IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/17298.html
   My bibliography  Save this paper

The "CAPS" Prediction System and Stock Market Returns

Author

Listed:
  • Christopher Avery
  • Judith A. Chevalier
  • Richard J. Zeckhauser

Abstract

We study the predictive power of approximately 2.5 million stock picks submitted by individual users to the "CAPS" website run by the Motley Fool company (www.caps.fool.com). These picks prove to be surprisingly informative about future stock prices. Indeed, a strategy of shorting stocks with a disproportionate number of negative picks on the site and buying stocks with a disproportionate number of positive picks produces a return of over nine percent per annum over the sample period. These results are mostly driven by the fact that negative picks on the site strongly predict future stock price declines; positive picks on the site produce returns that are statistically indistinguishable from the market. A Fama French decomposition suggests that these results are largely due to stock-picking rather than style factors or market timing.

Suggested Citation

  • Christopher Avery & Judith A. Chevalier & Richard J. Zeckhauser, 2011. "The "CAPS" Prediction System and Stock Market Returns," NBER Working Papers 17298, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:17298
    Note: AP
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w17298.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Zoran Ivković & Scott Weisbenner, 2005. "Local Does as Local Is: Information Content of the Geography of Individual Investors' Common Stock Investments," Journal of Finance, American Finance Association, vol. 60(1), pages 267-306, February.
    2. Sanjiv R. Das & Mike Y. Chen, 2007. "Yahoo! for Amazon: Sentiment Extraction from Small Talk on the Web," Management Science, INFORMS, vol. 53(9), pages 1375-1388, September.
    3. Russ Wermers, 2000. "Mutual Fund Performance: An Empirical Decomposition into Stock-Picking Talent, Style, Transactions Costs, and Expenses," Journal of Finance, American Finance Association, vol. 55(4), pages 1655-1703, August.
    4. Pastor, Lubos & Stambaugh, Robert F., 2002. "Investing in equity mutual funds," Journal of Financial Economics, Elsevier, vol. 63(3), pages 351-380, March.
    5. Brad M. Barber & Terrance Odean & Ning Zhu, 2009. "Do Retail Trades Move Markets?," The Review of Financial Studies, Society for Financial Studies, vol. 22(1), pages 151-186, January.
    6. Bagnoli, Mark & Beneish, Messod D. & Watts, Susan G., 1999. "Whisper forecasts of quarterly earnings per share," Journal of Accounting and Economics, Elsevier, vol. 28(1), pages 27-50, November.
    7. Baker, Malcolm & Litov, Lubomir & Wachter, Jessica A. & Wurgler, Jeffrey, 2010. "Can Mutual Fund Managers Pick Stocks? Evidence from Their Trades Prior to Earnings Announcements," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 45(5), pages 1111-1131, October.
    8. Justin Wolfers & Eric Zitzewitz, 2004. "Prediction Markets," Journal of Economic Perspectives, American Economic Association, vol. 18(2), pages 107-126, Spring.
    9. Andrew Metrick, 1999. "Performance Evaluation with Transactions Data: The Stock Selection of Investment Newsletters," Journal of Finance, American Finance Association, vol. 54(5), pages 1743-1775, October.
    10. Massimo Massa & Andrei Simonov, 2006. "Hedging, Familiarity and Portfolio Choice," The Review of Financial Studies, Society for Financial Studies, vol. 19(2), pages 633-685.
    11. Jones, Charles M. & Lamont, Owen A., 2002. "Short-sale constraints and stock returns," Journal of Financial Economics, Elsevier, vol. 66(2-3), pages 207-239.
    12. Ivković, Zoran & Sialm, Clemens & Weisbenner, Scott, 2008. "Portfolio Concentration and the Performance of Individual Investors," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 43(3), pages 613-655, September.
    13. Luís Cabral & Ali Hortaçsu, 2010. "The Dynamics Of Seller Reputation: Evidence From Ebay," Journal of Industrial Economics, Wiley Blackwell, vol. 58(1), pages 54-78, March.
    14. repec:eme:mfppss:v:34:y:2008:i:6:p:423-436 is not listed on IDEAS
    15. Boehme, Rodney D. & Danielsen, Bartley R. & Sorescu, Sorin M., 2006. "Short-Sale Constraints, Differences of Opinion, and Overvaluation," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 41(2), pages 455-487, June.
    16. Robert W. Hahn & Paul Tetlock, 2006. "Information Markets: A New Way of Making Decisions," Books, American Enterprise Institute, number 51409, September.
    17. Russ Wermers, 2000. "Mutual Fund Performance: An Empirical Decomposition into Stock‐Picking Talent, Style, Transactions Costs, and Expenses," Journal of Finance, American Finance Association, vol. 55(4), pages 1655-1695, August.
    18. Paul Resnick & Richard Zeckhauser & John Swanson & Kate Lockwood, 2006. "The value of reputation on eBay: A controlled experiment," Experimental Economics, Springer;Economic Science Association, vol. 9(2), pages 79-101, June.
    19. Brad M. Barber & Terrance Odean, 2001. "The Internet and the Investor," Journal of Economic Perspectives, American Economic Association, vol. 15(1), pages 41-54, Winter.
    20. Judith Chevalier & Glenn Ellison, 1999. "Are Some Mutual Fund Managers Better Than Others? Cross‐Sectional Patterns in Behavior and Performance," Journal of Finance, American Finance Association, vol. 54(3), pages 875-899, June.
    21. Brad M. Barber & Terrance Odean, 2000. "Trading Is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors," Journal of Finance, American Finance Association, vol. 55(2), pages 773-806, April.
    22. Brad M. Barber & Terrance Odean, 2001. "Boys will be Boys: Gender, Overconfidence, and Common Stock Investment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(1), pages 261-292.
    23. Mikhail, Michael B. & Walther, Beverly R. & Willis, Richard H., 2004. "Do security analysts exhibit persistent differences in stock picking ability?," Journal of Financial Economics, Elsevier, vol. 74(1), pages 67-91, October.
    24. Paul C. Tetlock, 2007. "Giving Content to Investor Sentiment: The Role of Media in the Stock Market," Journal of Finance, American Finance Association, vol. 62(3), pages 1139-1168, June.
    25. Werner Antweiler & Murray Z. Frank, 2004. "Is All That Talk Just Noise? The Information Content of Internet Stock Message Boards," Journal of Finance, American Finance Association, vol. 59(3), pages 1259-1294, June.
    26. Terrance Odean, 1999. "Do Investors Trade Too Much?," American Economic Review, American Economic Association, vol. 89(5), pages 1279-1298, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Cathy Yi-Hsuan Chen & Christian M. Hafner, 2019. "Sentiment-Induced Bubbles in the Cryptocurrency Market," JRFM, MDPI, vol. 12(2), pages 1-12, April.
    2. Kommel, Karl Arnold & Sillasoo, Martin & Lublóy, Ágnes, 2019. "Could crowdsourced financial analysis replace the equity research by investment banks?," Finance Research Letters, Elsevier, vol. 29(C), pages 280-284.
    3. Sergey Nasekin & Cathy Yi-Hsuan Chen, 2020. "Deep learning-based cryptocurrency sentiment construction," Digital Finance, Springer, vol. 2(1), pages 39-67, September.
    4. Breitmayer, Bastian & Massari, Filippo & Pelster, Matthias, 2019. "Swarm intelligence? Stock opinions of the crowd and stock returns," International Review of Economics & Finance, Elsevier, vol. 64(C), pages 443-464.
    5. Chen, Cathy Yi-Hsuan & Després, Roméo & Guo, Li & Renault, Thomas, 2019. "What makes cryptocurrencies special? Investor sentiment and return predictability during the bubble," IRTG 1792 Discussion Papers 2019-016, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    6. André Betzer & Jan Philipp Harries, 2022. "How online discussion board activity affects stock trading: the case of GameStop," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 36(4), pages 443-472, December.
    7. Magnus Dahlquist & José Vicente Martinez & Paul Söderlind, 2017. "Individual Investor Activity and Performance," The Review of Financial Studies, Society for Financial Studies, vol. 30(3), pages 866-899.
    8. Renault, Thomas, 2017. "Intraday online investor sentiment and return patterns in the U.S. stock market," Journal of Banking & Finance, Elsevier, vol. 84(C), pages 25-40.
    9. Godfrey Charles-Cadogan, 2012. "Alpha Representation For Active Portfolio Management and High Frequency Trading In Seemingly Efficient Markets," Papers 1206.2662, arXiv.org.
    10. Dushmanta Kumar Padhi & Neelamadhab Padhy & Akash Kumar Bhoi & Jana Shafi & Muhammad Fazal Ijaz, 2021. "A Fusion Framework for Forecasting Financial Market Direction Using Enhanced Ensemble Models and Technical Indicators," Mathematics, MDPI, vol. 9(21), pages 1-31, October.
    11. Manuel Ammann & Nic Schaub, 2021. "Do Individual Investors Trade on Investment-Related Internet Postings?," Management Science, INFORMS, vol. 67(9), pages 5679-5702, September.
    12. He, Xue-Zhong & Treich, Nicolas, 2017. "Prediction market prices under risk aversion and heterogeneous beliefs," Journal of Mathematical Economics, Elsevier, vol. 70(C), pages 105-114.
    13. Alasdair Brown & Dooruj Rambaccussing & James Reade & Giambattista Rossi, 2016. "Using Social Media to Identify Market Inefficiencies: Evidence from Twitter and Betfair," Economics Discussion Papers em-dp2016-01, Department of Economics, University of Reading.
    14. Basak, Suryoday & Kar, Saibal & Saha, Snehanshu & Khaidem, Luckyson & Dey, Sudeepa Roy, 2019. "Predicting the direction of stock market prices using tree-based classifiers," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 552-567.
    15. Ramirez, Philip & Reade, J. James & Singleton, Carl, 2023. "Betting on a buzz: Mispricing and inefficiency in online sportsbooks," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1413-1423.
    16. Alasdair Brown & Dooruj Rambaccussing & J. James Reade & Giambattista Rossi, 2016. "Using Social Media to Identify Market Ine!ciencies: Evidence from Twitter and Betfair," Working Papers 2016-002, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    17. Michael Nofer & Oliver Hinz, 2015. "Using Twitter to Predict the Stock Market," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 57(4), pages 229-242, August.
    18. Alasdair Brown & Dooruj Rambaccussing & J. James Reade & Giambattista Rossi, 2018. "Forecasting With Social Media: Evidence From Tweets On Soccer Matches," Economic Inquiry, Western Economic Association International, vol. 56(3), pages 1748-1763, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Guiso, Luigi & Sodini, Paolo, 2013. "Household Finance: An Emerging Field," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1397-1532, Elsevier.
    2. Laurent E. Calvet & John Y. Campbell & Paolo Sodini, 2007. "Down or Out: Assessing the Welfare Costs of Household Investment Mistakes," Journal of Political Economy, University of Chicago Press, vol. 115(5), pages 707-747, October.
    3. Barber, Brad M. & Odean, Terrance, 2013. "The Behavior of Individual Investors," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1533-1570, Elsevier.
    4. Gamble, Keith Jacks & Xu, Wei, 2017. "Informed retail investors: Evidence from retail short sales," Journal of Empirical Finance, Elsevier, vol. 40(C), pages 59-72.
    5. Peress, Joel & Schmidt, Daniel, 2021. "Noise traders incarnate: Describing a realistic noise trading process," Journal of Financial Markets, Elsevier, vol. 54(C).
    6. Hoechle, Daniel & Schmid, Markus & Zimmermann, Heinz, 2012. "Decomposing Performance," Working Papers on Finance 1216, University of St. Gallen, School of Finance, revised Nov 2015.
    7. Qingbin Meng & Congyi Ju & Qinghua Huang & Song Wang, 2023. "The informativeness of investor communication with corporate insiders: Evidence from China," International Finance, Wiley Blackwell, vol. 26(2), pages 189-207, August.
    8. Manuel Ammann & Nic Schaub, 2021. "Do Individual Investors Trade on Investment-Related Internet Postings?," Management Science, INFORMS, vol. 67(9), pages 5679-5702, September.
    9. John Y. Campbell, 2006. "Household Finance," Journal of Finance, American Finance Association, vol. 61(4), pages 1553-1604, August.
    10. Fung, Scott & Tsai, Shih-Chuan, 2021. "The price discovery role of day traders in futures market: Evidence from different types of day traders," Journal of Empirical Finance, Elsevier, vol. 64(C), pages 53-77.
    11. Campbell, John Y. & Ramadorai, Tarun & Schwartz, Allie, 2009. "Caught on tape: Institutional trading, stock returns, and earnings announcements," Journal of Financial Economics, Elsevier, vol. 92(1), pages 66-91, April.
    12. George M. Korniotis & Alok Kumar, 2008. "Do behavioral biases adversely affect the macro-economy?," Finance and Economics Discussion Series 2008-49, Board of Governors of the Federal Reserve System (U.S.).
    13. Leung, Henry & Ton, Thai, 2015. "The impact of internet stock message boards on cross-sectional returns of small-capitalization stocks," Journal of Banking & Finance, Elsevier, vol. 55(C), pages 37-55.
    14. Christoffersen, Susan E.K. & Sarkissian, Sergei, 2011. "The demographics of fund turnover," Journal of Financial Intermediation, Elsevier, vol. 20(3), pages 414-440, July.
    15. Bui, Dien Giau & Hasan, Iftekhar & Lin, Chih-Yung & Zhai, Rui-Xiang, 2022. "Income, trading, and performance: Evidence from retail investors," Journal of Empirical Finance, Elsevier, vol. 66(C), pages 176-195.
    16. Grinblatt, Mark & Keloharju, Matti & Linnainmaa, Juhani T., 2012. "IQ, trading behavior, and performance," Journal of Financial Economics, Elsevier, vol. 104(2), pages 339-362.
    17. Jakusch, Sven Thorsten & Meyer, Steffen & Hackethal, Andreas, 2019. "Taming models of prospect theory in the wild? Estimation of Vlcek and Hens (2011)," SAFE Working Paper Series 146, Leibniz Institute for Financial Research SAFE, revised 2019.
    18. Camille Magron, 2012. "Performance of individual investors and personal investment objectives," Working Papers of LaRGE Research Center 2012-07, Laboratoire de Recherche en Gestion et Economie (LaRGE), Université de Strasbourg.
    19. Jiekun Huang & Nianhang Xu & Honghai Yu, 2020. "Pollution and Performance: Do Investors Make Worse Trades on Hazy Days?," Management Science, INFORMS, vol. 66(10), pages 4455-4476, October.
    20. Chague, Fernando Daniel & Bueno, Rodrigo de Losso da Silveira & Giovannetti, Bruno Cara, 2018. "The short-selling skill of institutions and individuals: a market-wide and out-of-sample analysis," Textos para discussão 469, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).

    More about this item

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nbr:nberwo:17298. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.