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The effect of reliability, content and timing of public announcements on asset trading behavior

Author

Listed:
  • Brice Corgnet

    (UNAV - Universidad de Navarra [Pamplona], LESSAC - Laboratoire d'Expérimentation en Sciences Sociales et Analyse des Comportements - BSB - Burgundy School of Business (BSB) - Ecole Supérieure de Commerce de Dijon Bourgogne (ESC))

  • Praveen Kujal

    (UC3M - Universidad Carlos III de Madrid [Madrid])

  • David Porter

    (Chapman University)

Abstract

Financial markets are overwhelmed by daily announcements. We use experimental asset markets to assess the impact of releasing public messages with different levels of reliability on asset prices. Subjects receive qualitative announcements in predetermined trading periods that are either preset by the experimenter, randomly selected, or determined by past asset market prices. We find that messages can play a significant role in bubble abatement, or rekindling. The preset message, "The price is too high," decreases the amplitude and duration of bubbles for inexperienced subjects. Announcements that depend on the actual level of mispricing reduce bubble magnitude. Meanwhile, a preset or random message, "The price is too low," prevents experienced subjects from abating bubbles. We account for the effect of public messages by showing that they significantly reduce inconsistent ("irrational") trading behavior.

Suggested Citation

  • Brice Corgnet & Praveen Kujal & David Porter, 2010. "The effect of reliability, content and timing of public announcements on asset trading behavior," Post-Print hal-02311959, HAL.
    • Handle: RePEc:hal:journl:hal-02311959
    DOI: 10.1016/j.jebo.2010.06.014
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    15. Reshmaan N. Hussam & David Porter & Vernon L. Smith, 2008. "Thar She Blows: Can Bubbles Be Rekindled with Experienced Subjects?," American Economic Review, American Economic Association, vol. 98(3), pages 924-937, June.
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    Cited by:

    1. Brice Corgnet & Roberto Hernán González & Praveen Kujal & David Porter, 2013. "The Effect of Earned vs. House Money on Price Bubble Formation in Experimental Asset Markets," Working Papers 13-04, Chapman University, Economic Science Institute.
    2. Sindhuja Ranganathan & Mikko Kivelä & Juho Kanniainen, 2018. "Dynamics of investor spanning trees around dot-com bubble," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-14, June.
    3. 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).
    4. Praveen Kujal & Owen Powell, 2017. "Bubbles in Experimental Asset Markets," Working Papers 17-01, Chapman University, Economic Science Institute.
    5. Cars Hommes & Anita Kopányi-Peuker & Joep Sonnemans, 2021. "Bubbles, crashes and information contagion in large-group asset market experiments," Experimental Economics, Springer;Economic Science Association, vol. 24(2), pages 414-433, June.
    6. Brice Corgnet & Roberto Hernán-González & Praveen Kujal & David Porter, 2015. "The Effect of Earned Versus House Money on Price Bubble Formation in Experimental Asset Markets," Review of Finance, European Finance Association, vol. 19(4), pages 1455-1488.
    7. Jonathan E. Alevy & Michael K. Price, 2017. "Advice in the marketplace: a laboratory study," Experimental Economics, Springer;Economic Science Association, vol. 20(1), pages 156-180, March.
    8. Tibor Neugebauer & Sascha Füllbrunn, 2013. "Deflating Bubbles in Experimental Asset Markets: Comparative Statics of Margin Regulations," LSF Research Working Paper Series 13-14, Luxembourg School of Finance, University of Luxembourg.
    9. Owen Powell & Natalia Shestakova, 2017. "Experimental asset markets: behavior and bubbles," Chapters, in: Morris Altman (ed.), Handbook of Behavioural Economics and Smart Decision-Making, chapter 21, pages 375-391, Edward Elgar Publishing.
    10. Sascha Füllbrunn & Tibor Neugebauer, 2012. "Margin Trading Bans in Experimental Asset Markets," Jena Economics Research Papers 2012-058, Friedrich-Schiller-University Jena.
    11. Palan, Stefan, 2010. "Digital options and efficiency in experimental asset markets," Journal of Economic Behavior & Organization, Elsevier, vol. 75(3), pages 506-522, September.
    12. Chmura, Thorsten & Le, Hang & Nguyen, Kim, 2022. "Herding with leading traders: Evidence from a laboratory social trading platform," Journal of Economic Behavior & Organization, Elsevier, vol. 203(C), pages 93-106.
    13. Aurora García-Gallego & Penélope Hernández-Rojas & Amalia Rodrigo-González, 2013. "Endogenous vs. Exogenous Transmission of Information: An Experiment," Working Papers 2013/06, Economics Department, Universitat Jaume I, Castellón (Spain).
    14. Lucy F. Ackert & Lei Jiang & Li Qi, 2016. "Experiments on Electronic Double Auctions and Abnormal Trades," Southern Economic Journal, John Wiley & Sons, vol. 83(1), pages 87-104, July.
    15. Sindhuja Ranganathan & Mikko Kivela & Juho Kanniainen, 2017. "Dynamics of Investor Spanning Trees Around Dot-Com Bubble," Papers 1708.04430, arXiv.org.
    16. 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.
    17. repec:grz:wpsses:2013-04 is not listed on IDEAS

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    More about this item

    Keywords

    Experimental asset markets; Bubbles; Market communications; Bounded rationality;
    All these keywords.

    JEL classification:

    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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