An In-depth exploration about influence of Taiwan’s three food safety events’news on stock return through text mining technique.

• Main Authors: Pei-Yu Ho, 何珮瑜
• Other Authors: Jon-Chi Shyu
• Format: Others
• Language: zh-TW
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/01834775610082005703

碩士 === 國立臺灣科技大學 === 企業管理系 === 103 === This study focuses on the relationship between news and the stock return of certain firms. The news content was classified by text mining program into five categories: firm, government, journalist, public opinion and trade rival. I used panel data and the event study method to analyze the effect of Taiwan’s three oil events on stock return. The result shows that, it's the trade rival news that has the most influence on stock return; however, it's determined by the overall environment and context. If the news is positive, it has positive effect on the stock return, while if the news is negative, it's more likely for the stock return to go downward.