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Propensity to sell stocks in an artificial stock market

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Listed:
  • Wlademir Prates
  • Newton Da Costa Jr
  • Manuel Rocha Armada
  • Sergio Da Silva

Abstract

This experimental study of an artificial stock market investigates what explains the propensity to sell stocks and thus the disposition effect. It is a framed field experiment that follows the steps of a previous observational study of investor behavior in the Finnish stock market. Our experimental approach has an edge over the observational study in that it can control extraneous variables and two or more groups can be compared. We consider in particular the groups of amateur students and professional investors because it is well established in the literature that the disposition effect is less pronounced in professionals. The disposition effect was measured by both the traditional metric and a broader one that properly considers return intervals. A full logit model with control variables was employed in the latter case. As a result, we replicate for the broader definition what already has been found for the traditional measure: that investor experience dampens the disposition effect. Trades with positive returns exhibited higher propensity to sell than trades with negative returns. For the overall sample of participants, we find the disposition effect cannot be explained by prospect theory, but we cast doubt on this stance from partitions of data from amateurs and professionals.

Suggested Citation

  • Wlademir Prates & Newton Da Costa Jr & Manuel Rocha Armada & Sergio Da Silva, 2019. "Propensity to sell stocks in an artificial stock market," PLOS ONE, Public Library of Science, vol. 14(4), pages 1-12, April.
    • Handle: RePEc:plo:pone00:0215685
    DOI: 10.1371/journal.pone.0215685
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    References listed on IDEAS

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    1. Shefrin, Hersh, 2010. "Behavioralizing Finance," Foundations and Trends(R) in Finance, now publishers, vol. 4(1–2), pages 1-184, March.
    2. Kaustia, Markku, 2010. "Prospect Theory and the Disposition Effect," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 45(3), pages 791-812, June.
    3. Mark Grinblatt & Matti Keloharju, 2001. "What Makes Investors Trade?," Journal of Finance, American Finance Association, vol. 56(2), pages 589-616, April.
    4. Tesfatsion, Leigh & Judd, Kenneth L., 2006. "Handbook of Computational Economics, Vol. 2: Agent-Based Computational Economics," Staff General Research Papers Archive 10368, Iowa State University, Department of Economics.
    5. LeBaron, Blake, 2006. "Agent-based Computational Finance," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 24, pages 1187-1233, Elsevier.
    6. Terrance Odean, 1998. "Are Investors Reluctant to Realize Their Losses?," Journal of Finance, American Finance Association, vol. 53(5), pages 1775-1798, October.
    7. Leigh Tesfatsion & Kenneth L. Judd (ed.), 2006. "Handbook of Computational Economics," Handbook of Computational Economics, Elsevier, edition 1, volume 2, number 2.
    8. Haijun Yang & Harry Wang & Gui Sun & Li Wang, 2015. "A comparison of U.S and Chinese financial market microstructure: heterogeneous agent-based multi-asset artificial stock markets approach," Journal of Evolutionary Economics, Springer, vol. 25(5), pages 901-924, November.
    9. Da Costa, Newton & Goulart, Marco & Cupertino, Cesar & Macedo, Jurandir & Da Silva, Sergio, 2013. "The disposition effect and investor experience," Journal of Banking & Finance, Elsevier, vol. 37(5), pages 1669-1675.
    10. Dorow, Anderson & da Costa, Newton & Takase, Emilio & Prates, Wlademir & Da Silva, Sergio, 2018. "On the neural substrates of the disposition effect and return performance," Journal of Behavioral and Experimental Finance, Elsevier, vol. 17(C), pages 16-21.
    11. Haijun Yang & Shuheng Chen, 2018. "A heterogeneous artificial stock market model can benefit people against another financial crisis," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-25, June.
    12. Chen, Shu-Heng & Yeh, Chia-Hsuan, 2001. "Evolving traders and the business school with genetic programming: A new architecture of the agent-based artificial stock market," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 363-393, March.
    13. Ravi Dhar & Ning Zhu, 2006. "Up Close and Personal: Investor Sophistication and the Disposition Effect," Management Science, INFORMS, vol. 52(5), pages 726-740, May.
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