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Informational and Allocative Efficiency in Financial Markets with Costly Information

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  • Arina Nikandrova

    (Department of Economics, Mathematics & Statistics, Birkbeck)

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    Abstract

    Costly information acquisition is introduced into a dynamic trading model of Glosten and Milgrom (1985). The market maker and some traders, called "value traders," value the asset at its fundamental value, which can be either high or low. The remaining traders, called "liquidity traders," have idiosyncratic valuations that are independent of the fundamental. At a cost, each value trader can acquire an informative, but imperfect, signal about the fundamental. In this setting, at equilibrium, each value trader acquires the signal if and only if the uncertainty about the fundamental's value conditional on publicly available information is sufficiently high. Thus, the prices quoted by the market maker are "informationally inefficient," as they do not reveal the value of the fundamental, even in the long-run. Equilibrium amount of information acquisition is either excessive or insufficient relative to the social optimum and results in an inefficient allocation of the asset among the market maker and liquidity traders.

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    File URL: http://www.bbk.ac.uk/ems/research/wp/2014/PDFs/BWPEF1403.pdf
    File Function: First version, 2014
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    Bibliographic Info

    Paper provided by Birkbeck, Department of Economics, Mathematics & Statistics in its series Birkbeck Working Papers in Economics and Finance with number 1403.

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    Date of creation: Mar 2014
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    Handle: RePEc:bbk:bbkefp:1403

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    Related research

    Keywords: Sequential Trading; Cost of Information; Endogenous Information Acquisition.;

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    1. 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.
    2. Chari, V. V. & Kehoe, Patrick J., 2004. "Financial crises as herds: overturning the critiques," Journal of Economic Theory, Elsevier, vol. 119(1), pages 128-150, November.
    3. Banerjee, Abhijit V, 1992. "A Simple Model of Herd Behavior," The Quarterly Journal of Economics, MIT Press, vol. 107(3), pages 797-817, August.
    4. Lawrence R. Glosten & Paul R. Milgrom, 1983. "Bid, Ask and Transaction Prices in a Specialist Market with Heterogeneously Informed Traders," Discussion Papers 570, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    5. Maria Grazia Romano, 2007. "Learning, Cascades, and Transaction Costs," Review of Finance, European Finance Association, vol. 11(3), pages 527-560.
    6. Kübler, Dorothea & Weizsäcker, Georg, 2000. "Limited depth of reasoning and failure of cascade formation in the laboratory," SFB 373 Discussion Papers 2001,3, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    7. 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.
    8. Prat, Andrea & Dasgupta, Amil, 2006. "Financial equilibrium with career concerns," Theoretical Economics, Econometric Society, vol. 1(1), pages 67-93, March.
    9. Avery, Christopher & Zemsky, Peter, 1998. "Multidimensional Uncertainty and Herd Behavior in Financial Markets," American Economic Review, American Economic Association, vol. 88(4), pages 724-48, September.
    10. Andreas Park & Hamid Sabourian, 2011. "Herding and Contrarian Behavior in Financial Markets," Econometrica, Econometric Society, vol. 79(4), pages 973-1026, 07.
    11. Dasgupta, Amil & Prat, Andrea, 2008. "Information aggregation in financial markets with career concerns," Journal of Economic Theory, Elsevier, vol. 143(1), pages 83-113, November.
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