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Market composition and price informativeness in a large market with endogenous order types

Author

Listed:
  • Edouard Challe

    (X-DEP-ECO - Département d'Économie de l'École Polytechnique - X - École polytechnique - IP Paris - Institut Polytechnique de Paris, CREST - Centre de Recherche en Économie et Statistique - ENSAI - Ecole Nationale de la Statistique et de l'Analyse de l'Information [Bruz] - X - École polytechnique - IP Paris - Institut Polytechnique de Paris - ENSAE Paris - École Nationale de la Statistique et de l'Administration Économique - CNRS - Centre National de la Recherche Scientifique, Banque de France)

  • Edouard Chretien

    (CREST - Centre de Recherche en Économie et Statistique - ENSAI - Ecole Nationale de la Statistique et de l'Analyse de l'Information [Bruz] - X - École polytechnique - IP Paris - Institut Polytechnique de Paris - ENSAE Paris - École Nationale de la Statistique et de l'Administration Économique - CNRS - Centre National de la Recherche Scientifique)

Abstract

We analyse the joint determination of price informativeness and the composition of the market by order type in a large asset market with dispersed information. The market microstructure is one in which informed traders may place market orders or full demand schedules and where market makers set the price. Market-order traders trade less aggressively on their information and thus reduce the informativeness of the price; in a full market-order market, price informativeness is bounded, whatever the quality of traders'information about the asset's dividend. When traders can choose their order type and demand schedules are (even marginally) costlier than market orders, then market-order traders overwhelm the market when the precision of private signals goes to in nity. This is because demand schedules are substitutes: at high levels of precision, a residual fraction of demand-schedule traders is sufficient to take the trading price close to traders' signals, while the latter is itself well aligned with the dividend. Hence, the gain from trading conditional on the price (as demand-schedule traders do) in addition to one's own signal (as all informed traders do) vanishes.

Suggested Citation

  • Edouard Challe & Edouard Chretien, 2014. "Market composition and price informativeness in a large market with endogenous order types," Working Papers hal-01060216, HAL.
  • Handle: RePEc:hal:wpaper:hal-01060216
    Note: View the original document on HAL open archive server: https://hal.science/hal-01060216
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    References listed on IDEAS

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    1. Luís A. Medrano, 1996. "Market versus limit orders in an imperfectly competitive security," Economics Working Papers 165, Department of Economics and Business, Universitat Pompeu Fabra.
    2. Gadi Barlevy & Pietro Veronesi, 2000. "Information Acquisition in Financial Markets," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 67(1), pages 79-90.
    3. Grossman, Sanford J & Stiglitz, Joseph E, 1980. "On the Impossibility of Informationally Efficient Markets," American Economic Review, American Economic Association, vol. 70(3), pages 393-408, June.
    4. Xavier Vives, 2014. "On The Possibility Of Informationally Efficient Markets," Journal of the European Economic Association, European Economic Association, vol. 12(5), pages 1200-1239, October.
    5. Brown, David P & Zhang, Zhi Ming, 1997. "Market Orders and Market Efficiency," Journal of Finance, American Finance Association, vol. 52(1), pages 277-308, March.
    6. John K. Wald & H. T. Horrigan, 2005. "Optimal Limit Order Choice," The Journal of Business, University of Chicago Press, vol. 78(2), pages 597-620, March.
    7. Vives Xavier, 1995. "The Speed of Information Revelation in a Financial Market Mechanism," Journal of Economic Theory, Elsevier, vol. 67(1), pages 178-204, October.
    8. Miller, Edward M, 1977. "Risk, Uncertainty, and Divergence of Opinion," Journal of Finance, American Finance Association, vol. 32(4), pages 1151-1168, September.
    9. Verrecchia, Robert E, 1982. "Information Acquisition in a Noisy Rational Expectations Economy," Econometrica, Econometric Society, vol. 50(6), pages 1415-1430, November.
    10. Iván Werning & George-Marios Angeletos, 2006. "Crises and Prices: Information Aggregation, Multiplicity, and Volatility," American Economic Review, American Economic Association, vol. 96(5), pages 1720-1736, December.
    11. Peress, Joel, 2010. "The tradeoff between risk sharing and information production in financial markets," Journal of Economic Theory, Elsevier, vol. 145(1), pages 124-155, January.
    12. Grossman, Sanford J & Stiglitz, Joseph E, 1976. "Information and Competitive Price Systems," American Economic Review, American Economic Association, vol. 66(2), pages 246-253, May.
    13. Diamond, Douglas W. & Verrecchia, Robert E., 1987. "Constraints on short-selling and asset price adjustment to private information," Journal of Financial Economics, Elsevier, vol. 18(2), pages 277-311, June.
    14. Diamond, Douglas W. & Verrecchia, Robert E., 1981. "Information aggregation in a noisy rational expectations economy," Journal of Financial Economics, Elsevier, vol. 9(3), pages 221-235, September.
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    Cited by:

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    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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