period with original data stock ex-dividend(d) the a whole year period with extraction data stock ex-dividend. The outcomes are made for understanding the relations on financial attribute and return of ex-dividend.