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Structural breaks in point processes: With an application to reporting delays for trades on the New York stock exchange

Author

Listed:
  • Andersson, Jonas

    (Dept. of Finance and Management Science, Norwegian School of Economics and Business Administration)

  • Moberg, Jan-Magnus

    (Dept. of Finance and Management Science, Norwegian School of Economics and Business Administration)

Abstract

In this paper some methods to determine the reporting delays for trades on the New York stock exchange are proposed and compared. The most successful method is based on a simple model of the quote revision process and a bootstrap procedure. In contrast to previous methods it accounts for autocorrelation and for variation originating both from the quote process itself and from estimation errors. This is obtained by the use of prediction intervals. The ability of the methods to determine when a trade has occurred is studied and compared with a previous method by Vergote (2005). This is done by means of a simulation study. An extensive empirical study shows the applicability of the method and that more reasonable results are obtained when accounting for autocorrelation and estimation uncertainty.

Suggested Citation

  • Andersson, Jonas & Moberg, Jan-Magnus, 2007. "Structural breaks in point processes: With an application to reporting delays for trades on the New York stock exchange," Discussion Papers 2007/28, Norwegian School of Economics, Department of Business and Management Science.
    • Handle: RePEc:hhs:nhhfms:2007_028
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    File URL: http://hdl.handle.net/11250/163910
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    References listed on IDEAS

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    1. Engle, Robert F. & Patton, Andrew J., 2004. "Impacts of trades in an error-correction model of quote prices," Journal of Financial Markets, Elsevier, vol. 7(1), pages 1-25, January.
    2. Kalok Chan & Y. Peter Chung & Wai-Ming Fong, 2002. "The Informational Role of Stock and Option Volume," The Review of Financial Studies, Society for Financial Studies, vol. 15(4), pages 1049-1075.
    3. Kryzanowski, Lawrence & Zhang, Hao, 2002. "Intraday Market Price Integration for Shares Cross-Listed Internationally," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 37(2), pages 243-269, June.
    4. Huang, Roger D & Stoll, Hans R, 1997. "The Components of the Bid-Ask Spread: A General Approach," The Review of Financial Studies, Society for Financial Studies, vol. 10(4), pages 995-1034.
    5. Lee, Charles M C & Ready, Mark J, 1991. "Inferring Trade Direction from Intraday Data," Journal of Finance, American Finance Association, vol. 46(2), pages 733-746, June.
    6. Busse, Jeffrey A. & Clifton Green, T., 2002. "Market efficiency in real time," Journal of Financial Economics, Elsevier, vol. 65(3), pages 415-437, September.
    7. Clifford A. Ball & Tarun Chordia, 2001. "True Spreads and Equilibrium Prices," Journal of Finance, American Finance Association, vol. 56(5), pages 1801-1835, October.
    8. Tarun Chordia & Richard Roll & Avanidhar Subrahmanyam, 2001. "Market Liquidity and Trading Activity," Journal of Finance, American Finance Association, vol. 56(2), pages 501-530, April.
    9. Chordia, Tarun & Roll, Richard & Subrahmanyam, Avanidhar, 2002. "Order imbalance, liquidity, and market returns," Journal of Financial Economics, Elsevier, vol. 65(1), pages 111-130, July.
    10. Easley, David & O'Hara, Maureen & Saar, Gideon, 2001. "How Stock Splits Affect Trading: A Microstructure Approach," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 36(1), pages 25-51, March.
    11. Henker, Thomas & Wang, Jian-Xin, 2006. "On the importance of timing specifications in market microstructure research," Journal of Financial Markets, Elsevier, vol. 9(2), pages 162-179, May.
    12. Roger Edelen & Simon Gervais, 2003. "The Role of Trading Halts in Monitoring a Specialist Market," The Review of Financial Studies, Society for Financial Studies, vol. 16(1), pages 263-300.
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    More about this item

    Keywords

    Quote revisions; bootstrap procedure; simulation;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General

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