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Estimating the Proportion of Informed Trade in Call Auctions

Author

Listed:
  • Juan Raposo

    (DRM - Dauphine Recherches en Management - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres - CNRS - Centre National de la Recherche Scientifique)

  • Fabrice Riva

    (DRM - Dauphine Recherches en Management - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres - CNRS - Centre National de la Recherche Scientifique)

  • Francisco Sogorb

    (Universidad Cardenal Herrera-CEU - CEU-UCH - Universidad Cardenal Herrera-CEU)

  • Jos van Bommel

    (Luxembourg School of Finance - uni.lu - Université du Luxembourg = University of Luxembourg = Universität Luxemburg)

Abstract

We show that the distribution of trading volume in call auctions is indicative of the proportion of informed trade. We use the Kyle (1985) model to predict the shape of the volume distribution as a function of the proportion of informed trade. If most liquidity demanders are uninformed, there is likely to be significant wash trade among them, resulting in Normal-like volume distributions. If most liquidity demanders are informed, their trades are correlated so that the volume distribution is skewed and has a higher coefficient of variation.

Suggested Citation

  • Juan Raposo & Fabrice Riva & Francisco Sogorb & Jos van Bommel, 2011. "Estimating the Proportion of Informed Trade in Call Auctions," Working Papers halshs-00696342, HAL.
    • Handle: RePEc:hal:wpaper:halshs-00696342
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00696342v1
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    References listed on IDEAS

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    1. Duarte, Jefferson & Young, Lance, 2009. "Why is PIN priced?," Journal of Financial Economics, Elsevier, vol. 91(2), pages 119-138, February.
    2. David Easley & Soeren Hvidkjaer & Maureen O'Hara, 2002. "Is Information Risk a Determinant of Asset Returns?," Journal of Finance, American Finance Association, vol. 57(5), pages 2185-2221, October.
    3. Charles E. Clark, 1961. "The Greatest of a Finite Set of Random Variables," Operations Research, INFORMS, vol. 9(2), pages 145-162, April.
    4. Glosten, Lawrence R. & Milgrom, Paul R., 1985. "Bid, ask and transaction prices in a specialist market with heterogeneously informed traders," Journal of Financial Economics, Elsevier, vol. 14(1), pages 71-100, March.
    5. Madhavan, Ananth & Richardson, Matthew & Roomans, Mark, 1997. "Why Do Security Prices Change? A Transaction-Level Analysis of NYSE Stocks," The Review of Financial Studies, Society for Financial Studies, vol. 10(4), pages 1035-1064.
    6. Easley, David, et al, 1996. "Liquidity, Information, and Infrequently Traded Stocks," Journal of Finance, American Finance Association, vol. 51(4), pages 1405-1436, September.
    7. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
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