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Price discovery in the pre-opening period. theory and evidence from the madrid stock exchange

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  • Brusco, Sandro
  • Manzano, Carolina

Abstract

Some stock exchanges, such as the Spanish Stock Exchange and Euronext (Paris), allow traders to place orders in a 'pre-opening' period. Orders placed in this period are used to determine the opening price, and can be cancelled at any moment and at no cost by the traders. We consider a model in which noise traders can appear in the market before or after the opening, and a strategic informed trader decides her order strategy at the pre-opening and at the opening period. We characterize the equilibrium of such a model, showing that at the pre-opening there is a non-monotonic relation between the aggregate quantity ordered and prices. Thus, the equilibrium at the pre-opening stage is determined in a way which is fundamentally different from the equilibrium in the open market. We proceed to study the implications of the existence of a pre-opening period on information revelation and on the determination of the opening price. We present evidence from the Spanish Stock Exchange that seem to support the theoretical predictions, showing a clear different in behaviour between the market behaviour before and after the opening of the market.

Suggested Citation

  • 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.
    • Handle: RePEc:cte:wbrepe:wb035814
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    References listed on IDEAS

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    1. 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.
    2. Torben G. Andersen & Tim Bollerslev & Francis X. Diebold & Paul Labys, 1999. "The Distribution of Exchange Rate Volatility," Center for Financial Institutions Working Papers 99-08, Wharton School Center for Financial Institutions, University of Pennsylvania.
    3. Gonzalo Rubio & Mikel Tapia, 1998. "The liquidity premium in equity pricing under a continuous auction system," The European Journal of Finance, Taylor & Francis Journals, vol. 4(1), pages 1-28.
    4. de Jong, Frank & Nijman, Theo & Roell, Ailsa, 1996. "Price effects of trading and components of the bid-ask spread on the Paris Bourse," Journal of Empirical Finance, Elsevier, vol. 3(2), pages 193-213, June.
    5. de Jong, F.C.J.M. & Nijman, T.E. & Röell, A.A., 1996. "Price effects of trading and components of the bid-ask spread on the Paris Bourse," Other publications TiSEM 08f5fa19-14b7-4bc8-ba07-1, Tilburg University, School of Economics and Management.
    6. 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.
    7. Vives, Xavier, 1995. "Short-Term Investment and the Informational Efficiency of the Market," The Review of Financial Studies, Society for Financial Studies, vol. 8(1), pages 125-160.
    8. Glosten, Lawrence R, 1994. "Is the Electronic Open Limit Order Book Inevitable?," Journal of Finance, American Finance Association, vol. 49(4), pages 1127-1161, September.
    9. Martínez, Miguel Ángel & Rubio, Gonzalo, 2000. "Understanding liquidity: a closer look at the limit order book," DEE - Working Papers. Business Economics. WB 9961, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
    10. Admati, Anat R & Pfleiderer, Paul, 1989. "Divide and Conquer: A Theory of Intraday and Day-of-the-Week Mean Effects," The Review of Financial Studies, Society for Financial Studies, vol. 2(2), pages 189-223.
    11. Kerry Back & Shmuel Baruch, 2004. "Information in Securities Markets: Kyle Meets Glosten and Milgrom," Econometrica, Econometric Society, vol. 72(2), pages 433-465, March.
    12. Madhavan, Ananth & Panchapagesan, Venkatesh, 2000. "Price Discovery in Auction Markets: A Look Inside the Black Box," The Review of Financial Studies, Society for Financial Studies, vol. 13(3), pages 627-658.
    13. 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.
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    Cited by:

    1. Chakraborty, Archishman & Pagano, Michael S. & Schwartz, Robert A., 2012. "Order revelation at market openings," Journal of Financial Markets, Elsevier, vol. 15(2), pages 127-150.
    2. Robert Kelly, 2008. "Opening and Closing Asymmetry: Empirical Analysis from ISE Xetra," The Economic and Social Review, Economic and Social Studies, vol. 39(1), pages 55-78.

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