IDEAS home Printed from https://ideas.repec.org/p/arx/papers/1012.2160.html
   My bibliography  Save this paper

Insider Trading in the Market with Rational Expected Price

Author

Listed:
  • Fuzhou Gong
  • Deqing Zhou

Abstract

Kyle (1985) builds a pioneering and influential model, in which an insider with long-lived private information submits an optimal order in each period given the market maker's pricing rule. An inconsistency exists to some extent in the sense that the ``constant pricing rule " actually assumes an adaptive expected price with pricing rule given before insider making the decision, and the ``market efficiency" condition, however, assumes a rational expected price and implies that the pricing rule can be influenced by insider's strategy. We loosen the ``constant pricing rule " assumption by taking into account sufficiently the insider's strategy has on pricing rule. According to the characteristic of the conditional expectation of the informed profits, three different models vary with insider's attitudes regarding to risk are presented. Compared to Kyle (1985), the risk-averse insider in Model 1 can obtain larger guaranteed profits, the risk-neutral insider in Model 2 can obtain a larger ex ante expectation of total profits across all periods and the risk-seeking insider in Model 3 can obtain larger risky profits. Moreover, the limit behaviors of the three models when trading frequency approaches infinity are given, showing that Model 1 acquires a strong-form efficiency, Model 2 acquires the Kyle's (1985) continuous equilibrium, and Model 3 acquires an equilibrium with information released at an increasing speed.

Suggested Citation

  • Fuzhou Gong & Deqing Zhou, 2010. "Insider Trading in the Market with Rational Expected Price," Papers 1012.2160, arXiv.org.
  • Handle: RePEc:arx:papers:1012.2160
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/1012.2160
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Holden, Craig W. & Subrahmanyam, Avanidhar, 1994. "Risk aversion, imperfect competition, and long-lived information," Economics Letters, Elsevier, vol. 44(1-2), pages 181-190.
    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. Hong Liu & Jingyuan Wu & Qingshan Yang, 2017. "Inside Trading when the Market Deviates from the Semi-strong Efficient Condition," Annals of Economics and Finance, Society for AEF, vol. 18(1), pages 111-128, May.
    2. 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.

    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. Acharya, Viral V. & Johnson, Timothy C., 2010. "More insiders, more insider trading: Evidence from private-equity buyouts," Journal of Financial Economics, Elsevier, vol. 98(3), pages 500-523, December.
    2. 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.
    3. 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.
    4. Umut c{C}etin & Albina Danilova, 2014. "Markovian Nash equilibrium in financial markets with asymmetric information and related forward-backward systems," Papers 1407.2420, arXiv.org, revised Sep 2016.
    5. Huang, Hui, 2008. "Risk aversion, mandatory disclosure and the concealment of information," Economics Letters, Elsevier, vol. 99(1), pages 2-9, April.
    6. 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.
    7. Julio A. Crego, 2017. "Does Public News Decrease Information Asymmetries? Evidence from the Weekly Petroleum Status Report," Working Papers wp2018_1714, CEMFI.
    8. Chiu, Yen-Chen, 2020. "Macroeconomic uncertainty, information competition, and liquidity," Finance Research Letters, Elsevier, vol. 34(C).
    9. Palan, Stefan & Stöckl, Thomas, 2017. "When chasing the offender hurts the victim: The case of insider legislation," Journal of Financial Markets, Elsevier, vol. 35(C), pages 104-129.
    10. Back, Kerry & Pedersen, Hal, 1998. "Long-lived information and intraday patterns," Journal of Financial Markets, Elsevier, vol. 1(3-4), pages 385-402, September.
    11. Baruch, Shmuel, 2002. "Insider trading and risk aversion," Journal of Financial Markets, Elsevier, vol. 5(4), pages 451-464, October.
    12. 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.
    13. Daher, Wassim & Mirman, Leonard J. & Saleeby, Elias G., 2014. "Two-period model of insider trading with correlated signals," Journal of Mathematical Economics, Elsevier, vol. 52(C), pages 57-65.
    14. Wassim Daher & Harun Aydilek & Elias G. Saleeby, 2020. "Insider trading with different risk attitudes," Journal of Economics, Springer, vol. 131(2), pages 123-147, October.
    15. Zhou, Deqing & Zhen, Fang, 2021. "Risk aversion, informative noise trading, and long-lived information," Economic Modelling, Elsevier, vol. 97(C), pages 247-254.
    16. Dimitri Vayanos & Jiang Wang, 2012. "Market Liquidity -- Theory and Empirical Evidence," NBER Working Papers 18251, National Bureau of Economic Research, Inc.
    17. Umut c{C}et{i}n, 2018. "Mathematics of Market Microstructure under Asymmetric Information," Papers 1809.03885, arXiv.org.
    18. Henk Berkman & Carole Comerton‐Forde, 2011. "Market microstructure: A review from down under," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 51(1), pages 50-78, March.
    19. Liu, Hong & Chai, Shujuan, 2020. "Risk aversion, public disclosure, and partially informed outsiders," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    20. Alex Boulatov & Thomas J. George, 2013. "Hidden and Displayed Liquidity in Securities Markets with Informed Liquidity Providers," The Review of Financial Studies, Society for Financial Studies, vol. 26(8), pages 2096-2137.

    More about this item

    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:arx:papers:1012.2160. 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: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    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.