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Market Informational Inefficiency, Risk Aversion and Quantity Grid

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  • Décamps, Jean-Paul
  • Lovo, Stefano

Abstract

In this paper we show that long run market informational inefficiency is perfectly compatible with standard rational sequential trade models. Our inefficiency result is obtained taking into account two features of actual financial markets: tradable quantities belong to a quantity grid and traders and market makers do not have the same degree of risk aversion. The implementation of our model for reasonable values of the parameters suggests that the long term deviations between asset prices and fundamental value are important. We explain the ambiguous role of the quantity grid in exacerbating or mitigating market inefficiency. We show that stock splits can improve the information content of the order flow and consequently increase price volatility.
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Suggested Citation

  • Décamps, Jean-Paul & Lovo, Stefano, 2003. "Market Informational Inefficiency, Risk Aversion and Quantity Grid," IDEI Working Papers 177, Institut d'Économie Industrielle (IDEI), Toulouse.
  • Handle: RePEc:ide:wpaper:626
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    References listed on IDEAS

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    1. Koski, Jennifer Lynch, 1998. "Measurement Effects and the Variance of Returns after Stock Splits and Stock Dividends," Review of Financial Studies, Society for Financial Studies, vol. 11(1), pages 143-162.
    2. Yakov Amihud & Haim Mendelson & Jun Uno, 1999. "Number of Shareholders and Stock Prices: Evidence from Japan," Journal of Finance, American Finance Association, vol. 54(3), pages 1169-1184, June.
    3. Cipriani Marco & Guarino Antonio, 2008. "Herd Behavior and Contagion in Financial Markets," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 8(1), pages 1-56, October.
    4. Biais, Bruno & Glosten, Larry & Spatt, Chester S, 2002. "The Microstructure of Stock Markets," CEPR Discussion Papers 3288, C.E.P.R. Discussion Papers.
    5. Marco Cipriani & Antonio Guarino, 2005. "Herd Behavior in a Laboratory Financial Market," American Economic Review, American Economic Association, vol. 95(5), pages 1427-1443, December.
    6. Avery, Christopher & Zemsky, Peter, 1998. "Multidimensional Uncertainty and Herd Behavior in Financial Markets," American Economic Review, American Economic Association, vol. 88(4), pages 724-748, September.
    7. LOVO, Stefano & DECAMPS, Jean-Paul, 2002. "Risk aversion and herd behavior in financial markets," Les Cahiers de Recherche 758, HEC Paris.
    8. Ohlson, James A. & Penman, Stephen H., 1985. "Volatility increases subsequent to stock splits: An empirical aberration," Journal of Financial Economics, Elsevier, vol. 14(2), pages 251-266, June.
    9. Bruno Biais & David Martimort & Jean-Charles Rochet, 2000. "Competing Mechanisms in a Common Value Environment," Econometrica, Econometric Society, vol. 68(4), pages 799-838, July.
    10. 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.
    11. Bikhchandani, Sushil & Hirshleifer, David & Welch, Ivo, 1992. "A Theory of Fads, Fashion, Custom, and Cultural Change in Informational Cascades," Journal of Political Economy, University of Chicago Press, vol. 100(5), pages 992-1026, October.
    12. 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.
    13. Gottlieb, Gary & Kalay, Avner, 1985. " Implications of the Discreteness of Observed Stock Prices," Journal of Finance, American Finance Association, vol. 40(1), pages 135-153, March.
    14. Glosten, Lawrence R, 1989. "Insider Trading, Liquidity, and the Role of the Monopolist Specialist," The Journal of Business, University of Chicago Press, vol. 62(2), pages 211-235, April.
    15. Lamoureux, Christopher G & Poon, Percy, 1987. " The Market Reaction to Stock Splits," Journal of Finance, American Finance Association, vol. 42(5), pages 1347-1370, December.
    16. In Ho Lee, 1998. "Market Crashes and Informational Avalanches," Review of Economic Studies, Oxford University Press, vol. 65(4), pages 741-759.
    17. 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.
    18. Easley, David & O'Hara, Maureen, 1992. " Time and the Process of Security Price Adjustment," Journal of Finance, American Finance Association, vol. 47(2), pages 576-605, June.
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    Cited by:

    1. LOVO, Stefano & DECAMPS, Jean-Paul, 2002. "Risk aversion and herd behavior in financial markets," Les Cahiers de Recherche 758, HEC Paris.
    2. Jean-Paul Decamps & Stefano Lovo, 2006. "A note on risk aversion and herd behavior in financial markets," The Geneva Papers on Risk and Insurance Theory, Springer;International Association for the Study of Insurance Economics (The Geneva Association), vol. 31(1), pages 35-42, July.

    More about this item

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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