IDEAS home Printed from https://ideas.repec.org/p/hhs/nhhfms/2010_009.html
   My bibliography  Save this paper

Strategic Insider Trading Equilibrium: A Filter Theory Approach

Author

Listed:
  • Aase, Knut K.

    (Dept. of Finance and Management Science, Norwegian School of Economics and Business Administration)

  • Bjuland, Terje

    (Dept. of Finance and Management Science, Norwegian School of Economics and Business Administration)

  • Øksendal, Bernt

    (Department of Mathematics, University of Oslo)

Abstract

The continuous-time version of Kyle's (1985) model of asset pricing with asymmetric information is studied, and generalized in various directions, i.e., by allowing time-varying liquidity trading, and by having weaker a priori assumptions on the model. This extension is made possible by the use of filtering theory. We derive the optimal trade for an insider and the corresponding price of the risky asset; the insider's trading intensity satisfies a deterministic integral equation, given perfect inside information.

Suggested Citation

  • Aase, Knut K. & Bjuland, Terje & Øksendal, Bernt, 2010. "Strategic Insider Trading Equilibrium: A Filter Theory Approach," Discussion Papers 2010/9, Norwegian School of Economics, Department of Business and Management Science.
  • Handle: RePEc:hhs:nhhfms:2010_009
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/11250/164140
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Stoyan V. Stoyanov & Yong Shin Kim & Svetlozar T. Rachev & Frank J. Fabozzi, 2017. "Option pricing for Informed Traders," Papers 1711.09445, arXiv.org.
    2. Aase, Knut K. & Bjuland, Terje & Øksendal, Bernt, 2011. "Insider trading with partially informed traders," Discussion Papers 2011/21, Norwegian School of Economics, Department of Business and Management Science.
    3. Jos'e Manuel Corcuera & Giulia Di Nunno & Gergely Farkas & Bernt {O}ksendal, 2014. "A continuous auction model with insiders and random time of information release," Papers 1411.2835, arXiv.org, revised Mar 2018.
    4. Christoph Kuhn & Matthias Riedel, 2012. "Price-Setting of Market Makers: A Filtering Problem with an Endogenous Filtration," Papers 1210.4000, arXiv.org.
    5. Aase, Knut K. & Gjesdal, Frøystein, 2016. "Insider trading with non-fiduciary market makers," Discussion Papers 2016/8, Norwegian School of Economics, Department of Business and Management Science.

    More about this item

    Keywords

    Insider trading; equilibrium; strategic trade; linear filter theory; innovation equation;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

    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:hhs:nhhfms:2010_009. 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: Stein Fossen (email available below). General contact details of provider: https://edirc.repec.org/data/dfnhhno.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.