| Summary: | 碩士 === 國立臺灣大學 === 新聞研究所 === 106 === In recent decades, many researchers from different background, such as finance, data science and communication, have focused on finding the proof of financial news influence on stock market. However, most of them just concentrated on relationship between news from traditional media (newspaper, magazines, TV program, etc.) and daily stock price fluctuations. Only few researches tried to analyze reports from Taiwanese online media and intraday stock price data, which was more precise than before. Here we report a result providing some strong evidence of financial news influence on stock market in Taiwan.
We collected financial news from five local Taiwanese online media and minute-level stock price data. By utilizing support vector machine algorithm, we found the accuracy of prediction for stock price fluctuations is always more than 50%, which means strong relationship between financial news in Chinese and stock market in Taiwan. More precisely, that influence varies with different media and various kinds of stocks. We anticipate that this result will prompt other researchers to find out the underlying reason of that influence in various. What is more, comparison between two feature extraction methods in our experiments will offer some suggestions for following related researches.
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