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Stock prices are driven by various factors. In particular, many individualinvestors who have relatively little financial knowledge rely heavily on theinformation from news stories when making investment decisions in the stockmarket. However, these stories may not reflect future stock prices because ofthe subjectivity in the news; stock prices may instead affect the newscontents. This study aims to discover whether it is news or stock prices thathave a greater impact on the other. To achieve this, we analyze therelationship between news sentiment and stock prices based on time seriesanalysis using five different classification models. Our experimental resultsshow that stock prices have a bigger impact on the news contents than news doeson stock prices.

Interdependency between the Stock Market and Financial News