IDEAS home Printed from https://ideas.repec.org/p/ehl/lserod/6862.html
   My bibliography  Save this paper

Noise and competition in strategic oligopoly

Author

Listed:
  • Dridi, Ramdan
  • Germain, Laurent

Abstract

Focusing on homogeneous beliefs, we can distinguish two commonly shared ideas that, i) the competition between informed traders destroys their trading profits, ii) trading with a noisy signal brings about a loss in the expected profits. So far, it has been proved in the latter framework, that when N strategic and perfectly informed traders compete in the financial market, i) the informativeness of prices increases with the degree of competition and, ii) the aggregate and individual profits go to 0 when N is large. In this paper, we propose a general study where N strategic informaed agents have heterogeneous beliefs, i.e. are endowed with noisy information and compete à la Nash. We prove the existence and uniqueness of a linear equilibrium generalizing Kyle (1985) results to the case of N informed traders when the insiders have heterogeneous beliefs. In this general framework, we derive the following striking results: for certain regions of noise and numbers of competitors in excess of four, i) each individual expected profit is greater than the one obtained in the perfectly informed (and homogeneous beliefs) case; ii) the aggregate profit has a finite (strictly) positive limit when N is large. iii) Even when an infinite number of insiders compete in the market, the price is no longer efficient and does not fully reveal the final liquidation value of the risky asset. iv) In the particular case where each informed agent is endowed with a signal the precision of which is the same, a) we show that there exists an optimal level of noise for which each individual expected profit is maximized; b) we show that there exists an optimal size of the market for which the aggregate expectged profit is maximized; c) the liquidity is an increasing function of the number of informed traders but has a finite limit for large N; d) the informativeness of prices is a decreasing function of the number of informed traders.

Suggested Citation

  • Dridi, Ramdan & Germain, Laurent, 2000. "Noise and competition in strategic oligopoly," LSE Research Online Documents on Economics 6862, London School of Economics and Political Science, LSE Library.
  • Handle: RePEc:ehl:lserod:6862
    as

    Download full text from publisher

    File URL: http://eprints.lse.ac.uk/6862/
    File Function: Open access version.
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jean-Charles Rochet & Jean-Luc Vila, 1994. "Insider Trading without Normality," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 61(1), pages 131-152.
    2. Admati, Anat R. & Pfleiderer, Paul, 1987. "Viable allocations of information in financial markets," Journal of Economic Theory, Elsevier, vol. 43(1), pages 76-115, October.
    3. Holden, Craig W & Subrahmanyam, Avanidhar, 1992. "Long-Lived Private Information and Imperfect Competition," Journal of Finance, American Finance Association, vol. 47(1), pages 247-270, March.
    4. Foster, F. Douglas & Viswanathan, S., 1994. "Strategic Trading with Asymmetrically Informed Traders and Long-Lived Information," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 29(4), pages 499-518, December.
    5. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    6. Holden, Craig W. & Subrahmanyam, Avanidhar, 1994. "Risk aversion, imperfect competition, and long-lived information," Economics Letters, Elsevier, vol. 44(1-2), pages 181-190.
    7. Foster, F Douglas & Viswanathan, S, 1996. "Strategic Trading When Agents Forecast the Forecasts of Others," Journal of Finance, American Finance Association, vol. 51(4), pages 1437-1478, September.
    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. Ramdan Dridi & Laurent Germain, 2000. "Noise and Competition in Strategic Oligopoly," STICERD - Econometrics Paper Series 395, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    2. Jason Shachat & Anand Srinivasan, 2022. "Informational Price Cascades and Non-Aggregation of Asymmetric Information in Experimental Asset Markets," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 23(4), pages 388-407, November.
    3. Chiu, Yen-Chen, 2020. "Macroeconomic uncertainty, information competition, and liquidity," Finance Research Letters, Elsevier, vol. 34(C).
    4. Nicolas S. Lambert & Michael Ostrovsky & Mikhail Panov, 2018. "Strategic Trading in Informationally Complex Environments," Econometrica, Econometric Society, vol. 86(4), pages 1119-1157, July.
    5. Chanwoo Noh & Sungsub Choi, 2009. "Strategic Trading of Informed Trader with Monopoly on Short- and Long-Lived Information," Annals of Economics and Finance, Society for AEF, vol. 10(2), pages 351-365, November.
    6. Gong, Fuzhou & Liu, Hong, 2016. "Asymmetric information, heterogeneous prior beliefs, and public information," International Review of Economics & Finance, Elsevier, vol. 46(C), pages 100-120.
    7. Medrano, Luis Angel & Vives, Xavier, 2001. "Strategic Behavior and Price Discovery," RAND Journal of Economics, The RAND Corporation, vol. 32(2), pages 221-248, Summer.
    8. Dan Bernhardt & P. Seiler & B. Taub, 2010. "Speculative dynamics," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 44(1), pages 1-52, July.
    9. Zhou, Deqing & Wang, Wenjie, 2020. "Insider, outsider and information heterogeneity," The North American Journal of Economics and Finance, Elsevier, vol. 53(C).
    10. Lof, Matthijs & van Bommel, Jos, 2023. "Asymmetric information and the distribution of trading volume," Journal of Corporate Finance, Elsevier, vol. 82(C).
    11. Dan Bernhardt & Ryan Davies & John Spicer, 2000. "Long-term Information, Short-lived Derivative Securities," Working Paper 994, Economics Department, Queen's University.
    12. Zhou, Deqing & Zhen, Fang, 2021. "Risk aversion, informative noise trading, and long-lived information," Economic Modelling, Elsevier, vol. 97(C), pages 247-254.
    13. Dimitri Vayanos & Jiang Wang, 2012. "Market Liquidity -- Theory and Empirical Evidence," NBER Working Papers 18251, National Bureau of Economic Research, Inc.
    14. Umut c{C}et{i}n, 2018. "Mathematics of Market Microstructure under Asymmetric Information," Papers 1809.03885, arXiv.org.
    15. Qin Lei & Xuewu Wang, 2014. "Time†Varying Liquidity Trading, Private Information and Insider Trading," European Financial Management, European Financial Management Association, vol. 20(2), pages 321-351, March.
    16. Choi, Jin Hyuk & Larsen, Kasper & Seppi, Duane J., 2019. "Information and trading targets in a dynamic market equilibrium," Journal of Financial Economics, Elsevier, vol. 132(3), pages 22-49.
    17. Giovanni Cespa, 2008. "Information Sales and Insider Trading with Long‐Lived Information," Journal of Finance, American Finance Association, vol. 63(2), pages 639-672, April.
    18. Vayanos, Dimitri & Wang, Jiang, 2013. "Market Liquidity—Theory and Empirical Evidence ," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1289-1361, Elsevier.
    19. Sastry, Ravi & Thompson, Rex, 2019. "Strategic trading with risk aversion and information flow," Journal of Financial Markets, Elsevier, vol. 44(C), pages 1-16.
    20. Dan Bernhardt & Ryan J. Davies & John Spicer, 2006. "Long‐term information, short‐lived securities," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 26(5), pages 466-502, May.

    More about this item

    Keywords

    Competition; optimal noise; price manipulation;
    All these keywords.

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • G24 - Financial Economics - - Financial Institutions and Services - - - Investment Banking; Venture Capital; Brokerage
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • D43 - Microeconomics - - Market Structure, Pricing, and Design - - - Oligopoly and Other Forms of Market Imperfection

    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:ehl:lserod:6862. 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: LSERO Manager (email available below). General contact details of provider: https://edirc.repec.org/data/lsepsuk.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.