IDEAS home Printed from https://ideas.repec.org/a/kap/compec/v48y2016i3d10.1007_s10614-015-9532-5.html
   My bibliography  Save this article

Additional Information Increases Uncertainty in the Securities Market: Using both Laboratory and fMRI Experiments

Author

Listed:
  • Hidetoshi Yamaji

    (Kobe University)

  • Masatoshi Gotoh

    (Kobe University)

  • Yoshinori Yamakawa

    (NTT Data Institute of Management Consulting, Inc.)

Abstract

The paper first tries to replicate experiments by Huber (J Econ Dyn Control 31:2536–2572, 2007) and Huber et al. (J Econ Behav Org 65:86–104, 2008), which show that in double auction markets with uneven information distribution that is common knowledge, returns are a J-shaped function of the information known by different investors. Huber proposed the pattern of future earnings as the reason of J-shaped function. But our paper secondly asserts the psychological state of personal investor as the reason. It also asserts that the psychological state of personal investor often destroys efficient market. Functional magnetic resonance imaging scans of subjects in a simple game indicate that subjects with medium amounts of information use different brain areas. The paper argues that these patterns are consistent with medium-informed investors using Matching Law strategy rather than the maximizing strategy of the least and best informed investors. The paper motivates an accounting connection by remarking that financial statement disclosure is mandated in most developed stock markets.

Suggested Citation

  • Hidetoshi Yamaji & Masatoshi Gotoh & Yoshinori Yamakawa, 2016. "Additional Information Increases Uncertainty in the Securities Market: Using both Laboratory and fMRI Experiments," Computational Economics, Springer;Society for Computational Economics, vol. 48(3), pages 425-451, October.
  • Handle: RePEc:kap:compec:v:48:y:2016:i:3:d:10.1007_s10614-015-9532-5
    DOI: 10.1007/s10614-015-9532-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10614-015-9532-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10614-015-9532-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Grossman, Sanford J & Stiglitz, Joseph E, 1980. "On the Impossibility of Informationally Efficient Markets," American Economic Review, American Economic Association, vol. 70(3), pages 393-408, June.
    2. David Hirshleifer, 2001. "Investor Psychology and Asset Pricing," Journal of Finance, American Finance Association, vol. 56(4), pages 1533-1597, August.
    3. Smith, Vernon L, 1976. "Experimental Economics: Induced Value Theory," American Economic Review, American Economic Association, vol. 66(2), pages 274-279, May.
    4. Plott, Charles R & Sunder, Shyam, 1982. "Efficiency of Experimental Security Markets with Insider Information: An Application of Rational-Expectations Models," Journal of Political Economy, University of Chicago Press, vol. 90(4), pages 663-698, August.
    5. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    6. Vernon L. Smith, 2003. "Constructivist and Ecological Rationality in Economics," American Economic Review, American Economic Association, vol. 93(3), pages 465-508, June.
    7. Ball, Ray, 1978. "Anomalies in relationships between securities' yields and yield-surrogates," Journal of Financial Economics, Elsevier, vol. 6(2-3), pages 103-126.
    8. Bloomfield, R & Libby, R, 1996. "Market reactions to differentially available information in the laboratory," Journal of Accounting Research, Wiley Blackwell, vol. 34(2), pages 183-207.
    9. Plott, Charles R & Sunder, Shyam, 1988. "Rational Expectations and the Aggregation of Diverse Information in Laboratory Security Markets," Econometrica, Econometric Society, vol. 56(5), pages 1085-1118, September.
    10. Huber, Jurgen & Kirchler, Michael & Sutter, Matthias, 2008. "Is more information always better: Experimental financial markets with cumulative information," Journal of Economic Behavior & Organization, Elsevier, vol. 65(1), pages 86-104, January.
    11. Hidetoshi Yamaji & Masatoshi Gotoh, 2010. "Cognitive Bias in the Laboratory Security Market," Computational Economics, Springer;Society for Computational Economics, vol. 35(2), pages 101-126, February.
    12. Ou, Jane A. & Penman, Stephen H., 1989. "Financial statement analysis and the prediction of stock returns," Journal of Accounting and Economics, Elsevier, vol. 11(4), pages 295-329, November.
    13. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    14. Huber, Jurgen, 2007. "`J'-shaped returns to timing advantage in access to information - Experimental evidence and a tentative explanation," Journal of Economic Dynamics and Control, Elsevier, vol. 31(8), pages 2536-2572, August.
    15. Yutaka Sakai & Tomoki Fukai, 2008. "When Does Reward Maximization Lead to Matching Law?," PLOS ONE, Public Library of Science, vol. 3(11), pages 1-7, November.
    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. Javier Castro & Rosa Espínola & Inmaculada Gutiérrez & Daniel Gómez, 2023. "Auctions: A New Method for Selling Objects with Bimodal Density Functions," Computational Economics, Springer;Society for Computational Economics, vol. 61(4), pages 1707-1743, April.

    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. Daniel, Kent & Hirshleifer, David & Teoh, Siew Hong, 2002. "Investor psychology in capital markets: evidence and policy implications," Journal of Monetary Economics, Elsevier, vol. 49(1), pages 139-209, January.
    2. Richardson, Scott & Tuna, Irem & Wysocki, Peter, 2010. "Accounting anomalies and fundamental analysis: A review of recent research advances," Journal of Accounting and Economics, Elsevier, vol. 50(2-3), pages 410-454, December.
    3. James R. Marsden & Y. Alex Tung, 1999. "The Use of Information System Technology to Develop Tests on Insider Trading and Asymmetric Information," Management Science, INFORMS, vol. 45(8), pages 1025-1040, August.
    4. 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.
    5. Hidetoshi Yamaji & Masatoshi Gotoh, 2010. "Cognitive Bias in the Laboratory Security Market," Computational Economics, Springer;Society for Computational Economics, vol. 35(2), pages 101-126, February.
    6. Olivier Brandouy & Pascal Barneto, 1999. "Incertitude et fourchettes de prix sur un marché d'enchères:les apports du laboratoire," Revue Finance Contrôle Stratégie, revues.org, vol. 2(3), pages 87-113, September.
    7. Lawrence Choo & Todd R. Kaplan & Ro’i Zultan, 2019. "Information aggregation in Arrow–Debreu markets: an experiment," Experimental Economics, Springer;Economic Science Association, vol. 22(3), pages 625-652, September.
    8. Jason Shachat & Anand Srinivasan, 2022. "Informational Price Cascades and Non-Aggregation of Asymmetric Information in Experimental Asset Markets," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 23(4), pages 388-407, November.
    9. repec:grz:wpsses:2020-04 is not listed on IDEAS
    10. Corgnet, Brice & Deck, Cary & DeSantis, Mark & Porter, David, 2018. "Information (non)aggregation in markets with costly signal acquisition," Journal of Economic Behavior & Organization, Elsevier, vol. 154(C), pages 286-320.
    11. Giovanni Ferri & Andrea Morone, 2014. "The effect of rating agencies on herd behaviour," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 9(1), pages 107-127, April.
    12. Fernando Rubio, 2005. "Eficiencia De Mercado, Administracion De Carteras De Fondos Y Behavioural Finance," Finance 0503028, University Library of Munich, Germany, revised 23 Jul 2005.
    13. Merl, Robert, 2022. "Literature review of experimental asset markets with insiders," Journal of Behavioral and Experimental Finance, Elsevier, vol. 33(C).
    14. Stefan Palan & Jürgen Huber & Larissa Senninger, 2020. "Aggregation mechanisms for crowd predictions," Experimental Economics, Springer;Economic Science Association, vol. 23(3), pages 788-814, September.
    15. repec:grz:wpsses:2021-04 is not listed on IDEAS
    16. Weber, Martin & Welfens, Frank, 2007. "How do markets react to fundamental shocks? : An experimental analysis on underreaction and momentum," Papers 07-42, Sonderforschungsbreich 504.
    17. Weissensteiner, Alex, 2019. "Correlated noise: Why passive investment might improve market efficiency," Journal of Economic Behavior & Organization, Elsevier, vol. 158(C), pages 158-172.
    18. Charles N. Noussair & Steven Tucker, 2013. "Experimental Research On Asset Pricing," Journal of Economic Surveys, Wiley Blackwell, vol. 27(3), pages 554-569, July.
    19. Biais, Bruno & Glosten, Larry & Spatt, Chester, 2005. "Market microstructure: A survey of microfoundations, empirical results, and policy implications," Journal of Financial Markets, Elsevier, vol. 8(2), pages 217-264, May.
    20. Libby, Robert & Bloomfield, Robert & Nelson, Mark W., 2002. "Experimental research in financial accounting," Accounting, Organizations and Society, Elsevier, vol. 27(8), pages 775-810, November.
    21. Detlef Seese & Christof Weinhardt & Frank Schlottmann (ed.), 2008. "Handbook on Information Technology in Finance," International Handbooks on Information Systems, Springer, number 978-3-540-49487-4, November.
    22. Coller, Maribeth & Tuttle, Brad, 2002. "The acquisition of price-relevant domain knowledge by a market," Journal of Economic Psychology, Elsevier, vol. 23(1), pages 77-101, February.

    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:kap:compec:v:48:y:2016:i:3:d:10.1007_s10614-015-9532-5. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.