IDEAS home Printed from https://ideas.repec.org/p/cdl/anderf/qt79s2w9hx.html
   My bibliography  Save this paper

The Effect of Insider Beliefs on Informed Trade, Market Liquidity, and Price Efficiency"

Author

Listed:
  • Callahan, Tyrone W.

Abstract

A one period model of a speculative market is analyzed in which a monopolistically privately informed trader strategically exploits his information through trade with a market maker. Both the informed trader and the market maker entertain doubts about the uniqueness of the insider’s information. I numerically solve for a linear approximate equilibrium in which uncertainty about the number of informed traders in the market plays a dual role. First, it acts as an additional source of noise in the market. Second, it changes the implicit level of competition in the market. Depending on parameter values, these two effects may impact equilibrium characteristics in like or opposite direction. On balance I find: (i) the intensity of an insider’s trading is monotonically decreasing in the likelihood that his information is non-unique; (ii) market liquidity increases in the insider’s uncertainty and can decrease in the implied level of competition; (iii) expected monopolist insider profits are higher on average that if the insider’s information were known to be unique; and )iv) prices tend to be more efficient than in the case of a known monopolist insider.

Suggested Citation

  • Callahan, Tyrone W., 1998. "The Effect of Insider Beliefs on Informed Trade, Market Liquidity, and Price Efficiency"," University of California at Los Angeles, Anderson Graduate School of Management qt79s2w9hx, Anderson Graduate School of Management, UCLA.
    • Handle: RePEc:cdl:anderf:qt79s2w9hx
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/79s2w9hx.pdf;origin=repeccitec
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Cao, H. Henry, 1994. "Imperfect Competition in Noncompetitive Securities Markets with Diversely Informed Traders," University of California at Los Angeles, Anderson Graduate School of Management qt7x064136, Anderson Graduate School of Management, UCLA.
    2. Spiegel, Matthew & Subrahmanyam, Avanidhar, 1992. "Informed Speculation and Hedging in a Noncompetitive Securities Market," The Review of Financial Studies, Society for Financial Studies, vol. 5(2), pages 307-329.
    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. Chowdhry, Bhagwan & Nanda, Vikram, 1991. "Multimarket Trading and Market Liquidity," The Review of Financial Studies, Society for Financial Studies, vol. 4(3), pages 483-511.
    5. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    6. Albert S. Kyle, 1989. "Informed Speculation with Imperfect Competition," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 56(3), pages 317-355.
    7. Judd, Kenneth L., 1992. "Projection methods for solving aggregate growth models," Journal of Economic Theory, Elsevier, vol. 58(2), pages 410-452, December.
    8. Foster, F Douglas & Viswanathan, S, 1993. "The Effect of Public Information and Competition on Trading Volume and Price Volatility," The Review of Financial Studies, Society for Financial Studies, vol. 6(1), pages 23-56.
    9. 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.
    10. Subrahmanyam, Avanidhar, 1991. "Risk Aversion, Market Liquidity, and Price Efficiency," The Review of Financial Studies, Society for Financial Studies, vol. 4(3), pages 416-441.
    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. 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.
    2. Alan D. Morrison, 2004. "Competition and Information Production in Market Maker Models," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 31(7-8), pages 1171-1190.
    3. 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.
    4. Lof, Matthijs & van Bommel, Jos, 2023. "Asymmetric information and the distribution of trading volume," Journal of Corporate Finance, Elsevier, vol. 82(C).
    5. Pascual, Roberto & Escribano, Álvaro & Tapia, Mikel, 1999. "How does liquidity behave? A multidimensional analysis of NYSE stocks," DEE - Working Papers. Business Economics. WB 6433, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
    6. Estrada, Javier, 1994. "Insider trading: regulation, securities markets, and welfare under risk neutrality," UC3M Working papers. Economics 2922, Universidad Carlos III de Madrid. Departamento de Economía.
    7. 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.
    8. 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.
    9. Sastry, Ravi & Thompson, Rex, 2019. "Strategic trading with risk aversion and information flow," Journal of Financial Markets, Elsevier, vol. 44(C), pages 1-16.
    10. Ardalan, Kavous, 1998. "Financial markets with asymmetric information: An expository review of seminal models," International Review of Economics & Finance, Elsevier, vol. 7(1), pages 23-51.
    11. Morrison, Alan D. & Vulkan, Nir, 2005. "Making money out of publicly available information," Economics Letters, Elsevier, vol. 89(1), pages 31-38, October.
    12. Lof, Matthijs & Bommel, Jos van, 2018. "Asymmetric information and the distribution of trading volume," Research Discussion Papers 1, Bank of Finland.
    13. repec:zbw:bofrdp:001 is not listed on IDEAS
    14. BOCCARD, Nicolas & CALCAGNO, Riccardo, 1999. "Asymmetries of information in centralized order-driven markets," LIDAM Discussion Papers CORE 1999035, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    15. Alan D. Morrison, 2004. "Competition and Information Production in Market Maker Models," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 31(7‐8), pages 1171-1190, September.
    16. Deb, Pragyan & Koo, Bonsoo & Liu, Zijun, 2014. "Competition, premature trading and excess volatility," Journal of Banking & Finance, Elsevier, vol. 41(C), pages 178-193.
    17. Sugato Chakravarty & Asani Sarkar, 1998. "An analysis of brokers' trading with applications to order flow internalization and off-exchange sales," Research Paper 9813, Federal Reserve Bank of New York.
    18. repec:zbw:bofrdp:2018_001 is not listed on IDEAS
    19. Biais, Bruno & Glosten, Larry & Spatt, Chester, 2005. "Market microstructure: A survey of microfoundations, empirical results, and policy implications," Journal of Financial Markets, Elsevier, vol. 8(2), pages 217-264, May.
    20. H. Henry Cao & Hui Ou-Yang, 2009. "Differences of Opinion of Public Information and Speculative Trading in Stocks and Options," The Review of Financial Studies, Society for Financial Studies, vol. 22(1), pages 299-335, January.
    21. 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).
    22. Huang, Roger D. & Ting, Christopher, 2008. "A functional approach to the price impact of stock trades and the implied true price," Journal of Empirical Finance, Elsevier, vol. 15(1), pages 1-16, January.

    More about this item

    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:cdl:anderf:qt79s2w9hx. 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: Lisa Schiff (email available below). General contact details of provider: https://edirc.repec.org/data/aguclus.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.