Can Twitter Help Predict Firm-Level Earnings and Stock Returns?

ABSTRACT: Prior research has examined how companies exploit Twitter in communicating with investors, and whether Twitter activity predicts the stock market as a whole. We test whether opinions of individuals tweeted just prior to a firm's earnings announcement predict its earnings and announcement returns. Using a broad sample from 2009 to 2012, we find that the aggregate opinion from individual tweets successfully predicts a firm's forthcoming quarterly earnings and announcement returns. These results hold for tweets that convey original information, as well as tweets that disseminate existing information, and are stronger for tweets providing information directly related to firm fundamentals and stock trading. Importantly, our results hold even after controlling for concurrent information or opinion from traditional media sources, and are stronger for firms in weaker information environments. Our findings highlight the importance of considering the aggregate opinion from individual tweets when assessing...

[1]  Amy P. Hutton,et al.  The Role of Social Media in the Capital Market: Evidence from Consumer Product Recalls , 2015 .

[2]  James Surowiecki The wisdom of crowds: Why the many are smarter than the few and how collective wisdom shapes business, economies, societies, and nations Doubleday Books. , 2004 .

[3]  Joseph D. Piotroski Value Investing: The Use of Historical Financial Statement Information to Separate Winners from Losers , 2000 .

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

[5]  Wei Wei,et al.  Correlating S&P 500 stocks with Twitter data , 2012, HotSocial '12.

[6]  Christopher J. Malloy,et al.  Sell Side School Ties , 2008 .

[7]  Robert F. Whitelaw,et al.  News or Noise? Internet Postings and Stock Prices , 2001 .

[8]  K. Subramanyam,et al.  Does the Stock Market Underreact to Going Concern Opinions? Evidence from the U.S. and Australia , 2006 .

[9]  Bing Liu,et al.  Mining and summarizing customer reviews , 2004, KDD.

[10]  Lu Hong,et al.  Groups of diverse problem solvers can outperform groups of high-ability problem solvers. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[11]  Russell Jame,et al.  The Value of Crowdsourced Earnings Forecasts , 2016 .

[12]  R. Ball,et al.  How Naive Is the Stock Market's Use of Earnings Information? , 1996 .

[13]  Arlington Williams,et al.  Inefficiency in Earnings Forecasts: Experimental Evidence of Reactions to Positive vs. Negative Information , 2003 .

[14]  Vivek Narayanan,et al.  Fast and Accurate Sentiment Classification Using an Enhanced Naive Bayes Model , 2013, IDEAL.

[15]  P. C. O'brien,et al.  Analyst following and institutional ownership , 1990 .

[16]  S. Pokharel Wisdom of Crowds: The Value of Stock Opinions Transmitted through Social Media , 2014 .

[17]  Do Analysts Herd? An Analysis of Recommendations and Market Reactions , 2006 .

[18]  Jeffrey D. Kubik,et al.  Security Analysts' Career Concerns and Herding of Earnings Forecasts , 1998 .

[19]  Victor L. Bernard,et al.  Tests of Analysts' Overreaction/Underreaction to Earnings Information as an Explanation for Anomalous Stock Price Behavior , 1992 .

[20]  Zhi Da,et al.  In Search of Attention , 2009 .

[21]  Martin Hentschel,et al.  Follow the money: A study of cashtags on Twitter , 2014, First Monday.

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

[23]  Rodrigo S. Verdi,et al.  Implications of Transaction Costs for the Post-Earnings-Announcement Drift , 2007 .

[24]  Andrew W. Lo,et al.  The Wisdom of Twitter Crowds: Predicting Stock Market Reactions to FOMC Meetings via Twitter Feeds , 2016, The Journal of Portfolio Management.

[25]  Zhi Da,et al.  In Search of Attention , 2009 .

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

[27]  Tyler Shumway The Delisting Bias in CRSP Data , 1997 .

[28]  A Thesis,et al.  CORPORATE USE OF SOCIAL MEDIA , 2013 .

[29]  Roni Michaely,et al.  Conflict of interest and the credibility of underwriter analyst recommendations , 1999 .

[30]  Siva Nathan,et al.  The Effect of Investment Banking Relationships on Financial Analysts' Earnings Forecasts and Investment Recommendations* , 1995 .

[31]  Michael S. Drake,et al.  Investor Information Demand: Evidence from Google Searches Around Earnings Announcements , 2012 .

[32]  I. Welch Herding among security analysts , 2000 .

[33]  Feng Li Annual Report Readability, Current Earnings, and Earnings Persistence , 2008 .

[34]  Thomas A. Rietz,et al.  Results from a Dozen Years of Election Futures Markets Research , 2008 .

[35]  Douglas L. Miller,et al.  Robust Inference with Multi-Way Clustering , 2006 .

[36]  Vernon J. Richardson,et al.  Stock‐Price Effects of Internet Buy‐Sell Recommendations: The Motley Fool Case , 2000 .

[37]  Douglas L. Miller,et al.  A Practitioner’s Guide to Cluster-Robust Inference , 2015, The Journal of Human Resources.

[38]  Russell Jame,et al.  The Value of Crowdsourced Earnings Forecasts: THE VALUE OF CROWDSOURCED EARNINGS FORECASTS , 2016 .

[39]  Jeffery Abarbanell Do analysts' earnings forecasts incorporate information in prior stock price changes? , 1991 .

[40]  Lawrence D. Brown,et al.  Forecast Selection When All Forecasts are Not Equally Recent , 1991 .

[41]  Vernon J. Richardson,et al.  Investor Attention and the Pricing of Earnings News , 2014 .

[42]  Mark Dredze,et al.  Facebook, Twitter and Google Plus for Breaking News: Is There a Winner? , 2014, ICWSM.

[43]  Sheridan Titman,et al.  On Persistence in Mutual Fund Performance , 1997 .

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

[45]  Thomas Z. Lys,et al.  The association between revisions of financial analysts' earnings forecasts and security-price changes , 1990 .

[46]  Gregory S. Miller,et al.  The Role of Dissemination in Market Liquidity: Evidence from Firms' Use of Twitter , 2013 .

[47]  W. Beaver,et al.  Delisting Returns and Their Effect on Accounting-Based Market Anomalies , 2006 .

[48]  Michael J. Jung,et al.  Do Firms Strategically Disseminate? Evidence from Corporate Use of Social Media , 2018 .

[49]  Partha S. Mohanram,et al.  Separating Winners from Losers among LowBook-to-Market Stocks using Financial Statement Analysis , 2005 .

[50]  Johan Bollen,et al.  Twitter mood predicts the stock market , 2010, J. Comput. Sci..

[51]  Do Analysts Herd? An Analysis of Recommendations and Market Reactions , 2008 .

[52]  N. Barberis,et al.  A Model of Investor Sentiment , 1997 .

[53]  Maureen F. McNichols,et al.  Underwriting relationships, analysts' earnings forecasts and investment recommendations , 1998 .

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

[55]  Thomas A. Rietz,et al.  What Makes Markets Predict Well? Evidence from the Iowa Electronic Markets , 1997 .

[56]  V. Bernard,et al.  Evidence that stock prices do not fully reflect the implications of current earnings for future earnings , 1990 .