TAILIEUCHUNG - Mining The Web For The "Voice Of The Herd" To Track Stock Market Bubbles

The sample of M&As is collected from the Securities Data Corporation’s (SDC) US Mergers and Acquisitions Database. We select both completed and withdrawn domestic M&As with announcement dates between 1980 and 2003, and require both the acquirer and the target to be public firms. We include only acquisitions in which the acquiring firms control less than 50% of the shares of the target firms before acquisition announcements. We further require that 1) deal values are at least $10 million; 2) acquiring firms are listed on the NYSE, AMEX, or NASDAQ when the acquisitions are announced; 3) stock price and return information of acquiring firms are available fromCenter. | Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence Mining the Web for the Voice of the Herd to Track Stock Market Bubbles Aaron Gerow Mark T. Keane Trinity College Dublin Dublin Ireland gerowa@ University College Dublin Belfield Ireland Abstract We show that power-law analyses of financial commentaries from newspaper web-sites can be used to identify stock market bubbles supplementing traditional volatility analyses. Using a four-year corpus of 17 713 online finance-related articles 10M words from the Financial Times the New York Times and the BBC we show that week-to-week changes in power-law distributions reflect market movements of the Dow Jones Industrial Average DJI the FTSE-100 and the NIKKEI-225. Notably the statistical regularities in language track the 2007 stock market bubble showing emerging structure in the language of commentators as progressively greater agreement arose in their positive perceptions of the market. Furthermore during the bubble period a marked divergence in positive language occurs as revealed by a Kullback-Leibler analysis. 1 Introduction Reputedly John D. Rockefeller got out of stocks before the 1929 crash when a bellhop asked him for a stock tip showing the millionaire s canniness as to the causes of stock market bubbles namely that they occur when everyone is talking about the market and has the same positive view of it. Bubbles are defined by emerging unrealistic expectations about future earnings in a stock or commodity that gathers pace through imitative herd behavior that feeds into further irrational exuberance Somette 2003 . Current techniques for predicting bubbles rely on the analyses of price movements and volatility . the VXO VIX or the LP-PL model see Yan et al. 2010 but are often explained away by claims about new valuation models . the New Economy story during the bubble . Recently the statistical regularities found in written-language .

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