IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v23y2017icp196-201.html
   My bibliography  Save this article

Learning to wait

Author

Listed:
  • Cai, Jinghan
  • He, Jibao
  • Zhai, Weili

Abstract

We use Cai et al. (2017)’s proxy of patience and find out that investors do learn from their prior trading experiences. They become more patient when they participate in more IPOs, and they tend to obtain higher returns. We also document a concave learning curve: inexperienced investors are overall less patient than more experienced ones; however, inexperienced investors’ marginal effect of learning is higher than experienced ones. This learning effect only exists in infrequent traders.

Suggested Citation

  • Cai, Jinghan & He, Jibao & Zhai, Weili, 2017. "Learning to wait," Finance Research Letters, Elsevier, vol. 23(C), pages 196-201.
    • Handle: RePEc:eee:finlet:v:23:y:2017:i:c:p:196-201
    DOI: 10.1016/j.frl.2017.07.011
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612317300909
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.frl.2017.07.011?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
    ---><---

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

    References listed on IDEAS

    as
    1. Nicolosi, Gina & Peng, Liang & Zhu, Ning, 2009. "Do individual investors learn from their trading experience?," Journal of Financial Markets, Elsevier, vol. 12(2), pages 317-336, May.
    2. Yao-Min Chiang & David Hirshleifer & Yiming Qian & Ann E. Sherman, 2011. "Do Investors Learn from Experience? Evidence from Frequent IPO Investors," Review of Financial Studies, Society for Financial Studies, vol. 24(5), pages 1560-1589.
    3. Amit Seru & Tyler Shumway & Noah Stoffman, 2010. "Learning by Trading," Review of Financial Studies, Society for Financial Studies, vol. 23(2), pages 705-739, February.
    4. Mark Grinblatt & Matti Keloharju & Juhani Linnainmaa, 2011. "IQ and Stock Market Participation," Journal of Finance, American Finance Association, vol. 66(6), pages 2121-2164, 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. John Y. Campbell & Tarun Ramadorai & Benjamin Ranish, 2014. "Getting Better or Feeling Better? How Equity Investors Respond to Investment Experience," NBER Working Papers 20000, National Bureau of Economic Research, Inc.
    2. Oscar A. Stolper & Andreas Walter, 2017. "Financial literacy, financial advice, and financial behavior," Journal of Business Economics, Springer, vol. 87(5), pages 581-643, July.
    3. Jan Hanousek Jr. & Jan Hanousek & Jakub Mikulka & Jared Williams, 2023. "Early Outcomes and Future Risk-taking: Evidence from a Large Gambling Provider," MENDELU Working Papers in Business and Economics 2023-90, Mendel University in Brno, Faculty of Business and Economics.
    4. Hayley, Simon & Marsh, Ian W., 2016. "What do retail FX traders learn?," Journal of International Money and Finance, Elsevier, vol. 64(C), pages 16-38.
    5. Bodnaruk, Andriy & Simonov, Andrei, 2015. "Do financial experts make better investment decisions?," Journal of Financial Intermediation, Elsevier, vol. 24(4), pages 514-536.
    6. Chan, Kalok & Wang, Baolian & Yang, Zhishu, 2019. "Why investors do not buy cheaper securities: Evidence from a natural experiment," Journal of Banking & Finance, Elsevier, vol. 101(C), pages 59-76.
    7. Camille Magron, 2012. "Performance of individual investors and personal investment objectives," Working Papers of LaRGE Research Center 2012-07, Laboratoire de Recherche en Gestion et Economie (LaRGE), Université de Strasbourg.
    8. Utpal Bhattacharya & Wei-Yu Kuo & Tse-Chun Lin & Jing Zhao, 2018. "Do Superstitious Traders Lose Money?," Management Science, INFORMS, vol. 64(8), pages 3772-3791, August.
    9. Muñoz, Fernando & Vicente, Ruth, 2018. "Hindsight effect: What are the actual cash flow timing skills of mutual fund investors?," Journal of Empirical Finance, Elsevier, vol. 45(C), pages 181-193.
    10. Xu, Rong & Liu, Yaodong & Hu, Nan & Guo, Jie (Michael), 2022. "What drives individual investors in the bear market?," The British Accounting Review, Elsevier, vol. 54(6).
    11. Camille Magron & Maxime Merli, 2012. "Stocks repurchase and sophistication of individual investors," Working Papers of LaRGE Research Center 2012-02, Laboratoire de Recherche en Gestion et Economie (LaRGE), Université de Strasbourg.
    12. Juhani T. Linnainmaa, 2011. "Why Do (Some) Households Trade So Much?," Review of Financial Studies, Society for Financial Studies, vol. 24(5), pages 1630-1666.
    13. Francisco Gomes & Michael Haliassos & Tarun Ramadorai, 2021. "Household Finance," Journal of Economic Literature, American Economic Association, vol. 59(3), pages 919-1000, September.
    14. Tao, Qizhi & Chen, Carl & Lu, Rui & Zhang, Ting, 2017. "Underfunding or distress? An analysis of corporate pension underfunding and the cross-section of expected stock returns," International Review of Economics & Finance, Elsevier, vol. 48(C), pages 116-133.
    15. D’Hondt, Catherine & De Winne, Rudy & Merli, Maxime, 2021. "Do retail investors bite off more than they can chew? A close look at their return objectives," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 879-902.
    16. Firth, Chris, 2020. "Protecting investors from themselves: Evidence from a regulatory intervention," Journal of Behavioral and Experimental Finance, Elsevier, vol. 27(C).
    17. Glaser, Markus & Weber, Martin, 2007. "Why inexperienced investors do not learn: They do not know their past portfolio performance," Finance Research Letters, Elsevier, vol. 4(4), pages 203-216, December.
    18. Neil D Pearson & Zhishu Yang & Qi Zhang & Stijn Van Nieuwerburgh, 0. "The Chinese Warrants Bubble: Evidence from Brokerage Account Records," Review of Economic Studies, Oxford University Press, vol. 34(1), pages 264-312.
    19. Huang, Xing & Ivković, Zoran & Jiang, John Xuefeng & Wang, Isabel Yanyan, 2023. "Angel investment and first impressions," Journal of Financial Economics, Elsevier, vol. 149(2), pages 161-178.
    20. Peiran Jiao, 2015. "The Double-Channeled Effects of Experience on Individual Investment Decisions: Experimental Evidence," Economics Series Working Papers 766, University of Oxford, Department of Economics.

    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:eee:finlet:v:23:y:2017:i:c:p:196-201. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/frl .

    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.