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Pundits and Quacks

Author

Listed:
  • Jesper Rudiger

    (Dept. of Economics, University of Copenhagen)

  • Adrien Vigier

    (Dept. of Economics, University of Oslo)

Abstract

Do asset prices aggregate investors� private information about the ability of financial analysts" We show that as financial analysts become reputable, the market can get trapped: Investors optimally choose to ignore their private information, and blindly follow analyst recommendations. As time goes by and recommendations accumulate, arbitrage based on the inferred ability of analysts may become profitable again. The market can thus be trapped at times and yet be able, in the long run, to sort the pundits from the quacks. However, this process is impaired when asset fundamentals are volatile: in this case, the market might be trapped indefinitely.

Suggested Citation

  • Jesper Rudiger & Adrien Vigier, 2015. "Pundits and Quacks," Cowles Foundation Discussion Papers 1997, Cowles Foundation for Research in Economics, Yale University.
    • Handle: RePEc:cwl:cwldpp:1997
    as

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    File URL: https://cowles.yale.edu/sites/default/files/files/pub/d19/d1997.pdf
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    References listed on IDEAS

    as
    1. Ottaviani, Marco & Sorensen, Peter Norman, 2006. "The strategy of professional forecasting," Journal of Financial Economics, Elsevier, vol. 81(2), pages 441-466, August.
    2. Martin W. Cripps & George J. Mailath & Larry Samuelson, 2004. "Imperfect Monitoring and Impermanent Reputations," Econometrica, Econometric Society, vol. 72(2), pages 407-432, March.
    3. Mailath, George J. & Samuelson, Larry, 2015. "Reputations in Repeated Games," Handbook of Game Theory with Economic Applications,, Elsevier.
    4. Li, Xi, 2005. "The persistence of relative performance in stock recommendations of sell-side financial analysts," Journal of Accounting and Economics, Elsevier, vol. 40(1-3), pages 129-152, December.
    5. Glosten, Lawrence R. & Milgrom, Paul R., 1985. "Bid, ask and transaction prices in a specialist market with heterogeneously informed traders," Journal of Financial Economics, Elsevier, vol. 14(1), pages 71-100, March.
    6. Jeffrey C. Ely & Juuso Välimäki, 2003. "Bad Reputation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(3), pages 785-814.
    7. Asquith, Paul & Mikhail, Michael B. & Au, Andrea S., 2005. "Information content of equity analyst reports," Journal of Financial Economics, Elsevier, vol. 75(2), pages 245-282, February.
    8. Bikhchandani, Sushil & Hirshleifer, David & Welch, Ivo, 1992. "A Theory of Fads, Fashion, Custom, and Cultural Change in Informational Cascades," Journal of Political Economy, University of Chicago Press, vol. 100(5), pages 992-1026, October.
    9. Hu, Ju, 2014. "Reputation in the presence of noisy exogenous learning," Journal of Economic Theory, Elsevier, vol. 153(C), pages 64-73.
    10. Andreas Park & Hamid Sabourian, 2011. "Herding and Contrarian Behavior in Financial Markets," Econometrica, Econometric Society, vol. 79(4), pages 973-1026, July.
    11. Trueman, Brett, 1994. "Analyst Forecasts and Herding Behavior," The Review of Financial Studies, Society for Financial Studies, vol. 7(1), pages 97-124.
    12. Roland Benabou & Guy Laroque, 1992. "Using Privileged Information to Manipulate Markets: Insiders, Gurus, and Credibility," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(3), pages 921-958.
    13. Ran Spiegler, 2006. "The Market for Quacks," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 73(4), pages 1113-1131.
    14. Hirst, De & Koonce, L & Simko, Pj, 1995. "Investor Reactions To Financial Analysts Research Reports," Journal of Accounting Research, Wiley Blackwell, vol. 33(2), pages 335-351.
    15. In Ho Lee, 1998. "Market Crashes and Informational Avalanches," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(4), pages 741-759.
    16. Dasgupta, Amil & Prat, Andrea, 2008. "Information aggregation in financial markets with career concerns," Journal of Economic Theory, Elsevier, vol. 143(1), pages 83-113, November.
    17. Admati, Anat R. & Pfleiderer, Paul, 1986. "A monopolistic market for information," Journal of Economic Theory, Elsevier, vol. 39(2), pages 400-438, August.
    18. Scharfstein, David S & Stein, Jeremy C, 1990. "Herd Behavior and Investment," American Economic Review, American Economic Association, vol. 80(3), pages 465-479, June.
    19. Avery, Christopher & Zemsky, Peter, 1998. "Multidimensional Uncertainty and Herd Behavior in Financial Markets," American Economic Review, American Economic Association, vol. 88(4), pages 724-748, September.
    20. Ramnath, Sundaresh & Rock, Steve & Shane, Philip, 2008. "The financial analyst forecasting literature: A taxonomy with suggestions for further research," International Journal of Forecasting, Elsevier, vol. 24(1), pages 34-75.
    21. Rudiger, Jesper & Vigier, Adrien, 2013. "Financial Experts, Asset Prices and Reputation," MPRA Paper 51784, University Library of Munich, Germany.
    22. Abhijit V. Banerjee, 1992. "A Simple Model of Herd Behavior," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(3), pages 797-817.
    23. Prendergast, Canice & Stole, Lars, 1996. "Impetuous Youngsters and Jaded Old-Timers: Acquiring a Reputation for Learning," Journal of Political Economy, University of Chicago Press, vol. 104(6), pages 1105-1134, December.
    24. Wiseman, Thomas, 2009. "Reputation and exogenous private learning," Journal of Economic Theory, Elsevier, vol. 144(3), pages 1352-1357, May.
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    More about this item

    Keywords

    Financial analysts; Reputation; Market microstructure; Social learning;
    All these keywords.

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G20 - Financial Economics - - Financial Institutions and Services - - - General

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