Which News Moves Stock Prices? A Textual Analysis

A basic tenet of financial economics is that asset prices change in response to unexpected fundamental information. Since Roll's (1988) provocative presidential address that showed little relation between stock prices and news, however, the finance literature has had limited success reversing this finding. This paper revisits this topic in a novel way. Using advancements in the area of textual analysis, we are better able to identify relevant news, both by type and by tone. Once news is correctly identified in this manner, there is considerably more evidence of a strong relationship between stock price changes and information. For example, market model R-squareds are no longer the same on news versus no news days (i.e., Roll's (1988) infamous result), but now are 16% versus 33%; variance ratios of returns on identified news versus no news days are 120% higher versus only 20% for unidentified news versus no news; and, conditional on extreme moves, stock price reversals occur on no news days, while identified news days show an opposite effect, namely a strong degree of continuation. A number of these results are strengthened further when the tone of the news is taken into account by measuring the positive/negative sentiment of the news story.

[1]  R. Engle,et al.  And Now, The Rest of the News: Volatility and Firm Specific News Arrival , 2012 .

[2]  J. Griffin,et al.  How Important Is the Financial Media in Global Markets , 2011 .

[3]  Ronen Feldman,et al.  The Stock Sonar - Sentiment Analysis of Stocks Based on a Hybrid Approach , 2011, IAAI.

[4]  Nikolaus Hautsch,et al.  When machines read the news: Using automated text analytics to quantify high frequency news-implied market reactions , 2011 .

[5]  Gerard Hoberg,et al.  Litigation Risk, Strategic Disclosure and the Underpricing of Initial Public Offerings , 2011 .

[6]  Feng Li.  The Information Content of Forward-Looking Statements in Corporate Filings—A Naïve Bayesian Machine Learning Approach , 2010 .

[7]  Bryan R. Routledge,et al.  Information Content of Public Firm Disclosures and the Sarbanes-Oxley Act , 2010 .

[8]  Paul C. Tetlock.  Does Public Financial News Resolve Asymmetric Information? , 2010 .

[9]  Tim Loughran,et al.  When is a Liability not a Liability? Textual Analysis, Dictionaries, and 10-Ks , 2010 .

[10]  S. Kothari,et al.  The Effect of Disclosures by Management, Analysts, and Business Press on Cost of Capital, Return Volatility, and Analyst Forecasts: A Study Using Content Analysis , 2009 .

[11]  Ronen Feldman,et al.  Management's Tone Change, Post Earnings Announcement Drift and Accruals , 2009 .

[12]  Joseph Engelberg.  Costly Information Processing: Evidence from Earnings Announcements , 2008 .

[13]  Elizabeth Demers,et al.  Soft information in earnings announcements: news or noise? , 2008 .

[14]  David D. Jensen,et al.  Mining of Concurrent Text and Time Series , 2008 .

[15]  Mike Y. Chen,et al.  Yahoo! for Amazon: Sentiment Extraction from Small Talk on the Web , 2001 .

[16]  Khurshid Ahmad,et al.  Sentiment Polarity Identification in Financial News: A Cohesion-based Approach , 2007, ACL.

[17]  Sofus A. Macskassy,et al.  More than Words: Quantifying Language to Measure Firms' Fundamentals the Authors Are Grateful for Assiduous Research Assistance from Jie Cao and Shuming Liu. We Appreciate Helpful Comments From , 2007 .

[18]  Eric K. Kelley,et al.  The Long-Lasting Momentum in Weekly Returns , 2008 .

[19]  Jeremy Piger,et al.  Louis Working Paper Series Beyond the Numbers : An Analysis of Optimistic and Pessimistic Language in Earnings Press Releases , 2006 .

[20]  Paul C. Tetlock.  Giving Content to Investor Sentiment: The Role of Media in the Stock Market , 2005, The Journal of Finance.

[21]  Clara Vega.  Stock Price Reaction to Public and Private Information , 2004 .

[22]  Hinrich Schütze,et al.  Book Reviews: Foundations of Statistical Natural Language Processing , 1999, CL.

[23]  Werner Antweiler,et al.  Is All that Talk Just Noise? The Information Content of Internet Stock Message Boards , 2001 .

[24]  W. S. Chan,et al.  Stock Price Reaction to News and No-News: Drift and Reversal after Headlines , 2001 .

[25]  Thomas D. Berry,et al.  Public Information Arrival , 1994 .

[26]  M. Mitchell,et al.  The Impact of Public Information on the Stock Market , 1994 .

[27]  J. Poterba,et al.  What moves stock prices? , 1988 .

[28]  P. Asquith,et al.  Equity issues and offering dilution , 1986 .

[29]  R. Roll.  Orange Juice and Weather , 1984 .

[30]  J. Aharony,et al.  Quarterly Dividend and Earnings Announcements and Stockholders' Returns: An Empirical Analysis , 1980 .

[31]  G. Mandelker.  Risk and return: The case of merging firms , 1974 .

[32]  E. Fama,et al.  The Adjustment of Stock Prices to New Information , 1969 .

[33]  R. Ball,et al.  An empirical evaluation of accounting income numbers , 1968 .