IDEAS home Printed from https://ideas.repec.org/p/fam/rpseri/rp45.html
   My bibliography  Save this paper

Market Dynamics Around Public Information Arrivals

Author

Listed:
  • Angelo Ranaldo

    (UBS Asset Management)

Abstract

I analyze the impact of the arrival of public information on the intraday trading of highly liquid stocks quoted on the Paris Bourse. Using the Reuters alert system, I gather a large sample of firm-specific news and analyze market behavior around news releases. I estimate the transaction cost components around public information releases. I find that there is a disclosure impact on both trading and order flow. I also find that trading around news releases is characterized by relatively small adverse selection and order processing costs, and high order persistence.

Suggested Citation

  • Angelo Ranaldo, 2002. "Market Dynamics Around Public Information Arrivals," FAME Research Paper Series rp45, International Center for Financial Asset Management and Engineering.
  • Handle: RePEc:fam:rpseri:rp45
    as

    Download full text from publisher

    File URL: http://www.swissfinanceinstitute.ch/rp45.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Hee-Joon Ahn, 2001. "Limit Orders, Depth, and Volatility: Evidence from the Stock Exchange of Hong Kong," Journal of Finance, American Finance Association, vol. 56(2), pages 767-788, April.
    2. Bessembinder, Hendrik & Kaufman, Herbert M., 1997. "A Comparison of Trade Execution Costs for NYSE and NASDAQ-Listed Stocks," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 32(03), pages 287-310, September.
    3. Hasbrouck, Joel, 1988. "Trades, quotes, inventories, and information," Journal of Financial Economics, Elsevier, vol. 22(2), pages 229-252, December.
    4. Smith, Clifford Jr. & Watts, Ross L., 1992. "The investment opportunity set and corporate financing, dividend, and compensation policies," Journal of Financial Economics, Elsevier, vol. 32(3), pages 263-292, December.
    5. Glosten, Lawrence R. & Harris, Lawrence E., 1988. "Estimating the components of the bid/ask spread," Journal of Financial Economics, Elsevier, vol. 21(1), pages 123-142, May.
    6. Hausman, Jerry A. & Lo, Andrew W. & MacKinlay, A. Craig, 1992. "An ordered probit analysis of transaction stock prices," Journal of Financial Economics, Elsevier, vol. 31(3), pages 319-379, June.
    7. Kim, Dongcheol & Kon, Stanley J., 1999. "Structural change and time dependence in models of stock returns," Journal of Empirical Finance, Elsevier, vol. 6(3), pages 283-308, September.
    8. Biais, Bruno & Hillion, Pierre & Spatt, Chester, 1995. " An Empirical Analysis of the Limit Order Book and the Order Flow in the Paris Bourse," Journal of Finance, American Finance Association, vol. 50(5), pages 1655-1689, December.
    9. 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.
    10. 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.
    11. Hasbrouck, Joel, 1991. "The Summary Informativeness of Stock Trades: An Econometric Analysis," Review of Financial Studies, Society for Financial Studies, vol. 4(3), pages 571-595.
    12. Parlour, Christine A, 1998. "Price Dynamics in Limit Order Markets," Review of Financial Studies, Society for Financial Studies, vol. 11(4), pages 789-816.
    13. Madhavan, Ananth & Richardson, Matthew & Roomans, Mark, 1997. "Why Do Security Prices Change? A Transaction-Level Analysis of NYSE Stocks," Review of Financial Studies, Society for Financial Studies, vol. 10(4), pages 1035-1064.
    14. Diamond, Douglas W & Verrecchia, Robert E, 1991. " Disclosure, Liquidity, and the Cost of Capital," Journal of Finance, American Finance Association, vol. 46(4), pages 1325-1359, September.
    15. Ellis, Katrina & Michaely, Roni & O'Hara, Maureen, 2000. "The Accuracy of Trade Classification Rules: Evidence from Nasdaq," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 35(04), pages 529-551, December.
    16. Stoll, Hans R, 1989. " Inferring the Components of the Bid-Ask Spread: Theory and Empirical Tests," Journal of Finance, American Finance Association, vol. 44(1), pages 115-134, March.
    17. Brennan, Michael J. & Subrahmanyam, Avanidhar, 1995. "Investment analysis and price formation in securities markets," Journal of Financial Economics, Elsevier, vol. 38(3), pages 361-381, July.
    18. Ederington, Louis H & Lee, Jae Ha, 1993. " How Markets Process Information: News Releases and Volatility," Journal of Finance, American Finance Association, vol. 48(4), pages 1161-1191, September.
    19. 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.
    20. Brockman, Paul & Chung, Dennis Y, 1999. "Bid-Ask Spread Components in an Order-Driven Environment," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 22(2), pages 227-246, Summer.
    21. Jain, Prem C, 1988. "Response of Hourly Stock Prices and Trading Volume to Economic News," The Journal of Business, University of Chicago Press, vol. 61(2), pages 219-231, April.
    22. Huang, Roger D & Stoll, Hans R, 1997. "The Components of the Bid-Ask Spread: A General Approach," Review of Financial Studies, Society for Financial Studies, vol. 10(4), pages 995-1034.
    23. 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.
    24. Anat R. Admati, Paul Pfleiderer, 1988. "A Theory of Intraday Patterns: Volume and Price Variability," Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 3-40.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gomber, Peter & Schweickert, Uwe & Theissen, Erik, 2011. "Liquidity dynamics in an electronic open limit order book: An event study approach," CFR Working Papers 11-14, University of Cologne, Centre for Financial Research (CFR).

    More about this item

    Keywords

    Firm-Specific News; Public Information Arrivals; Market Microstructure; Transaction Cost; Price Formation Model; High Frequency Data; Paris Bourse;

    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:fam:rpseri:rp45. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Marilyn Barja). General contact details of provider: http://edirc.repec.org/data/fameech.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.