IDEAS home Printed from https://ideas.repec.org/p/hhs/nhhfms/2019_002.html

Strategic Insider Trading Equilibrium with a non-fiduciary market maker

Author

Listed:
  • Aase, Knut K.

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

  • Øksendal, Bernt

    (Dept. of Mathematics, University of Oslo)

Abstract

The continuous-time version of Kyle's (1985) model is studied, in which market makers are not fiduciaries. They have some market power which they utilize to set the price to their advantage, resulting in positive expected profits. This has several implications for the equilibrium, the most important being that by setting a modest fee conditional of the order ow, the market maker is able to obtain a profit of the order of magnitude, and even better than, a perfectly informed insider. Our model also indicates why speculative prices are more volatile than predicted by fundamentals.

Suggested Citation

  • Aase, Knut K. & Øksendal, Bernt, 2019. "Strategic Insider Trading Equilibrium with a non-fiduciary market maker," Discussion Papers 2019/2, Norwegian School of Economics, Department of Business and Management Science, revised 12 Dec 2019.
  • Handle: RePEc:hhs:nhhfms:2019_002
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/11250/2611566
    File Function: Full text
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Glosten, Lawrence R. & Milgrom, Paul R., 1985. "Bid, ask and transaction prices in a specialist market with heterogeneously informed traders," Journal of Financial Economics, Elsevier, vol. 14(1), pages 71-100, March.
    2. Anat R. Admati, Paul Pfleiderer, 1988. "A Theory of Intraday Patterns: Volume and Price Variability," The Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 3-40.
    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. Yuki Nakamura, 2026. "The Privacy Subsidy: Kyle's $\lambda$ under Noise-Perturbed Order-Flow Observation," Papers 2605.15746, arXiv.org, revised May 2026.
    2. Yuki Nakamura, 2026. "The Privacy Subsidy in Continuous-Time Kyle: Cumulative Welfare under Noise-Perturbed Order-Flow Observation," Papers 2605.25631, arXiv.org, revised May 2026.

    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. Rime, Dagfinn & Sarno, Lucio & Sojli, Elvira, 2010. "Exchange rate forecasting, order flow and macroeconomic information," Journal of International Economics, Elsevier, vol. 80(1), pages 72-88, January.
    2. Chang, Sanders S. & Wang, F. Albert, 2015. "Adverse selection and the presence of informed trading," Journal of Empirical Finance, Elsevier, vol. 33(C), pages 19-33.
    3. Bin Li & Mohan Venkatachalam, 2025. "The value of equal access to mandatory disclosure: evidence from the Great Postal Strike of 1970," Review of Accounting Studies, Springer, vol. 30(2), pages 1397-1431, June.
    4. Chakrabarty, Bidisha & Cox, Justin & Upson, James E., 2022. "Tick Size Pilot Program and price discovery in U.S. stock markets," Journal of Financial Markets, Elsevier, vol. 59(PB).
    5. Loukil, Nadia & Yousfi, Ouidad, 2010. "Firm's information environment and stock liquidity: evidence from Tunisian context," MPRA Paper 28699, University Library of Munich, Germany, revised Feb 2011.
    6. Gyntelberg, Jacob & Loretan, Mico & Subhanij, Tientip, 2018. "Private information, capital flows, and exchange rates," Journal of International Money and Finance, Elsevier, vol. 81(C), pages 40-55.
    7. Allen, Franklin & Haas, Marlene D. & Nowak, Eric & Tengulov, Angel, 2021. "Market efficiency and limits to arbitrage: Evidence from the Volkswagen short squeeze," Journal of Financial Economics, Elsevier, vol. 142(1), pages 166-194.
    8. Huang, Zihuang & Wang, Shaokun & Li, Kaifeng, 2025. "The impact of informed trading on liquidity in Chinese crude oil futures," Energy Economics, Elsevier, vol. 150(C).
    9. Gerhard, Frank & Hess, Dieter & Pohlmeier, Winfried, 1998. "What a Difference a Day Makes: On the Common Market Microstructure of Trading Days," CoFE Discussion Papers 98/01, University of Konstanz, Center of Finance and Econometrics (CoFE).
    10. Richard Y. Chen & Per A. Mykland, 2015. "Model-Free Approaches to Discern Non-Stationary Microstructure Noise and Time-Varying Liquidity in High-Frequency Data," Papers 1512.06159, arXiv.org, revised Oct 2018.
    11. Sugato Chakravarty & Asani Sarkar & Lifan Wu, 1997. "Estimating the adverse selection cost in markets with multiple informed traders," Research Paper 9713, Federal Reserve Bank of New York.
    12. Pei-Hwang Wei, 1992. "Intraday Variations In Trading Activity, Price Variability, And The Bid-Ask Spread," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 15(3), pages 265-276, September.
    13. Laurie Simon Hodrick & Pamela C. Moulton, 2009. "Liquidity: Considerations of a Portfolio Manager," Financial Management, Financial Management Association International, vol. 38(1), pages 59-74, March.
    14. Yi‐Wei Chuang & Wei‐Che Tsai & Pei‐Shih Weng & Chi Yin, 2021. "Do put warrants unwind short‐sale restrictions? Further evidence from the Taiwan Stock Exchange," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(3), pages 325-348, March.
    15. Upson, James & McInish, Thomas & IV, B. Hardy Johnson, 2021. "Order based versus level book trade reporting: An empirical analysis," Journal of Banking & Finance, Elsevier, vol. 125(C).
    16. Trifan, Emanuela, 2004. "Entscheidungsregeln und ihr Einfluss auf den Aktienkurs," Darmstadt Discussion Papers in Economics 131, Darmstadt University of Technology, Department of Law and Economics.
    17. Malgorzata Doman, 2008. "Information Impact on Stock Price Dynamics," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 8, pages 13-20.
    18. Zhang, Yue, 2015. "The securitization of gold and its potential impact on gold stocks," Journal of Banking & Finance, Elsevier, vol. 58(C), pages 309-326.
    19. Chris D'Souza & Charles Gaa, 2004. "The Effects of Economic News on Bond Market Liquidity," Staff Working Papers 04-16, Bank of Canada.
    20. Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2015. "Wave function method to forecast foreign currencies exchange rates at ultra high frequency electronic trading in foreign currencies exchange markets," MPRA Paper 67470, University Library of Munich, Germany.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • G00 - Financial Economics - - General - - - General

    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:2019_002. 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: 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.