This article examines the asymmetric impacts from positive and negative news reports on the stock prices of “first listings of companies in Taiwan” (F companies) using Support Vector Machine algorithm on the component stocks in the TSEC Taiwan 50 index, and using relevant words to categorize positive and negative news. This article took F companies in 2016 Taiwan stock market as samples and non-F companies as comparison group;the differences are found in F company stock prices when the media reveals messages. The evidence shows on the day of positive news came out, there is positive correlation between the news and F company’s stock prices;but there is no strong evidence to show negative news has struck F company’s stock prices. Besides, there are asymmetric information phenomenon exists between the investors and F companies;when more negative news revealed, the drop of stock prices slowed down, while more positive news reported there has been a surge on the stock prices.
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