IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/57672.html
   My bibliography  Save this paper

Are You Experienced?

Author

Listed:
  • Shachat, Jason
  • Wang, Hang

Abstract

We evaluate how traders' asset market activities are distributed in time impacts pricing efficiency, volume, and individual portfolio holdings. Through the first controlled experiment on such timing, we find that cohorts who participate in a sequence of three markets in a single experimental session generate more mispricing and bubbles - but the same trade volume and variability in portfolio values - than cohorts whose three markets are spaced a week apart. We further find that experience gained through spaced repetitions, as opposed to massed repetitions, leads to smaller price bubbles when subjects are recruited to a new cohort and participate in a market for a different asset.

Suggested Citation

  • Shachat, Jason & Wang, Hang, 2014. "Are You Experienced?," MPRA Paper 57672, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:57672
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/57672/1/MPRA_paper_57672.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Janiszewski, Chris & Noel, Hayden & Sawyer, Alan G, 2003. "A Meta-analysis of the Spacing Effect in Verbal Learning: Implications for Research on Advertising Repetition and Consumer Memory," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 30(1), pages 138-149, June.
    2. Amit Seru & Tyler Shumway & Noah Stoffman, 2010. "Learning by Trading," The Review of Financial Studies, Society for Financial Studies, vol. 23(2), pages 705-739, February.
    3. Martin Dufwenberg & Tobias Lindqvist & Evan Moore, 2005. "Bubbles and Experience: An Experiment," American Economic Review, American Economic Association, vol. 95(5), pages 1731-1737, December.
    4. Nicolosi, Gina & Peng, Liang & Zhu, Ning, 2009. "Do individual investors learn from their trading experience?," Journal of Financial Markets, Elsevier, vol. 12(2), pages 317-336, May.
    5. Lei Feng & Mark Seasholes, 2005. "Do Investor Sophistication and Trading Experience Eliminate Behavioral Biases in Financial Markets?," Review of Finance, Springer, vol. 9(3), pages 305-351, September.
    6. Greiner, Ben, 2004. "An Online Recruitment System for Economic Experiments," MPRA Paper 13513, University Library of Munich, Germany.
    7. Greenwood, Robin & Nagel, Stefan, 2009. "Inexperienced investors and bubbles," Journal of Financial Economics, Elsevier, vol. 93(2), pages 239-258, August.
    8. Porter, David P & Smith, Vernon L, 1995. "Futures Contracting and Dividend Uncertainty in Experimental Asset Markets," The Journal of Business, University of Chicago Press, vol. 68(4), pages 509-541, October.
    9. George M Korniotis & Alok Kumar, 2011. "Do Older Investors Make Better Investment Decisions?," The Review of Economics and Statistics, MIT Press, vol. 93(1), pages 244-265, February.
    10. 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.
    11. Michael Kirchler & Jurgen Huber & Thomas Stockl, 2012. "Thar She Bursts: Reducing Confusion Reduces Bubbles," American Economic Review, American Economic Association, vol. 102(2), pages 865-883, April.
    12. Lei Feng & Mark S. Seasholes, 2005. "Do Investor Sophistication and Trading Experience Eliminate Behavioral Biases in Financial Markets?," Review of Finance, European Finance Association, vol. 9(3), pages 305-351.
    13. 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.
    14. 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.
    15. 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.
    16. Stefan Palan, 2013. "A Review Of Bubbles And Crashes In Experimental Asset Markets," Journal of Economic Surveys, Wiley Blackwell, vol. 27(3), pages 570-588, July.
    17. 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.
    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. Palan, Stefan & Stöckl, Thomas, 2017. "When chasing the offender hurts the victim: The case of insider legislation," Journal of Financial Markets, Elsevier, vol. 35(C), pages 104-129.
    2. Kleinlercher, Daniel & Stöckl, Thomas, 2021. "Thou shalt not trade—An analysis of the violations of no-trade predictions in experimental asset markets," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).

    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. 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.
    2. Huan Xie & Jipeng Zhang, 2016. "Bubbles and experience: An experiment with a steady inflow of new traders," Southern Economic Journal, John Wiley & Sons, vol. 82(4), pages 1349-1373, April.
    3. Cheung, Stephen L. & Hedegaard, Morten & Palan, Stefan, 2014. "To see is to believe: Common expectations in experimental asset markets," European Economic Review, Elsevier, vol. 66(C), pages 84-96.
    4. Stephen L. Cheung & Andrew Coleman, 2014. "Relative Performance Incentives and Price Bubbles in Experimental Asset Markets," Southern Economic Journal, John Wiley & Sons, vol. 81(2), pages 345-363, October.
    5. Ciril Bosch-Rosa & Thomas Meissner & Antoni Bosch-Domènech, 2018. "Cognitive bubbles," Experimental Economics, Springer;Economic Science Association, vol. 21(1), pages 132-153, March.
    6. Akiyama, Eizo & Hanaki, Nobuyuki & Ishikawa, Ryuichiro, 2014. "How do experienced traders respond to inflows of inexperienced traders? An experimental analysis," Journal of Economic Dynamics and Control, Elsevier, vol. 45(C), pages 1-18.
    7. 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.
    8. Eizo Akiyama & Nobuyuki Hanaki & Ryuichiro Ishikawa, 2017. "It is Not Just Confusion! Strategic Uncertainty in An Experimental Asset Market," Economic Journal, Royal Economic Society, vol. 127(605), pages 563-580, October.
    9. 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.
    10. Amos Nadler & Peiran Jiao & Cameron J. Johnson & Veronika Alexander & Paul J. Zak, 2019. "The Bull of Wall Street: Experimental Analysis of Testosterone and Asset Trading," Management Science, INFORMS, vol. 64(9), pages 4032-4051, September.
    11. Duan, Jieyi & Hanaki, Nobuyuki, 2023. "The impact of asset purchases in an experimental market with consumption smoothing motives," Journal of Economic Dynamics and Control, Elsevier, vol. 156(C).
    12. Halim, Edward & Riyanto, Yohanes Eko & Roy, Nilanjan, 2016. "Price Dynamics and Consumption Smoothing in Experimental Asset Markets," MPRA Paper 71631, University Library of Munich, Germany.
    13. Michael Kirchler & Jurgen Huber & Thomas Stockl, 2012. "Thar She Bursts: Reducing Confusion Reduces Bubbles," American Economic Review, American Economic Association, vol. 102(2), pages 865-883, April.
    14. Cary Deck & Maroš Servátka & Steven Tucker, 2020. "Designing Call Auction Institutions to Eliminate Price Bubbles: Is English Dutch the Best?," American Economic Review: Insights, American Economic Association, vol. 2(2), pages 225-236, June.
    15. Giovanni Giusti & Janet Hua Jiang & Yiping Xu, 2014. "Interest on Cash, Fundamental Value Process and Bubble Formation on Experimental Asset Markets," Staff Working Papers 14-18, Bank of Canada.
    16. Halim, Edward & Riyanto, Yohanes E. & Roy, Nilanjan, 2022. "Sharing idiosyncratic risk even though prices are “wrong”," Journal of Economic Theory, Elsevier, vol. 200(C).
    17. Baghestanian, S. & Lugovskyy, V. & Puzzello, D., 2015. "Traders’ heterogeneity and bubble-crash patterns in experimental asset markets," Journal of Economic Behavior & Organization, Elsevier, vol. 117(C), pages 82-101.
    18. Fischbacher, Urs & Hens, Thorsten & Zeisberger, Stefan, 2013. "The impact of monetary policy on stock market bubbles and trading behavior: Evidence from the lab," Journal of Economic Dynamics and Control, Elsevier, vol. 37(10), pages 2104-2122.
    19. 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.
    20. Zhengyang Bao & Kenan Kalayci & Andreas Leibbrandt & Carlos Oyarzun, 2019. "Regulating Bubbles Away?Experiment-Based Evidence of Price Limits and Trading Restrictions in Asset Markets with Deterministic and Stochastic Fundamental Values," Monash Economics Working Papers 14-18, Monash University, Department of Economics.

    More about this item

    Keywords

    Spacing effects; learning; asset market; bubble; laboratory experiment;
    All these keywords.

    JEL classification:

    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

    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:pra:mprapa:57672. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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.