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The effect of a closing call auction on market quality and trading strategies

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  • Kandel, Eugene
  • Rindi, Barbara
  • Bosetti, Luisella

Abstract

We study the effects of the introduction of a closing auction (CA) on the microstructure on the continuous trading phase in Borsa Italiana and Paris Bourse. We postulate and compare several empirical predictions based on both standard Kyle-type models and more recent models of limit order book. We find that while the CA has no effect during most of the day, its effect on the last minutes of trading is dramatic. We document a sharp decline in volume, associated with a significant reduction in spread and volatility, and an increase in aggressiveness of liquidity suppliers during the last minutes. We show that the differences in the Reference Price algorithm between Milan and Paris have a significant effect: the CA attracts greater volumes when the Reference Price is equated to the CA price.

Suggested Citation

  • Kandel, Eugene & Rindi, Barbara & Bosetti, Luisella, 2012. "The effect of a closing call auction on market quality and trading strategies," Journal of Financial Intermediation, Elsevier, vol. 21(1), pages 23-49.
    • Handle: RePEc:eee:jfinin:v:21:y:2012:i:1:p:23-49
    DOI: 10.1016/j.jfi.2011.03.002
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    1. Foucault, Thierry, 1998. "Order Flow Composition and Trading Costs in Dynamic Limit Order Markets," CEPR Discussion Papers 1817, C.E.P.R. Discussion Papers.
    2. Thierry Foucault & Ohad Kadan & Eugene Kandel, 2005. "Limit Order Book as a Market for Liquidity," The Review of Financial Studies, Society for Financial Studies, vol. 18(4), pages 1171-1217.
    3. Admati, Anat R & Pfleiderer, Paul, 1991. "Sunshine Trading and Financial Market Equilibrium," The Review of Financial Studies, Society for Financial Studies, vol. 4(3), pages 443-481.
    4. Hillion, Pierre & Suominen, Matti, 2004. "The manipulation of closing prices," Journal of Financial Markets, Elsevier, vol. 7(4), pages 351-375, October.
    5. Keim, Donald B. & Madhavan, Ananth, 1995. "Anatomy of the trading process Empirical evidence on the behavior of institutional traders," Journal of Financial Economics, Elsevier, vol. 37(3), pages 371-398, March.
    6. McInish, Thomas H & Wood, Robert A, 1992. "An Analysis of Intraday Patterns in Bid/Ask Spreads for NYSE Stocks," Journal of Finance, American Finance Association, vol. 47(2), pages 753-764, June.
    7. Ron Kaniel & Hong Liu, 2006. "So What Orders Do Informed Traders Use?," The Journal of Business, University of Chicago Press, vol. 79(4), pages 1867-1914, July.
    8. Pagano, Michael S. & Peng, Lin & Schwartz, Robert A., 2008. "The quality of price formation at market openings and closings: Evidence from the Nasdaq stock market," CFS Working Paper Series 2008/45, Center for Financial Studies (CFS).
    9. Ellul, Andrew & Shin, Hyun Song & Tonks, Ian, 2005. "Opening and Closing the Market: Evidence from the London Stock Exchange," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 40(4), pages 779-801, December.
    10. Bessembinder, Hendrik & Hertzel, Michael G, 1993. "Return Autocorrelations around Nontrading Days," The Review of Financial Studies, Society for Financial Studies, vol. 6(1), pages 155-189.
    11. Ioanid Rosu, 2009. "A Dynamic Model of the Limit Order Book," The Review of Financial Studies, Society for Financial Studies, vol. 22(11), pages 4601-4641, November.
    12. Foucault, Thierry, 1999. "Order flow composition and trading costs in a dynamic limit order market1," Journal of Financial Markets, Elsevier, vol. 2(2), pages 99-134, May.
    13. 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.
    14. Foster, F. Douglas & Viswanathan, S., 1994. "Strategic Trading with Asymmetrically Informed Traders and Long-Lived Information," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 29(4), pages 499-518, December.
    15. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    16. Ioanid Rosu, 2009. "A Dynamic Model of the Limit Order Book," Post-Print hal-00515873, HAL.
    17. Michael Aitken & Carole Comerton‐Forde & Alex Frino, 2005. "Closing call auctions and liquidity," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 45(4), pages 501-518, December.
    18. Comerton-Forde, Carole & Rydge, James, 2006. "The influence of call auction algorithm rules on market efficiency," Journal of Financial Markets, Elsevier, vol. 9(2), pages 199-222, May.
    19. Anat R. Admati, Paul Pfleiderer, 1988. "A Theory of Intraday Patterns: Volume and Price Variability," The Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 3-40.
    20. Sabrina Buti & Barbara Rindi, 2011. "Undisclosed Orders and Optimal Submission Strategies in a Dynamic Limit Order Market," Working Papers 389, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
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    More about this item

    Keywords

    Market design; Reference price; Closing auction; Closing price; Market quality; Price discovery; Liquidity provision;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation

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