IDEAS home Printed from https://ideas.repec.org/a/oup/rfinst/v29y2016i3p823-861..html
   My bibliography  Save this article

Asset Pricing When Traders Sell Extreme Winners and Losers

Author

Listed:
  • Li An

Abstract

This study investigates the asset pricing implications of a newly documented refinement of the disposition effect, characterized by investors being more likely to sell a security when the magnitude of their gains or losses on it increases. I find that stocks with both large unrealized gains and large unrealized losses outperform others in the following month (trading strategy monthly alpha = 0.5–1%, Sharpe ratio = 1.5). This supports the conjecture that these stocks experience higher selling pressure, leading to lower current prices and higher future returns. Overall, this study provides new evidence that investors' trading behavior can aggregate to affect equilibrium price dynamics. Received March 10, 2014; accepted August 31, 2015 by Editor David Hirshleifer.

Suggested Citation

  • Li An, 2016. "Asset Pricing When Traders Sell Extreme Winners and Losers," The Review of Financial Studies, Society for Financial Studies, vol. 29(3), pages 823-861.
    • Handle: RePEc:oup:rfinst:v:29:y:2016:i:3:p:823-861.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/rfs/hhv060
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bradrania, Reza & Wu, Winston, 2023. "Foreign institutions, local investors and momentum trading," Journal of Empirical Finance, Elsevier, vol. 73(C), pages 40-64.
    2. Ji Cao & Marc Oliver Rieger & Lei Zhao, 2019. "Safety First, Loss Probability, and the Cross Section of Expected Stock Returns," Working Paper Series 2019-02, University of Trier, Research Group Quantitative Finance and Risk Analysis.
    3. Mohamed S. Ahmed & John A. Doukas, 2021. "Revisiting disposition effect and momentum: a quantile regression perspective," Review of Quantitative Finance and Accounting, Springer, vol. 56(3), pages 1087-1128, April.
    4. Doojin Ryu & Doowon Ryu & Heejin Yang, 2021. "The impact of net buying pressure on index options prices," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(1), pages 27-45, January.
    5. Switzer, Lorne N. & Tahaoglu, Cagdas & Zhao, Yun, 2017. "Volatility measures as predictors of extreme returns," Review of Financial Economics, Elsevier, vol. 35(C), pages 1-10.
    6. Choi, Darwin, 2019. "Disposition sales and stock market liquidity," Journal of Financial Markets, Elsevier, vol. 45(C), pages 19-36.
    7. Baltzer, Markus & Jank, Stephan & Smajlbegovic, Esad, 2019. "Who trades on momentum?," Journal of Financial Markets, Elsevier, vol. 42(C), pages 56-74.
    8. An, Li & Argyle, Bronson, 2021. "Overselling winners and losers: How mutual fund managers' trading behavior affects asset prices," Journal of Financial Markets, Elsevier, vol. 55(C).
    9. Bouteska, Ahmed & Kabir Hassan, M. & Gider, Zeynullah & Bataineh, Hassan, 2024. "The role of investor sentiment and market belief in forecasting V-shaped disposition effect: Evidence from a Bayesian learning process with DSSW model," The North American Journal of Economics and Finance, Elsevier, vol. 71(C).
    10. Wang, Huijun & Yan, Jinghua & Yu, Jianfeng, 2017. "Reference-dependent preferences and the risk–return trade-off," Journal of Financial Economics, Elsevier, vol. 123(2), pages 395-414.
    11. Alasdair Brown & Fuyu Yang, 2017. "Salience and the Disposition Effect: Evidence from the Introduction of “Cash‐Outs” in Betting Markets," Southern Economic Journal, John Wiley & Sons, vol. 83(4), pages 1052-1073, April.
    12. Goh, Jihoon & Jeong, Giho & Kang, Jangkoo, 2022. "The reference dependency of short-term reversal," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 195-211.
    13. Bergsma, Kelley & Tayal, Jitendra, 2020. "Quarterly earnings announcements and intra-industry information transfer from the Pacific to the Atlantic," International Review of Financial Analysis, Elsevier, vol. 70(C).
    14. 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.
    15. Cao, Ji & Rieger, Marc Oliver & Zhao, Lei, 2023. "Safety first, loss probability, and the cross section of expected stock returns," Journal of Economic Behavior & Organization, Elsevier, vol. 211(C), pages 345-369.
    16. Min Dai & Yipeng Jiang & Hong Liu & Jing Xu, 2023. "A Rational Theory for Disposition Effects," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 47, pages 131-157, January.
    17. Massa, Massimo & li, jennifer & Zhang, Hong, 2016. "Culture vs. Bias: Can Social Trust Mitigate the Disposition Effect?," CEPR Discussion Papers 11474, C.E.P.R. Discussion Papers.

    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:oup:rfinst:v:29:y:2016:i:3:p:823-861.. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/sfsssea.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.