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Strategic Behavior and Price Discovery


  • Medrano, Luis Angel
  • Vives, Xavier


We analyze the effects of strategic behavior by a large informed trader in a price discovery process used in opening auctions in continuous trading systems. It is found that the large informed trader manipulates the market using a contrarian strategy to neutralize the effect of the trades of competitive informed agents. Furthermore, consistent with the empirical evidence available, we find that information revelation accelerates close to the opening, that the market price approaches but does not converge to the fundamental value, and that the expected trading volume displays a U-shaped pattern. Copyright 2001 by the RAND Corporation.

Suggested Citation

  • 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.
  • Handle: RePEc:rje:randje:v:32:y:2001:i:2:p:221-48

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    References listed on IDEAS

    1. Colin F. Camerer, 1998. "Can Asset Markets Be Manipulated? A Field Experiment with Racetrack Betting," Journal of Political Economy, University of Chicago Press, vol. 106(3), pages 457-482, June.
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    3. Laffont, Jean-Jacques & Maskin, Eric S, 1990. "The Efficient Market Hypothesis and Insider Trading on the Stock Market," Journal of Political Economy, University of Chicago Press, vol. 98(1), pages 70-93, February.
    4. Robert A. Jarrow, 2008. "Market Manipulation, Bubbles, Corners, and Short Squeezes," World Scientific Book Chapters,in: Financial Derivatives Pricing Selected Works of Robert Jarrow, chapter 6, pages 105-130 World Scientific Publishing Co. Pte. Ltd..
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    8. Charles Cao & Eric Ghysels & Frank Hatheway, 1998. "Why Is the Bid Price Greater than the Ask? Price Discovery during the Nasdaq Pre-Opening," CIRANO Working Papers 98s-14, CIRANO.
    9. 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(04), pages 499-518, December.
    10. Gould, John P & Verrecchia, Robert E, 1985. "The Information Content of Specialist Pricing," Journal of Political Economy, University of Chicago Press, vol. 93(1), pages 66-83, February.
    11. Vila, Jean-Luc, 1989. "Simple games of market manipulation," Economics Letters, Elsevier, vol. 29(1), pages 21-26.
    12. Jordan, J. S., 1982. "A dynamic model of expectations equilibrium," Journal of Economic Theory, Elsevier, vol. 28(2), pages 235-254, December.
    13. Ma, Ching-To Albert & Manove, Michael, 1993. "Bargaining with Deadlines and Imperfect Player Control," Econometrica, Econometric Society, vol. 61(6), pages 1313-1339, November.
    14. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
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    16. Holden, Craig W. & Subrahmanyam, Avanidhar, 1994. "Risk aversion, imperfect competition, and long-lived information," Economics Letters, Elsevier, vol. 44(1-2), pages 181-190.
    17. Back, Kerry, 1992. "Insider Trading in Continuous Time," Review of Financial Studies, Society for Financial Studies, vol. 5(3), pages 387-409.
    18. Madhavan, Ananth & Panchapagesan, Venkatesh, 2000. "Price Discovery in Auction Markets: A Look Inside the Black Box," Review of Financial Studies, Society for Financial Studies, vol. 13(3), pages 627-658.
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    21. Colin Camerer, 1998. "Can asset markets be manipulated? A field experiment with racetrack betting," Natural Field Experiments 00222, The Field Experiments Website.
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    Cited by:

    1. Eaves, James & Williams, Jeffrey & Power, Gabriel J., 2016. "Do traders strategically time their pledges during real-world Walrasian auctions?," Journal of Banking & Finance, Elsevier, vol. 71(C), pages 109-118.
    2. Chester Spatt, 2014. "Security Market Manipulation," Annual Review of Financial Economics, Annual Reviews, vol. 6(1), pages 405-418, December.
    3. David Abad & Roberto Pascual, 2010. "Switching To A Temporary Call Auction In Times Of High Uncertainty," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 33(1), pages 45-75.
    4. Bruno Biais & Pierre Hillion & Chester Spatt, 1999. "Price Discovery and Learning during the Preopening Period in the Paris Bourse," Journal of Political Economy, University of Chicago Press, vol. 107(6), pages 1218-1248, December.
    5. Werner Stanzl & Gur Huberman, 2000. "Arbitrage-Free Price-Update and Price-Impact Functions," Yale School of Management Working Papers ysm164, Yale School of Management, revised 01 Jan 2001.
    6. 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.
    7. Philipp Hornung & Ulrike Leopold-Wildburger & Roland Mestel & Stefan Palan, 2015. "Insider behavior under different market structures: experimental evidence on trading patterns, manipulation, and profitability," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 23(2), pages 357-373, June.
    8. Comerton-Forde, Carole & Rydge, James, 2006. "The influence of call auction algorithm rules on market efficiency," Journal of Financial Markets, Elsevier, vol. 9(2), pages 199-222, May.
    9. Anagnostidis, Panagiotis & Kanas, Angelos & Papachristou, George, 2015. "Information revelation in the Greek exchange opening call: Daily and intraday evidence," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 38(C), pages 167-184.
    10. Tapia Torres, Miguel Ángel & Brusco, Sandro & Manzano, Carolina, 2003. "Price discovery in the pre-opening period. theory and evidence from the madrid stock exchange," DEE - Working Papers. Business Economics. WB wb035814, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
    11. Ryan Davies, 2000. "Registered trader participation during the Toronto Stock Exchange's pre-opening session," Working Papers 997, Queen's University, Department of Economics.
    12. repec:eee:finmar:v:35:y:2017:i:c:p:104-129 is not listed on IDEAS
    13. Ottaviani, Marco & Sørensen, Peter Norman, 2003. "Late Informed Betting and the Favourite-Longshot Bias," CEPR Discussion Papers 4092, C.E.P.R. Discussion Papers.
    14. Stefan Palan & Thomas Stöckl, 2014. "When chasing the offender hurts the victim: Collateral damage from insider legislation," Working Paper Series, Social and Economic Sciences 2014-03, Faculty of Social and Economic Sciences, Karl-Franzens-University Graz.
    15. Bellia, Mario & Pelizzon, Loriana & Subrahmanyam, Marti & Uno, Jun & Yuferova, Darya, 2017. "Coming early to the party," SAFE Working Paper Series 182, Research Center SAFE - Sustainable Architecture for Finance in Europe, Goethe University Frankfurt.
    16. Barclay, Michael J. & Hendershott, Terrence, 2008. "A comparison of trading and non-trading mechanisms for price discovery," Journal of Empirical Finance, Elsevier, vol. 15(5), pages 839-849, December.
    17. Davies, Ryan J., 2003. "The Toronto Stock Exchange preopening session," Journal of Financial Markets, Elsevier, vol. 6(4), pages 491-516, August.

    More about this item

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading


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