IDEAS home Printed from https://ideas.repec.org/a/wly/jfutmk/v40y2020i2p228-246.html
   My bibliography  Save this article

Are disposition effect and skew preference correlated? Evidence from account‐level ELW transactions

Author

Listed:
  • Youngsoo Choi
  • Woojin Kim
  • Eunji Kwon

Abstract

This paper examines whether two well‐known cognitive biases, disposition effect and skew preference, may reflect a common feature of certain investors. On the basis of a unique proprietary dataset that provides the details of all transactions in the Korean equity‐linked warrant (ELW) market between 2009 and 2011, we find that investors who realize gains faster than losses are also more likely to trade out‐of‐the‐money ELWs. Investors who are less (more) subject to both biases exhibit the best (worst) risk‐adjusted trading performance. Our findings suggest that disposition effect and skew preference occur simultaneously, which could adversely affect trading performance.

Suggested Citation

  • Youngsoo Choi & Woojin Kim & Eunji Kwon, 2020. "Are disposition effect and skew preference correlated? Evidence from account‐level ELW transactions," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(2), pages 228-246, February.
    • Handle: RePEc:wly:jfutmk:v:40:y:2020:i:2:p:228-246
    DOI: 10.1002/fut.22055
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/fut.22055
    Download Restriction: no
    File URL: https://libkey.io/10.1002/fut.22055?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
    ---><---

    References listed on IDEAS

    as
    1. Cici, Gjergji, 2012. "The Prevalence of the Disposition Effect in Mutual Funds’ Trades," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 47(4), pages 795-820, August.
    2. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    3. repec:bla:jfinan:v:53:y:1998:i:5:p:1775-1798 is not listed on IDEAS
    4. Andersen, Steffen & Hanspal, Tobin & Nielsen, Kasper Meisner, 2019. "Once bitten, twice shy: The power of personal experiences in risk taking," Journal of Financial Economics, Elsevier, vol. 132(3), pages 97-117.
    5. Brian H. Boyer & Keith Vorkink, 2014. "Stock Options as Lotteries," Journal of Finance, American Finance Association, vol. 69(4), pages 1485-1527, August.
    6. Alex Imas, 2016. "The Realization Effect: Risk-Taking after Realized versus Paper Losses," American Economic Review, American Economic Association, vol. 106(8), pages 2086-2109, August.
    7. Nicholas Barberis, 2012. "A Model of Casino Gambling," Management Science, INFORMS, vol. 58(1), pages 35-51, January.
    8. 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.
    9. Bailey, Warren & Kumar, Alok & Ng, David, 2011. "Behavioral biases of mutual fund investors," Journal of Financial Economics, Elsevier, vol. 102(1), pages 1-27, October.
    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. Brad M. Barber & Terrance Odean, 2000. "Trading Is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors," Journal of Finance, American Finance Association, vol. 55(2), pages 773-806, April.
    12. Craig Israelsen, 2005. "A refinement to the Sharpe ratio and information ratio," Journal of Asset Management, Palgrave Macmillan, vol. 5(6), pages 423-427, April.
    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.
    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. Bernard, Sabine & Loos, Benjamin & Weber, Martin, 2021. "The disposition effect in boom and bust markets," SAFE Working Paper Series 305, Leibniz Institute for Financial Research SAFE.
    2. 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).
    3. Edika Quispe-Torreblanca & David Hume & John Gathergood & George Loewenstein & Neil Stewart, 2023. "At the Top of the Mind: Peak Prices and the Disposition Effect," Discussion Papers 2023-09, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    4. 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.
    5. Li An & Huijun Wang & Jian Wang & Jianfeng Yu, 2020. "Lottery-Related Anomalies: The Role of Reference-Dependent Preferences," Management Science, INFORMS, vol. 66(1), pages 473-501, January.
    6. Guiso, Luigi & Sodini, Paolo, 2013. "Household Finance: An Emerging Field," 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 1397-1532, Elsevier.
    7. Ebert, Sebastian & Hilpert, Christian, 2019. "Skewness preference and the popularity of technical analysis," Journal of Banking & Finance, Elsevier, vol. 109(C).
    8. Liêu, L.M. & Pelster, M., 2020. "Framing and the disposition effect in a scopic regime," The Quarterly Review of Economics and Finance, Elsevier, vol. 78(C), pages 175-185.
    9. Rawley Heimer & Zwetelina Iliewa & Alex Imax & Martin Weber, 2021. "Dynamic Inconsistency in Risky Choice: Evidence from the Lab and Field," ECONtribute Discussion Papers Series 094, University of Bonn and University of Cologne, Germany.
    10. Cristiana Cerqueira Leal & Gilberto Loureiro & Manuel J. Rocha Armada, 2018. "Selling winners, buying losers: Mental decision rules of individual investors on their holdings," European Financial Management, European Financial Management Association, vol. 24(3), pages 362-386, June.
    11. Marco Pleßner, 2017. "The disposition effect: a survey," Management Review Quarterly, Springer, vol. 67(1), pages 1-30, February.
    12. Andreu, Laura & Ortiz, Cristina & Sarto, José Luis, 2020. "Disposition effect in fund managers. Fund and stock-specific factors and the upshot for investors," Journal of Economic Behavior & Organization, Elsevier, vol. 176(C), pages 253-268.
    13. 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.
    14. 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.
    15. Adam Zaremba & Jacob Koby Shemer, 2018. "Price-Based Investment Strategies," Springer Books, Springer, number 978-3-319-91530-2, June.
    16. Voraprapa Nakavachara & Roongkiat Ratanabanchuen & Kanis Saengchote & Thitiphong Amonthumniyom & Pongsathon Parinyavuttichai & Polpatt Vinaibodee, 2023. "Do People Gamble or Invest in the Cryptocurrency Market? Transactional-Level Evidence from Thailand," PIER Discussion Papers 206, Puey Ungphakorn Institute for Economic Research, revised Feb 2024.
    17. Hincapié-Salazar, Juliana & Agudelo, Diego A., 2020. "Is the disposition effect in bonds as strong as in stocks? Evidence from an emerging market," Global Finance Journal, Elsevier, vol. 46(C).
    18. Markus Dertwinkel-Kalt & Jonas Frey, 2020. "Optimal Stopping in a Dynamic Salience Model," CESifo Working Paper Series 8496, CESifo.
    19. Jonathan E. Ingersoll Jr. & Lawrence J. Jin, 2014. "Realization Utility with Reference-Dependent Preferences," Papers 1408.2859, arXiv.org.
    20. Kuo-Hwa Chang & Michael Nayat Young, 2019. "Portfolios Optimizations of Behavioral Stocks with Perception Probability Weightings," Annals of Economics and Finance, Society for AEF, vol. 20(2), pages 817-845, November.

    More about this item

    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:wly:jfutmk:v:40:y:2020:i:2:p:228-246. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.interscience.wiley.com/jpages/0270-7314/ .

    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.