IDEAS home Printed from https://ideas.repec.org/p/hal/wpaper/hal-01954921.html
   My bibliography  Save this paper

Another law of small numbers: patterns of trading prices in experimental markets

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

Conventional finance models indicate that the magnitude of stock prices should not influence portfolio choices or future returns. This view is contradicted, however, by empirical evidence. In this paper, we report the results of an experiment showing that trading prices, in experimental markets, are processed differently by participants, depending on their magnitude. Our experiment has two consecutive treatments. One where the fundamental value is a small number (the small price market) and a second one where the fundamental value is a large number (the large price market). Small price markets exhibit greater mispricing than large price markets. We obtain this result both between-participants and within-participants. Our findings show that price magnitude influences the way people perceive the distribution of future returns. This result is at odds with standard finance theory but is consistent with: (1) a number of observations in the empirical finance and accounting literature; and (2) evidence in neuropsychology on the use of different mental scales for small and large numbers.

Suggested Citation

  • 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.
  • Handle: RePEc:hal:wpaper:hal-01954921
    Note: View the original document on HAL open archive server: https://hal.science/hal-01954921
    as

    Download full text from publisher

    File URL: https://hal.science/hal-01954921/document
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Fehr, Ernst & Tyran, Jean-Robert, 2007. "Money illusion and coordination failure," Games and Economic Behavior, Elsevier, vol. 58(2), pages 246-268, February.
    2. David Reinstein & Gerhard Riener, 2012. "Decomposing desert and tangibility effects in a charitable giving experiment," Experimental Economics, Springer;Economic Science Association, vol. 15(1), pages 229-240, March.
    3. Louis H. Fritzemeier, 1936. "Relative Price Fluctuations of Industrial Stocks in Different Price Groups," The Journal of Business, University of Chicago Press, vol. 9, pages 133-133.
    4. Birru, Justin & Wang, Baolian, 2016. "Nominal price illusion," Journal of Financial Economics, Elsevier, vol. 119(3), pages 578-598.
    5. Kumar, Alok & Page, Jeremy K. & Spalt, Oliver G., 2011. "Religious beliefs, gambling attitudes, and financial market outcomes," Journal of Financial Economics, Elsevier, vol. 102(3), pages 671-708.
    6. Paul Schultz, 2000. "Stock Splits, Tick Size, and Sponsorship," Journal of Finance, American Finance Association, vol. 55(1), pages 429-450, February.
    7. 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.
    8. 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.
    9. Green, T. Clifton & Hwang, Byoung-Hyoun, 2009. "Price-based return comovement," Journal of Financial Economics, Elsevier, vol. 93(1), pages 37-50, July.
    10. Kumar, Alok & Page, Jeremy K. & Spalt, Oliver G., 2016. "Gambling and Comovement," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 51(1), pages 85-111, February.
    11. 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.
    12. Daniel Dorn & Paul Sengmueller, 2009. "Trading as Entertainment?," Management Science, INFORMS, vol. 55(4), pages 591-603, April.
    13. Alok Kumar, 2009. "Who Gambles in the Stock Market?," Journal of Finance, American Finance Association, vol. 64(4), pages 1889-1933, August.
    14. 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.
    15. 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.
    16. 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.
    17. John C. Clendenin, 1951. "Quality Versus Price As Factors Influencing Common Stock Price Fluctuations," Journal of Finance, American Finance Association, vol. 6(4), pages 398-405, December.
    18. Andreas C. Drichoutis & Jayson L. Lusk & Rodolfo M. Nayga, 2015. "The veil of experimental currency units in second price auctions," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 1(2), pages 182-196, December.
    19. Pinches, George E. & Simon, Gary M., 1972. "An Analysis of Portfolio Accumulation Strategies Employing Low-Priced Common Stocks," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 7(3), pages 1773-1796, June.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. Michèle M M Mazzocco & Lisa Feigenson & Justin Halberda, 2011. "Preschoolers' Precision of the Approximate Number System Predicts Later School Mathematics Performance," PLOS ONE, Public Library of Science, vol. 6(9), pages 1-8, September.
    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. 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.
    2. Borsboom, Charlotte & Füllbrunn, Sascha, 2021. "Stock Price Level Effect," MPRA Paper 109286, University Library of Munich, Germany.

    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. 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.
    2. Roger, Tristan & Roger, Patrick & Willinger, Marc, 2022. "Number sense, trading decisions and mispricing: An experiment," Journal of Economic Dynamics and Control, Elsevier, vol. 135(C).
    3. Bousselmi, Wael & Sentis, Patrick & Willinger, Marc, 2019. "How do markets react to (un)expected fundamental value shocks? An experimental analysis," Journal of Behavioral and Experimental Finance, Elsevier, vol. 23(C), pages 90-113.
    4. Hu, Conghui & Lin, Ji-Chai & Liu, Yu-Jane, 2022. "What are the benefits of attracting gambling investors? Evidence from stock splits in China," Journal of Corporate Finance, Elsevier, vol. 74(C).
    5. Merl, Robert & Stöckl, Thomas & Palan, Stefan, 2023. "Insider trading regulation and shorting constraints. Evaluating the joint effects of two market interventions," Journal of Banking & Finance, Elsevier, vol. 154(C).
    6. Mustafa Disli & Koen Inghelbrecht & Koen Schoors & Hannes Stieperaere, 2019. "Stock Price Anchoring," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 19/966, Ghent University, Faculty of Economics and Business Administration.
    7. Razen, Michael & Huber, Jürgen & Kirchler, Michael, 2017. "Cash inflow and trading horizon in asset markets," European Economic Review, Elsevier, vol. 92(C), pages 359-384.
    8. Zhengyang Bao & Andreas Leibbrandt & ple391, 2019. "Thar she resurges: The case of assets that lack positive fundamental value," Monash Economics Working Papers 12-19, Monash University, Department of Economics.
    9. Loukas Balafoutas & Simon Czermak & Marc Eulerich & Helena Fornwagner, 2020. "Incentives For Dishonesty: An Experimental Study With Internal Auditors," Economic Inquiry, Western Economic Association International, vol. 58(2), pages 764-779, April.
    10. Shinichi Hirota & Juergen Huber & Thomas Stock & Shyam Sunder, 2018. "Speculation and Price Indeterminacy in Financial Markets: An Experimental Study," Cowles Foundation Discussion Papers 2134, Cowles Foundation for Research in Economics, Yale University.
    11. Michael Razen & Jürgen Huber & Michael Kirchler, 2016. "Cash Inflow and Trading Horizon in Asset Markets," Working Papers 2016-06, Faculty of Economics and Statistics, Universität Innsbruck.
    12. 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.
    13. Borsboom, Charlotte & Füllbrunn, Sascha, 2021. "Stock Price Level Effect," MPRA Paper 109286, University Library of Munich, Germany.
    14. 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.
    15. Bao, Zhengyang & Kalaycı, Kenan & Leibbrandt, Andreas & Oyarzun, Carlos, 2020. "Do regulations work? A comprehensive analysis of price limits and trading restrictions in experimental asset markets with deterministic and stochastic fundamental values," Journal of Economic Behavior & Organization, Elsevier, vol. 178(C), pages 59-84.
    16. Adam Zaremba & Jacob Koby Shemer, 2018. "Price-Based Investment Strategies," Springer Books, Springer, number 978-3-319-91530-2, September.
    17. Métais, Carole & Roger, Tristan, 2022. "Are retail investors less aggressive on small price stocks?," Journal of Financial Markets, Elsevier, vol. 59(PA).
    18. Jürgen Huber & Michael Kirchler & Thomas Stöckl, 2016. "The influence of investment experience on market prices: laboratory evidence," Experimental Economics, Springer;Economic Science Association, vol. 19(2), pages 394-411, June.
    19. Jasiniak Magdalena, 2018. "Determinants of Investment Decisions on the Capital Market," Financial Internet Quarterly (formerly e-Finanse), Sciendo, vol. 14(2), pages 1-8, June.
    20. Corgnet, Brice & Hernán-González, Roberto & Kujal, Praveen, 2020. "On booms that never bust: Ambiguity in experimental asset markets with bubbles," Journal of Economic Dynamics and Control, Elsevier, vol. 110(C).

    More about this item

    Keywords

    behavioral bias; experimental markets; mental scales; number perception; stock price magnitude;
    All these keywords.

    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:hal:wpaper:hal-01954921. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.