Computers Identify Interesting Trends and Relationships in Financial Reporting | Science Daily

Fewer Verbs and Nouns in Financial Reporting Could Predict Stock Market Bubble, Study Shows

ScienceDaily (July 19, 2011) — When the language used by financial analysts and reporters becomes increasingly similar the stock market may be overheated, say scientists.

After examining 18,000 online articles published by the Financial Times, The New York Times, and the BBC, computer scientists have discovered that the verbs and nouns used by financial commentators converge in a 'herd-like' fashion in the lead up to a stock market bubble. Immediately afterwards, the language disperses.

The findings presented at the International Joint Conference on Artificial Intelligence, Barcelona, Spain, on July 19, 2011, show that the trends in the use of words by financial journalists correlate closely with changes in the leading stock indices.

"Our analysis shows that trends in the use of words by financial journalists correlate closely with changes in the leading stock indices -- the DJI, the NIKKEI-225, and FTSE-100," says Professor Mark Keane, Chair of Computer Science in University College Dublin, who was involved in the research.

"By plotting the distributions of words used in financial articles published online between 2006 and 2010 into a computer model, we were able to identify what we call 'verb convergence' and 'noun convergence -- where the language used by financial

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