| Summary: | 碩士 === 國立虎尾科技大學 === 資訊管理研究所在職專班 === 98 === The aim of this research is to measure the level of investment risk to choose the subject and get higher investment returns by using the statically analysis approach. In this thesis, the above factors compose the several corporate governance variables and the risk of stock returns so that the corporate governance and stock returns are considered and used for assessing the investment risk for investors. Based on the proposed approach the investors may reduce the investment risk to an acceptable risk level so as to minimize the possible risks and possible loss in terms of maximizing the profits.
According to the experience in practices, the listed companies with better corporate governance are also with better stock performance too. Moreover, the companies with better performance always have lower risk of stock returns for the investors. In this study, we applied K-Means clustering analysis for finding the relationship between stock revenue risk and corporate governance variables. The clustering technique and regression analysis are applied respectively. Clustering technique is to distinguish the listed companies with high risk or low risk to the stock returns and K-Means cluster analysis has been used. While the two clusters of companies are clarified, the two groups are analyzed by using regression approach individually. To understand the relation between stock revenue risk and corporate governance and choose best clustering results as a reference for the level of risk classification could be the reference for future research.
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