IDEAS home Printed from https://ideas.repec.org/p/twi/respas/0089.html
   My bibliography  Save this paper

The causal effect of stop-loss and take-gain orders on the disposition effect

Author

Listed:
  • Urs Fischbacher
  • Gerson Hoffmann
  • Simeon Schudy

Abstract

The disposition effect, i.e., the tendency to sell winning stocks too early and losing stocks too late is one of the most frequently observed and discussed biases of financial investors. We investigate in a laboratory experiment whether the option of automatic selling devices causally reduces investors� disposition effect. Our investors can actively buy and sell assets, and, in the treatment group, additionally use stop-loss and take-gain options to automatically sell assets. Investors who had access to the automatic selling devices had significantly smaller disposition effects. The reduction was driven by a significant increase in realized losses. The proportion of winners realized was similar in both treatments. Additionally, our setup provides new evidence on which reference prices investors relate to when choosing limits for automatic sales.

Suggested Citation

  • Urs Fischbacher & Gerson Hoffmann & Simeon Schudy, 2014. "The causal effect of stop-loss and take-gain orders on the disposition effect," TWI Research Paper Series 89, Thurgauer Wirtschaftsinstitut, Universität Konstanz.
  • Handle: RePEc:twi:respas:0089
    as

    Download full text from publisher

    File URL: https://www.twi-kreuzlingen.ch/wp-content/uploads/2017/12/twi-rps-089-fischbacher-hoffmann-schudy.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Thaler, Richard H & Shefrin, H M, 1981. "An Economic Theory of Self-Control," Journal of Political Economy, University of Chicago Press, vol. 89(2), pages 392-406, April.
    2. Shu, Pei-Gi & Yeh, Yin-Hua & Chiu, Shean-Bii & Chen, Hsuan-Chi, 2005. "Are Taiwanese individual investors reluctant to realize their losses?," Pacific-Basin Finance Journal, Elsevier, vol. 13(2), pages 201-223, March.
    3. Newton Da Costa & Carlos Mineto & Sergio Da Silva, 2008. "Disposition effect and gender," Applied Economics Letters, Taylor & Francis Journals, vol. 15(6), pages 411-416.
    4. 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.
    5. Thomas Dohmen & Armin Falk & David Huffman & Uwe Sunde & Jürgen Schupp & Gert G. Wagner, 2005. "Individual Risk Attitudes: New Evidence from a Large, Representative, Experimentally-Validated Survey," Discussion Papers of DIW Berlin 511, DIW Berlin, German Institute for Economic Research.
    6. Juhani T. Linnainmaa, 2010. "Do Limit Orders Alter Inferences about Investor Performance and Behavior?," Journal of Finance, American Finance Association, vol. 65(4), pages 1473-1506, August.
    7. Richard H. Thaler, 2008. "Mental Accounting and Consumer Choice," Marketing Science, INFORMS, vol. 27(1), pages 15-25, 01-02.
    8. Gerald Eisenkopf, 2007. "Learning and Peer Effects," TWI Research Paper Series 16, Thurgauer Wirtschaftsinstitut, Universität Konstanz.
    9. Daniela Beckmann & Lukas Menkhoff, 2008. "Will Women Be Women? Analyzing the Gender Difference among Financial Experts," Kyklos, Wiley Blackwell, vol. 61(3), pages 364-384, August.
    10. Shapira, Zur & Venezia, Itzhak, 2001. "Patterns of behavior of professionally managed and independent investors," Journal of Banking & Finance, Elsevier, vol. 25(8), pages 1573-1587, August.
    11. Mark Grinblatt & Matti Keloharju, 2001. "What Makes Investors Trade?," Journal of Finance, American Finance Association, vol. 56(2), pages 589-616, April.
    12. Itzhak Ben-David & David Hirshleifer, 2012. "Are Investors Really Reluctant to Realize Their Losses? Trading Responses to Past Returns and the Disposition Effect," The Review of Financial Studies, Society for Financial Studies, vol. 25(8), pages 2485-2532.
    13. Li Jin & Anna Scherbina, 2011. "Inheriting Losers," The Review of Financial Studies, Society for Financial Studies, vol. 24(3), pages 786-820.
    14. Terrance Odean, 1998. "Are Investors Reluctant to Realize Their Losses?," Journal of Finance, American Finance Association, vol. 53(5), pages 1775-1798, October.
    15. Cary Frydman & Nicholas Barberis & Colin Camerer & Peter Bossaerts & Antonio Rangel, 2012. "Using Neural Data to Test a Theory of Investor Behavior: An Application to Realization Utility," NBER Working Papers 18562, National Bureau of Economic Research, Inc.
    16. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    17. Weber, Martin & Camerer, Colin F., 1998. "The disposition effect in securities trading: an experimental analysis," Journal of Economic Behavior & Organization, Elsevier, vol. 33(2), pages 167-184, January.
    18. Barberis, Nicholas & Xiong, Wei, 2012. "Realization utility," Journal of Financial Economics, Elsevier, vol. 104(2), pages 251-271.
    19. Ingmar Nolte, 2012. "A detailed investigation of the disposition effect and individual trading behavior: a panel survival approach," The European Journal of Finance, Taylor & Francis Journals, vol. 18(10), pages 885-919, November.
    20. 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.
    21. Weber, Martin & Welfens, Frank, 2007. "An individual level analysis of the disposition effect : empirical and experimental evidence," Papers 07-45, Sonderforschungsbreich 504.
    22. Han Bleichrodt & Alessandra Cillo & Enrico Diecidue, 2010. "A Quantitative Measurement of Regret Theory," Management Science, INFORMS, vol. 56(1), pages 161-175, January.
    23. Locke, Peter R. & Mann, Steven C., 2005. "Professional trader discipline and trade disposition," Journal of Financial Economics, Elsevier, vol. 76(2), pages 401-444, May.
    24. 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.
    25. Ferris, Stephen P & Haugen, Robert A & Makhija, Anil K, 1988. " Predicting Contemporary Volume with Historic Volume at Differential Price Levels: Evidence Supporting the Disposition Effect," Journal of Finance, American Finance Association, vol. 43(3), pages 677-697, July.
    26. Manel Baucells & Martin Weber & Frank Welfens, 2011. "Reference-Point Formation and Updating," Management Science, INFORMS, vol. 57(3), pages 506-519, March.
    27. Greiner, Ben, 2004. "An Online Recruitment System for Economic Experiments," MPRA Paper 13513, University Library of Munich, Germany.
    28. Alok Kumar & Sonya Seongyeon Lim, 2008. "How Do Decision Frames Influence the Stock Investment Choices of Individual Investors?," Management Science, INFORMS, vol. 54(6), pages 1052-1064, June.
    29. 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.
    30. Shefrin, Hersh & Statman, Meir, 1985. "The Disposition to Sell Winners Too Early and Ride Losers Too Long: Theory and Evidence," Journal of Finance, American Finance Association, vol. 40(3), pages 777-790, July.
    31. Vicky Henderson, 2012. "Prospect Theory, Liquidation, and the Disposition Effect," Management Science, INFORMS, vol. 58(2), pages 445-460, February.
    32. Kumar, Alok, 2009. "Hard-to-Value Stocks, Behavioral Biases, and Informed Trading," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 44(6), pages 1375-1401, December.
    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. Barber, Brad M. & Odean, Terrance, 2013. "The Behavior of Individual Investors," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1533-1570, Elsevier.
    2. Marco Pleßner, 2017. "The disposition effect: a survey," Management Review Quarterly, Springer, vol. 67(1), pages 1-30, February.
    3. Dorn, Daniel & Strobl, Günter, 2023. "Rational disposition effects: Theory and evidence," Journal of Banking & Finance, Elsevier, vol. 153(C).
    4. Li, Yan & Yang, Liyan, 2013. "Prospect theory, the disposition effect, and asset prices," Journal of Financial Economics, Elsevier, vol. 107(3), pages 715-739.
    5. Li, Jianbiao & Niu, Xiaofei & Li, Dahui & Cao, Qian, 2018. "Using Non-Invasive Brain Stimulation to Test the Role of Self-Control in Investor Behavior," EconStor Preprints 177890, ZBW - Leibniz Information Centre for Economics.
    6. Jakusch, Sven Thorsten & Meyer, Steffen & Hackethal, Andreas, 2019. "Taming models of prospect theory in the wild? Estimation of Vlcek and Hens (2011)," SAFE Working Paper Series 146, Leibniz Institute for Financial Research SAFE, revised 2019.
    7. Hermann, Daniel & Mußhoff, Oliver & Rau, Holger A., 2019. "The disposition effect when deciding on behalf of others," Journal of Economic Psychology, Elsevier, vol. 74(C).
    8. Gutiérrez-Nieto, Begoña & Ortiz, Cristina & Vicente, Luis, 2023. "A bibliometric analysis of the disposition effect: Origins and future research avenues," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).
    9. Ben-David, Itzhak & Hirshleifer, David, 2011. "Beyond the Disposition Effect: Do Investors Really Like Gains More Than Losses?," Working Paper Series 2011-13, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    10. Sarmiento, Julio & Rendón, Jairo & Sandoval, Juan S. & Cayon, Edgardo, 2019. "The disposition effect and the relevance of the reference period: Evidence among sophisticated investors," Journal of Behavioral and Experimental Finance, Elsevier, vol. 24(C).
    11. Brettschneider, Julia & Burro, Giovanni & Henderson, Vicky, 2021. "Wide framing disposition effect: An empirical study," Journal of Economic Behavior & Organization, Elsevier, vol. 185(C), pages 330-347.
    12. Choi, Darwin, 2019. "Disposition sales and stock market liquidity," Journal of Financial Markets, Elsevier, vol. 45(C), pages 19-36.
    13. Kahya, Evrim Hilal & Ekinci, Cumhur, 2022. "Disposition bias among Borsa Istanbul investors: What do we know about type, size and trading frequency?," Journal of Behavioral and Experimental Finance, Elsevier, vol. 35(C).
    14. Summers, Barbara & Duxbury, Darren, 2012. "Decision-dependent emotions and behavioral anomalies," Organizational Behavior and Human Decision Processes, Elsevier, vol. 118(2), pages 226-238.
    15. Lucks, Konstantin, 2016. "The Impact of Self-Control on Investment Decisions," MPRA Paper 73099, University Library of Munich, Germany.
    16. Frydman, Cary & Rangel, Antonio, 2014. "Debiasing the disposition effect by reducing the saliency of information about a stock's purchase price," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PB), pages 541-552.
    17. Deaves, Richard & Kluger, Brian & Miele, Jennifer, 2018. "An exploratory experimental analysis of path-dependent investment behaviors," Journal of Economic Psychology, Elsevier, vol. 67(C), pages 47-65.
    18. Karolis Liaudinskas, 2022. "Human vs. Machine: Disposition Effect among Algorithmic and Human Day Traders," Working Paper 2022/6, Norges Bank.
    19. Daniel W. Richards & Janette Rutterford & Devendra Kodwani & Mark Fenton-O'Creevy, 2017. "Stock market investors' use of stop losses and the disposition effect," The European Journal of Finance, Taylor & Francis Journals, vol. 23(2), pages 130-152, January.
    20. Jakusch, Sven Thorsten, 2017. "On the applicability of maximum likelihood methods: From experimental to financial data," SAFE Working Paper Series 148, Leibniz Institute for Financial Research SAFE, revised 2017.

    More about this item

    Keywords

    disposition effect; stop-loss orders; limit sales; experiment; finance;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • G02 - Financial Economics - - General - - - Behavioral Finance: Underlying Principles
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

    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:twi:respas:0089. 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: Urs Fischbacher (email available below). General contact details of provider: https://edirc.repec.org/data/twikrch.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.