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We propose an indicator to measure the degree to which a particular newsarticle is novel, as well as an indicator to measure the degree to which aparticular news item attracts attention from investors. The novelty measure isobtained by comparing the extent to which a particular news article is similarto earlier news articles, and an article is regarded as novel if there was nosimilar article before it. On the other hand, we say a news item receives a lotof attention and thus is highly topical if it is simultaneously reported bymany news agencies and read by many investors who receive news from thoseagencies. The topicality measure for a news item is obtained by counting thenumber of news articles whose content is similar to an original news articlebut which are delivered by other news agencies. To check the performance of theindicators, we empirically examine how these indicators are correlated withintraday financial market indicators such as the number of transactions andprice volatility. Specifically, we use a dataset consisting of over 90 millionbusiness news articles reported in English and a dataset consisting ofminute-by-minute stock prices on the New York Stock Exchange and the NASDAQStock Market from 2003 to 2014, and show that stock prices and transactionvolumes exhibited a significant response to a news article when it is novel andtopical.

Novel and topical business news and their impact on stock market activities