"More Than Words: Quantifying Language to Measure Firms' Fundamentals"
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Journal of Finance,
June
2008
Publication type: Journal article Research Archive Topic: Capital Markets and Investments AbstractWe examine whether a simple quantitative measure of language can be used to predict individual firms' accounting earnings and stock returns. Our three main findings are: (1) the fraction of negative words in firm-specific news stories forecasts low firm earnings; (2) firms' stock prices briefly underreact to the information embedded in negative words; and (3) the earnings and return predictability from negative words is largest for the stories that focus on fundamentals. Together these findings suggest that linguistic media content captures otherwise hard-to-quantify aspects of firms' fundamentals, which investors quickly incorporate into stock prices. The definitive version of this article is available at Wiley Interscience. Each author name for a Columbia Business School faculty member is linked to a faculty research page, which lists additional publications by that faculty member. Each topic is linked to an index of publications on that topic. |
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