IDEAS home Printed from https://ideas.repec.org/a/eme/sefpps/v27y2010i1p30-46.html
   My bibliography  Save this article

Stackelberg real-leader in an insider trading model

Author

Listed:
  • Leonard F.S. Wang
  • Ya-Chin Wang

Abstract

Purpose - The purpose of this paper is to extend the work of earlier researches relating to insider trading issues in the stock market under a Cournot-Stackelberg duopoly. Design/methodology/approach - This paper models that the competition among the insiders in the real market be Stackelberg, which reflects that for all outside and inside reasons, the position and influence of a firm may become the leader or the follower as time goes by. Findings - The paper demonstrates that when the listed company with insiders becomes the leader in the industry, the reaction functions of insiders will change as well as the parameters of the market, to signal from real and financial sides, but the amount traded by insiders remains the same; so does the degree of information revelation. In addition, for the information revealed to the public, the stock price reveals more information with Stackelberg real-leader model than that of the Stackelberg financial-leader model. Originality/value - The main contribution of this paper is that market makers can very well observe signals from the real side, and bringing a signal from the real side can help the stock market reveal more information, but once the signal is introduced, it may not further enhance market efficiency.

Suggested Citation

  • Leonard F.S. Wang & Ya-Chin Wang, 2010. "Stackelberg real-leader in an insider trading model," Studies in Economics and Finance, Emerald Group Publishing, vol. 27(1), pages 30-46, March.
  • Handle: RePEc:eme:sefpps:v:27:y:2010:i:1:p:30-46
    as

    Download full text from publisher

    File URL: http://www.emeraldinsight.com/10.1108/10867371011022966?utm_campaign=RePEc&WT.mc_id=RePEc
    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.

    References listed on IDEAS

    as
    1. Noe, Thomas H, 1997. "Insider Trading and the Problem of Corporate Agency," Journal of Law, Economics, and Organization, Oxford University Press, vol. 13(2), pages 287-318, October.
    2. Daher, Wassim & Mirman, Leonard J., 2007. "Market structure and insider trading," International Review of Economics & Finance, Elsevier, vol. 16(3), pages 306-331.
    3. Jain, Neelam & Mirman, Leonard J., 2002. "Effects of insider trading under different market structures," The Quarterly Review of Economics and Finance, Elsevier, vol. 42(1), pages 19-39.
    4. James Dow, 2003. "Informed Trading, Investment, and Welfare," The Journal of Business, University of Chicago Press, vol. 76(3), pages 439-454, July.
    5. Daher, Wassim & Mirman, Leonard J., 2006. "Cournot duopoly and insider trading with two insiders," The Quarterly Review of Economics and Finance, Elsevier, vol. 46(4), pages 530-551, September.
    6. Hu, Jie & Noe, Thomas H., 2001. "Insider trading and managerial incentives," Journal of Banking & Finance, Elsevier, vol. 25(4), pages 681-716, April.
    7. Leonard J. Mirman & Neelam Jain, 2000. "Real and financial effects of insider trading with correlated signals," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 16(2), pages 333-353.
    8. Leland, Hayne E, 1992. "Insider Trading: Should It Be Prohibited?," Journal of Political Economy, University of Chicago Press, vol. 100(4), pages 859-887, August.
    9. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    10. Michael Manove, 1989. "The Harm from Insider Trading and Informed Speculation," The Quarterly Journal of Economics, Oxford University Press, vol. 104(4), pages 823-845.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Wassim Daher & Harun Aydilek & Fida Karam & Asiye Aydilek, 2014. "Insider trading with product differentiation," Journal of Economics, Springer, vol. 111(2), pages 173-201, March.
    2. Daher, Wassim & Karam, Fida & Mirman, Leonard J., 2012. "Insider trading with different market structures," International Review of Economics & Finance, Elsevier, vol. 24(C), pages 143-154.
    3. Karam, Fida & Daher, Wassim, 2013. "Insider trading in a two-tier real market structure model," The Quarterly Review of Economics and Finance, Elsevier, vol. 53(1), pages 44-52.

    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:eme:sefpps:v:27:y:2010:i:1:p:30-46. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Virginia Chapman). General contact details of provider: http://www.emeraldinsight.com .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.