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The effect of price magnitude on analysts' forecasts: evidence from the lab

Author

Listed:
  • Tristan Roger

    (DRM-Finance - DRM - Dauphine Recherches en Management - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres - CNRS - Centre National de la Recherche Scientifique)

  • Wael Bousselmi

    (CREST - Centre de Recherche en Economie et Statistique [Bruz] - ENSAI - Ecole Nationale de la Statistique et de l'Analyse de l'Information [Bruz])

  • Patrick Roger

    (LARGE - Laboratoire de recherche en gestion et économie - UNISTRA - Université de Strasbourg - L'europe en mutation : histoire, droit, économie et identités culturelles - UNISTRA - Université de Strasbourg - CNRS - Centre National de la Recherche Scientifique)

  • Marc Willinger

    (CEE-M - Centre d'Economie de l'Environnement - Montpellier - FRE2010 - INRA - Institut National de la Recherche Agronomique - UM - Université de Montpellier - CNRS - Centre National de la Recherche Scientifique - Montpellier SupAgro - Institut national d’études supérieures agronomiques de Montpellier)

Abstract

Recent research in finance shows that the magnitude of stock prices influences analysts' price forecasts (Roger et al., 2018). In this paper, we report the results o fa novel experiment where some of the participants in a continuous double auction market act as analysts and forecast future prices. Participants engage in two successive markets: one in which the fundamental value is a small price and one in which the fundamental value is a large price. Our results indicate that analysts' forecasts are more optimistic in small price markets compared to large price markets. We also find that analysts strongly anchor on past price trends when building their price forecasts. Overall, our findings support the existence of a small price bias.

Suggested Citation

  • Tristan Roger & Wael Bousselmi & Patrick Roger & Marc Willinger, 2018. "The effect of price magnitude on analysts' forecasts: evidence from the lab," Working Papers hal-01954919, HAL.
    • Handle: RePEc:hal:wpaper:hal-01954919
    Note: View the original document on HAL open archive server: https://hal.science/hal-01954919
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    References listed on IDEAS

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    1. Lei, Vivian & Noussair, Charles N & Plott, Charles R, 2001. "Nonspeculative Bubbles in Experimental Asset Markets: Lack of Common Knowledge of Rationality vs. Actual Irrationality," Econometrica, Econometric Society, vol. 69(4), pages 831-859, July.
    2. Roger, Tristan & Roger, Patrick & Schatt, Alain, 2018. "Behavioral bias in number processing: Evidence from analysts’ expectations," Journal of Economic Behavior & Organization, Elsevier, vol. 149(C), pages 315-331.
    3. repec:bla:jfinan:v:58:y:2003:i:5:p:1933-1968 is not listed on IDEAS
    4. Tristan Roger & Wael Bousselmi & Patrick Roger & Marc Willinger, 2018. "Another law of small numbers: patterns of trading prices in experimental markets," Working Papers hal-01954921, HAL.
    5. Birru, Justin & Wang, Baolian, 2016. "Nominal price illusion," Journal of Financial Economics, Elsevier, vol. 119(3), pages 578-598.
    6. Tristan Roger & Wael Bousselmi & Patrick Roger & Marc Willinger, 2018. "Another law of small numbers: patterns of trading prices in experimental markets," Working Papers hal-01954921, HAL.
    7. Ernan Haruvy & Charles N. Noussair, 2006. "The Effect of Short Selling on Bubbles and Crashes in Experimental Spot Asset Markets," Journal of Finance, American Finance Association, vol. 61(3), pages 1119-1157, June.
    8. 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.
    9. Li, Jun & Yu, Jianfeng, 2012. "Investor attention, psychological anchors, and stock return predictability," Journal of Financial Economics, Elsevier, vol. 104(2), pages 401-419.
    10. Donald L. Keefer & Samuel E. Bodily, 1983. "Three-Point Approximations for Continuous Random Variables," Management Science, INFORMS, vol. 29(5), pages 595-609, May.
    11. Nicholas Barberis & Abhiroop Mukherjee & Baolian Wang, 2016. "Prospect Theory and Stock Returns: An Empirical Test," The Review of Financial Studies, Society for Financial Studies, vol. 29(11), pages 3068-3107.
    12. Charles N. Noussair & Gregers Richter & Jean-Robert Tyran, 2008. "Money Illusion and Nominal Inertia in Experimental Asset Markets," Discussion Papers 08-29, University of Copenhagen. Department of Economics.
    13. 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.
    14. Smith, Vernon L & Suchanek, Gerry L & Williams, Arlington W, 1988. "Bubbles, Crashes, and Endogenous Expectations in Experimental Spot Asset Markets," Econometrica, Econometric Society, vol. 56(5), pages 1119-1151, September.
    15. Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer;Economic Science Association, vol. 10(2), pages 171-178, June.
    16. Kirchler, Michael, 2009. "Underreaction to fundamental information and asymmetry in mispricing between bullish and bearish markets. An experimental study," Journal of Economic Dynamics and Control, Elsevier, vol. 33(2), pages 491-506, February.
    17. Charles N. Noussair & Steven Tucker, 2016. "Cash Inflows And Bubbles In Asset Markets With Constant Fundamental Values," Economic Inquiry, Western Economic Association International, vol. 54(3), pages 1596-1606, July.
    18. Green, T. Clifton & Hwang, Byoung-Hyoun, 2009. "Price-based return comovement," Journal of Financial Economics, Elsevier, vol. 93(1), pages 37-50, July.
    19. Thomas Stöckl & Jürgen Huber & Michael Kirchler, 2010. "Bubble measures in experimental asset markets," Experimental Economics, Springer;Economic Science Association, vol. 13(3), pages 284-298, September.
    20. Thomas Stöckl & Jürgen Huber & Michael Kirchler, 2015. "Erratum to: Multi-period experimental asset markets with distinct fundamental value regimes," Experimental Economics, Springer;Economic Science Association, vol. 18(4), pages 756-759, December.
    21. Dean Johnson & Patrick Joyce, 2012. "Bubbles and Crashes Revisited," Review of Economics & Finance, Better Advances Press, Canada, vol. 2, pages 29-42, August.
    22. Thomas Stöckl & Jürgen Huber & Michael Kirchler, 2015. "Multi-period experimental asset markets with distinct fundamental value regimes," Experimental Economics, Springer;Economic Science Association, vol. 18(2), pages 314-334, June.
    23. Charles Noussair & Stephane Robin & Bernard Ruffieux, 2001. "Price Bubbles in Laboratory Asset Markets with Constant Fundamental Values," Experimental Economics, Springer;Economic Science Association, vol. 4(1), pages 87-105, June.
    24. Noussair, Charles N. & Tucker, Steven & Xu, Yilong, 2016. "Futures markets, cognitive ability, and mispricing in experimental asset markets," Journal of Economic Behavior & Organization, Elsevier, vol. 130(C), pages 166-179.
    25. Malcolm Baker & Robin Greenwood & Jeffrey Wurgler, 2009. "Catering through Nominal Share Prices," Journal of Finance, American Finance Association, vol. 64(6), pages 2559-2590, December.
    26. Ann B. Gillette & Douglas E. Stevens & Susan G. Watts & Arlington W. Williams, 1999. "Price and Volume Reactions to Public Information Releases: An Experimental Approach Incorporating Traders' Subjective Beliefs," Contemporary Accounting Research, John Wiley & Sons, vol. 16(3), pages 437-479, September.
    27. Giusti, Giovanni & Jiang, Janet Hua & Xu, Yiping, 2012. "Eliminating Laboratory Asset Bubbles by Paying Interest on Cash," MPRA Paper 37321, University Library of Munich, Germany.
    28. Van Boening, Mark V. & Williams, Arlington W. & LaMaster, Shawn, 1993. "Price bubbles and crashes in experimental call markets," Economics Letters, Elsevier, vol. 41(2), pages 179-185.
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