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Higher-order beliefs among professional stock market forecasters: some first empirical tests

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  • Rangvid, Jesper
  • Schmeling, Maik
  • Schrimpf, Andreas

Abstract

A sizeable literature reports that financial market analysts and forecasters herd for reputational reasons. Using new data from a large survey of professional forecasters' expectations about stock market movements, we find strong evidence that the expected average of all forecasters' forecasts (the expected consensus forecast) influences an individual forecaster's own forecast. This looks like herding. In our survey, forecasters do not herd for reputational reasons, however. Instead of herding, we suggest that forecasters form higher-order expectations in the spirit of Keynes (1936). We find that young forecasters and portfolio managers, who in previous studies have been reported to be those who in particular herd, rely more on the expected consensus forecasts than other forecasters. Given that forecasters have no incentive to herd in our study, we conclude that our results indicate that the incorporation of the expected consensus forecast into individual forecasts is most likely due to higher-order expectations.

Suggested Citation

  • Rangvid, Jesper & Schmeling, Maik & Schrimpf, Andreas, 2009. "Higher-order beliefs among professional stock market forecasters: some first empirical tests," ZEW Discussion Papers 09-042, ZEW - Leibniz Centre for European Economic Research.
  • Handle: RePEc:zbw:zewdip:09042
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    as
    1. repec:bla:jfinan:v:53:y:1998:i:5:p:1563-1587 is not listed on IDEAS
    2. Antoni Bosch-Domènech & José G. Montalvo & Rosemarie Nagel & Albert Satorra, 2002. "One, Two, (Three), Infinity, ...: Newspaper and Lab Beauty-Contest Experiments," American Economic Review, American Economic Association, vol. 92(5), pages 1687-1701, December.
    3. Frankel, Jeffrey A & Froot, Kenneth A, 1987. "Using Survey Data to Test Standard Propositions Regarding Exchange Rate Expectations," American Economic Review, American Economic Association, vol. 77(1), pages 133-153, March.
    4. Giancarlo Corsetti & Amil Dasgupta & Stephen Morris & Hyun Song Shin, 2004. "Does One Soros Make a Difference? A Theory of Currency Crises with Large and Small Traders," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 71(1), pages 87-113.
    5. Andrew Ang & Geert Bekaert, 2007. "Stock Return Predictability: Is it There?," The Review of Financial Studies, Society for Financial Studies, vol. 20(3), pages 651-707.
    6. John Y. Campbell & Tuomo Vuolteenaho, 2004. "Inflation Illusion and Stock Prices," American Economic Review, American Economic Association, vol. 94(2), pages 19-23, May.
    7. Lubos Pastor & Pietro Veronesi, 2009. "Learning in Financial Markets," Annual Review of Financial Economics, Annual Reviews, vol. 1(1), pages 361-381, November.
    8. John Y. Campbell, Robert J. Shiller, 1988. "The Dividend-Price Ratio and Expectations of Future Dividends and Discount Factors," The Review of Financial Studies, Society for Financial Studies, vol. 1(3), pages 195-228.
    9. Judith Chevalier & Glenn Ellison, 1999. "Career Concerns of Mutual Fund Managers," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(2), pages 389-432.
    10. Allen F. & Morris S. & Postlewaite A., 1993. "Finite Bubbles with Short Sale Constraints and Asymmetric Information," Journal of Economic Theory, Elsevier, vol. 61(2), pages 206-229, December.
    11. Kristoffer Nimark, 2007. "Dynamic higher order expectations," Economics Working Papers 1118, Department of Economics and Business, Universitat Pompeu Fabra, revised Mar 2011.
    12. 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.
    13. Philippe Bacchetta & Eric Van Wincoop, 2006. "Can Information Heterogeneity Explain the Exchange Rate Determination Puzzle?," American Economic Review, American Economic Association, vol. 96(3), pages 552-576, June.
    14. Frankel, Jeffrey A & Froot, Kenneth A, 1990. "Chartists, Fundamentalists, and Trading in the Foreign Exchange Market," American Economic Review, American Economic Association, vol. 80(2), pages 181-185, May.
    15. Lamont, Owen A., 2002. "Macroeconomic forecasts and microeconomic forecasters," Journal of Economic Behavior & Organization, Elsevier, vol. 48(3), pages 265-280, July.
    16. Fama, Eugene F. & French, Kenneth R., 1988. "Dividend yields and expected stock returns," Journal of Financial Economics, Elsevier, vol. 22(1), pages 3-25, October.
    17. Devenow, Andrea & Welch, Ivo, 1996. "Rational herding in financial economics," European Economic Review, Elsevier, vol. 40(3-5), pages 603-615, April.
    18. Ernan Haruvy & Yaron Lahav & Charles N. Noussair, 2007. "Traders' Expectations in Asset Markets: Experimental Evidence," American Economic Review, American Economic Association, vol. 97(5), pages 1901-1920, December.
    19. Annette Vissing-Jorgensen, 2004. "Perspectives on Behavioral Finance: Does "Irrationality" Disappear with Wealth? Evidence from Expectations and Actions," NBER Chapters, in: NBER Macroeconomics Annual 2003, Volume 18, pages 139-208, National Bureau of Economic Research, Inc.
    20. Snehal Banerjee & Ron Kaniel & Ilan Kremer, 2009. "Price Drift as an Outcome of Differences in Higher-Order Beliefs," The Review of Financial Studies, Society for Financial Studies, vol. 22(9), pages 3707-3734, September.
    21. Bernhardt, Dan & Campello, Murillo & Kutsoati, Edward, 2006. "Who herds?," Journal of Financial Economics, Elsevier, vol. 80(3), pages 657-675, June.
    22. Geert Bekaert & Campbell R. Harvey & Christian T. Lundblad & Stephan Siegel, 2011. "What Segments Equity Markets?," The Review of Financial Studies, Society for Financial Studies, vol. 24(12), pages 3841-3890.
    23. Welch, Ivo, 2000. "Herding among security analysts," Journal of Financial Economics, Elsevier, vol. 58(3), pages 369-396, December.
    24. David Hirshleifer & Siew Hong Teoh, 2003. "Herd Behaviour and Cascading in Capital Markets: a Review and Synthesis," European Financial Management, European Financial Management Association, vol. 9(1), pages 25-66, March.
    25. Harrison Hong & Jeffrey D. Kubik & Amit Solomon, 2000. "Security Analysts' Career Concerns and Herding of Earnings Forecasts," RAND Journal of Economics, The RAND Corporation, vol. 31(1), pages 121-144, Spring.
    26. Stephen Morris & Hyun Song Shin, 2005. "Central Bank Transparency and the Signal Value of Prices," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 36(2), pages 1-66.
    27. Hausman, Jerry A. & Lo, Andrew W. & MacKinlay, A. Craig, 1992. "An ordered probit analysis of transaction stock prices," Journal of Financial Economics, Elsevier, vol. 31(3), pages 319-379, June.
    28. Greenwood, Robin & Nagel, Stefan, 2009. "Inexperienced investors and bubbles," Journal of Financial Economics, Elsevier, vol. 93(2), pages 239-258, August.
    29. Scharfstein, David S & Stein, Jeremy C, 1990. "Herd Behavior and Investment," American Economic Review, American Economic Association, vol. 80(3), pages 465-479, June.
    30. Franklin Allen & Stephen Morris & Hyun Song Shin, 2006. "Beauty Contests and Iterated Expectations in Asset Markets," The Review of Financial Studies, Society for Financial Studies, vol. 19(3), pages 719-752.
    31. Bruno Biais & Peter Bossaerts, 1998. "Asset Prices and Trading Volume in a Beauty Contest," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(2), pages 307-340.
    32. Ilan Cooper, 2009. "Time-Varying Risk Premiums and the Output Gap," The Review of Financial Studies, Society for Financial Studies, vol. 22(7), pages 2601-2633, July.
    33. Jeff Dominitz & Charles F. Manski, 2011. "Measuring and interpreting expectations of equity returns," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(3), pages 352-370, April.
    34. Menkhoff, Lukas & Schmidt, Ulrich & Brozynski, Torsten, 2006. "The impact of experience on risk taking, overconfidence, and herding of fund managers: Complementary survey evidence," European Economic Review, Elsevier, vol. 50(7), pages 1753-1766, October.
    35. Gregory W. Brown & Michael T. Cliff, 2005. "Investor Sentiment and Asset Valuation," The Journal of Business, University of Chicago Press, vol. 78(2), pages 405-440, March.
    36. Randolph B. Cohen & Christopher Polk & Tuomo Vuolteenaho, 2005. "Money Illusion in the Stock Market: The Modigliani-Cohn Hypothesis," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(2), pages 639-668.
    37. Rangvid, Jesper, 2006. "Output and expected returns," Journal of Financial Economics, Elsevier, vol. 81(3), pages 595-624, September.
    38. John A. List, 2003. "Does Market Experience Eliminate Market Anomalies?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(1), pages 41-71.
    39. Jose A. Scheinkman & Wei Xiong, 2003. "Overconfidence and Speculative Bubbles," Journal of Political Economy, University of Chicago Press, vol. 111(6), pages 1183-1219, December.
    40. Norman Strong & Xinzhong Xu, 2003. "Understanding the Equity Home Bias: Evidence from Survey Data," The Review of Economics and Statistics, MIT Press, vol. 85(2), pages 307-312, May.
    41. Brown, Gregory W. & Cliff, Michael T., 2004. "Investor sentiment and the near-term stock market," Journal of Empirical Finance, Elsevier, vol. 11(1), pages 1-27, January.
    42. John R. Graham, 1999. "Herding among Investment Newsletters: Theory and Evidence," Journal of Finance, American Finance Association, vol. 54(1), pages 237-268, February.
    43. Stickel, Scott E, 1992. "Reputation and Performance among Security Analysts," Journal of Finance, American Finance Association, vol. 47(5), pages 1811-1836, December.
    44. Jeffrey A. Frankel & Kenneth A. Froot, 1985. "Using Survey Data to Test Some Standard Propositions Regarding Exchange Rate Expectations," NBER Working Papers 1672, National Bureau of Economic Research, Inc.
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    2. Brückbauer Frank & Schröder Michael, 2023. "The ZEW Financial Market Survey Panel," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 243(3-4), pages 451-469, June.
    3. Sandra Schmidt & Dieter Nautz, 2012. "Central Bank Communication and the Perception of Monetary Policy by Financial Market Experts," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(2‐3), pages 323-340, March.
    4. Brückbauer, Frank & Schröder, Michael, 2021. "Data resource profile: The ZEW FMS dataset," ZEW Discussion Papers 21-100, ZEW - Leibniz Centre for European Economic Research.
    5. Schmidt, Sandra, 2010. "Wie Finanzmarktexperten die Geldpolitik der EZB wahrnehmen," ZEW Wachstums- und Konjunkturanalysen, ZEW - Leibniz Centre for European Economic Research, vol. 13(3), pages 6-7.

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    More about this item

    Keywords

    Higher-order expectations; stock market forecasts; forecaster heterogeneity;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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