IDEAS home Printed from https://ideas.repec.org/p/eti/dpaper/18008.html
   My bibliography  Save this paper

Losses on Asset Returns Caused by Perception Gaps of Fundamental Values: Evidence from laboratory experiments

Author

Listed:
  • HIGASHIDA Keisaku
  • TANAKA Kenta
  • MANAGI Shunsuke

Abstract

A large number of studies have tackled the question of asset bubbles, in which whether or not market participants are able to calculate fundamental values is considered to play a key role in reducing bubbles. Contrary to the existing literature on uncertainty, this study conducts a series of laboratory experiments, wherein subjects cannot calculate objective expected returns with certainty. In such cases, gaps between objective and subjective expected returns (perception gaps) arise. The purpose of this study is to clarify (i) how asset prices fluctuate and (ii) if perception gaps lead to inefficient transactions. Moreover, (iii) we estimate the losses caused by perception gaps. Our estimation results indicate that perception gaps linger across rounds, and, accordingly, these gaps may generate earnings losses. Moreover, we find that the greater a perception gap of a subject, the greater is the inefficiency from his/her transactions. Traders now are using artificial intelligence (AI) for decision making. We also discuss policy implications on the introduction of AI into asset markets.

Suggested Citation

  • HIGASHIDA Keisaku & TANAKA Kenta & MANAGI Shunsuke, 2018. "Losses on Asset Returns Caused by Perception Gaps of Fundamental Values: Evidence from laboratory experiments," Discussion papers 18008, Research Institute of Economy, Trade and Industry (RIETI).
  • Handle: RePEc:eti:dpaper:18008
    as

    Download full text from publisher

    File URL: https://www.rieti.go.jp/jp/publications/dp/18e008.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Füllbrunn, Sascha & Rau, Holger A. & Weitzel, Utz, 2014. "Does ambiguity aversion survive in experimental asset markets?," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PB), pages 810-826.
    2. 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.
    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. Miller, Ross M., 2008. "Don't let your robots grow up to be traders: Artificial intelligence, human intelligence, and asset-market bubbles," Journal of Economic Behavior & Organization, Elsevier, vol. 68(1), pages 153-166, October.
    5. Lugovskyy, Volodymyr & Puzzello, Daniela & Tucker, Steven & Williams, Arlington, 2014. "Asset-holdings caps and bubbles in experimental asset markets," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PB), pages 781-797.
    6. Alonso, Irasema & Prado, Mauricio, 2015. "Ambiguity aversion, asset prices, and the welfare costs of aggregate fluctuations," Journal of Economic Dynamics and Control, Elsevier, vol. 51(C), pages 78-92.
    7. John Duffy & M. Ünver, 2006. "Asset price bubbles and crashes with near-zero-intelligence traders," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 27(3), pages 537-563, April.
    8. Tomomi Tanaka & Colin F. Camerer & Quang Nguyen, 2010. "Risk and Time Preferences: Linking Experimental and Household Survey Data from Vietnam," American Economic Review, American Economic Association, vol. 100(1), pages 557-571, March.
    9. Glenn W. Harrison, 1992. "Market Dynamics, Programmed Traders and Futures Markets: Beginning the Laboratory Search for a Smoking Gun," The Economic Record, The Economic Society of Australia, vol. 68(S1), pages 46-62, December.
    10. Sean M Collins & Alisa G. Brink, 2016. "Fundamentals, momentum, and bubbles in experimental asset markets," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 8(1), pages 17-38, June.
    11. 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.
    12. Quang Nguyen & Colin Camerer & Tomomi Tanaka, 2010. "Risk and Time Preferences Linking Experimental and Household Data from Vietnam," Post-Print halshs-00547090, HAL.
    13. Beltrametti, Luca & Fiorentini, Riccardo & Marengo, Luigi & Tamborini, Roberto, 1997. "A learning-to-forecast experiment on the foreign exchange market with a classifier system," Journal of Economic Dynamics and Control, Elsevier, vol. 21(8-9), pages 1543-1575, June.
    14. Hogarth, Robin M & Kunreuther, Howard, 1989. "Risk, Ambiguity, and Insurance," Journal of Risk and Uncertainty, Springer, vol. 2(1), pages 5-35, April.
    15. repec:bla:ecorec:v:0:y:1992:i:0:p:46-62 is not listed on IDEAS
    16. 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.
    17. Jürgen Huber & Michael Kirchler, 2012. "The impact of instructions and procedure on reducing confusion and bubbles in experimental asset markets," Experimental Economics, Springer;Economic Science Association, vol. 15(1), pages 89-105, March.
    18. Vickie Bajtelsmit & Jennifer Coats & Paul Thistle, 2015. "The effect of ambiguity on risk management choices: An experimental study," Journal of Risk and Uncertainty, Springer, vol. 50(3), pages 249-280, June.
    Full references (including those not matched with items on IDEAS)

    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. 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.
    2. 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.
    3. Timothy N. Cason & Anya Samek, 2015. "Learning through passive participation in asset market bubbles," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 1(2), pages 170-181, December.
    4. 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.
    5. Eizo Akiyama & Nobuyuki Hanaki & Ryuchiro Ishikawa, 2012. "Effect of uncertainty about others’ rationality in experimental asset markets," AMSE Working Papers 1234, Aix-Marseille School of Economics, France.
    6. Eizo Akiyama & Nobuyuki Hanaki & Ryuichiro Ishikawa, 2012. "Effect of Uncertainty about Others' Rationality in Experimental Asset Markets: An Experimental Analysis," Working Papers halshs-00793613, HAL.
    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. 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.
    10. 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.
    11. Baghestanian, Sascha & Walker, Todd B., 2015. "Anchoring in experimental asset markets," Journal of Economic Behavior & Organization, Elsevier, vol. 116(C), pages 15-25.
    12. 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.
    13. Shestakova, Natalia & Powell, Owen & Gladyrev, Dmitry, 2019. "Bubbles, experience and success," Journal of Behavioral and Experimental Finance, Elsevier, vol. 22(C), pages 206-213.
    14. 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.
    15. 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).
    16. Nuzzo, Simone & Morone, Andrea, 2017. "Asset markets in the lab: A literature review," Journal of Behavioral and Experimental Finance, Elsevier, vol. 13(C), pages 42-50.
    17. Ciril Bosch-Rosa & Thomas Meissner & Antoni Bosch-Domènech, 2018. "Cognitive bubbles," Experimental Economics, Springer;Economic Science Association, vol. 21(1), pages 132-153, March.
    18. Stephen Cheung & Stefan Palan, 2012. "Two heads are less bubbly than one: team decision-making in an experimental asset market," Experimental Economics, Springer;Economic Science Association, vol. 15(3), pages 373-397, September.
    19. Te Bao & Cars Hommes & Tomasz Makarewicz, 2017. "Bubble Formation and (In)Efficient Markets in Learning‐to‐forecast and optimise Experiments," Economic Journal, Royal Economic Society, vol. 127(605), pages 581-609, October.
    20. Hong, Jieying & Moinas, Sophie & Pouget, Sébastien, 2021. "Learning in speculative bubbles: Theory and experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 185(C), pages 1-26.

    More about this item

    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:eti:dpaper:18008. 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: TANIMOTO, Toko (email available below). General contact details of provider: https://edirc.repec.org/data/rietijp.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.