IDEAS home Printed from https://ideas.repec.org/a/eee/jbfina/v20y1996i7p1161-1187.html
   My bibliography  Save this article

Information, trading and stock returns: Lessons from dually-listed securities

Author

Listed:
  • Chan, K. C.
  • Fong, Wai-Ming
  • Kho, Bong-Chan
  • Stulz, ReneM.

Abstract

This paper compares the intra-day patterns on the NYSE and AMEX of volatility, trading volume and bid-ask spreads for European dually- listed stocks, Japanese dually-listed stocks also listed in London, and Japanese dually-listed stocks not listed in London with American stocks of comparable average trading volume and volatility. It is shown that the intra-day patterns for these stocks are remarkably similar even though the public information flows differ markedly across these stocks during the trading day. In the morning, Japanese stocks have the greatest volatility and volume, followed by European stocks and American stocks. These rankings are reversed in the afternoon. We argue that these patterns are consistent with markets reacting to the overnight accumulation of public information which is greatest for Japanese stock and smallest for American stocks and inconsistent with the view that early morning volatility can be attributed to monopolistic specialist behavior.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Chan, K. C. & Fong, Wai-Ming & Kho, Bong-Chan & Stulz, ReneM., 1996. "Information, trading and stock returns: Lessons from dually-listed securities," Journal of Banking & Finance, Elsevier, vol. 20(7), pages 1161-1187, August.
    • Handle: RePEc:eee:jbfina:v:20:y:1996:i:7:p:1161-1187
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0378-4266(95)00041-0
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. H. McInish, Thomas & Wood, Robert A., 1990. "A transactions data analysis of the variability of common stock returns during 1980-1984," Journal of Banking & Finance, Elsevier, vol. 14(1), pages 99-112, March.
    2. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    3. Hasbrouck, Joel, 1991. "Measuring the Information Content of Stock Trades," Journal of Finance, American Finance Association, vol. 46(1), pages 179-207, March.
    4. Wood, Robert A & McInish, Thomas H & Ord, J Keith, 1985. "An Investigation of Transactions Data for NYSE Stocks," Journal of Finance, American Finance Association, vol. 40(3), pages 723-739, July.
    5. Foster, F Douglas & Viswanathan, S, 1993. "Variations in Trading Volume, Return Volatility, and Trading Costs: Evidence on Recent Price Formation Models," Journal of Finance, American Finance Association, vol. 48(1), pages 187-211, 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. Amihud, Yakov & Mendelson, Haim, 1991. "Volatility, Efficiency, and Trading: Evidence from the Japanese Stock Market," Journal of Finance, American Finance Association, vol. 46(5), pages 1765-1789, December.
    8. 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.
    9. French, Kenneth R. & Roll, Richard, 1986. "Stock return variances : The arrival of information and the reaction of traders," Journal of Financial Economics, Elsevier, vol. 17(1), pages 5-26, September.
    10. Hasbrouck, Joel, 1991. "The Summary Informativeness of Stock Trades: An Econometric Analysis," The Review of Financial Studies, Society for Financial Studies, vol. 4(3), pages 571-595.
    11. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    12. Harris, Milton & Raviv, Artur, 1993. "Differences of Opinion Make a Horse Race," The Review of Financial Studies, Society for Financial Studies, vol. 6(3), pages 473-506.
    13. Harris, Lawrence, 1989. "A Day-End Transaction Price Anomaly," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 24(1), pages 29-45, March.
    14. Barclay, Michael J & Litzenberger, Robert H & Warner, Jerold B, 1990. "Private Information, Trading Volume, and Stock-Return Variances," The Review of Financial Studies, Society for Financial Studies, vol. 3(2), pages 233-253.
    15. Allan W. Kleidon & Ingrid M. Werner, 1993. "Round-the-clock Trading: Evidence from U.K. Cross-Listed Securities," NBER Working Papers 4410, National Bureau of Economic Research, Inc.
    16. Harris, Lawrence, 1986. "A transaction data study of weekly and intradaily patterns in stock returns," Journal of Financial Economics, Elsevier, vol. 16(1), pages 99-117, May.
    17. Stoll, Hans R & Whaley, Robert E, 1990. "Stock Market Structure and Volatility," The Review of Financial Studies, Society for Financial Studies, vol. 3(1), pages 37-71.
    18. Jain, Prem C. & Joh, Gun-Ho, 1988. "The Dependence between Hourly Prices and Trading Volume," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 23(3), pages 269-283, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bildik, Recep, 2001. "Intra-day seasonalities on stock returns: evidence from the Turkish Stock Market," Emerging Markets Review, Elsevier, vol. 2(4), pages 387-417, December.
    2. Goodhart, Charles A. E. & O'Hara, Maureen, 1997. "High frequency data in financial markets: Issues and applications," Journal of Empirical Finance, Elsevier, vol. 4(2-3), pages 73-114, June.
    3. Pascual, Roberto & Escribano, Álvaro & Tapia, Mikel, 2000. "Adverse selection costs, trading activity and liquidity in the NYSE: an empirical analysis in a dynamic context," UC3M Working papers. Economics 7276, Universidad Carlos III de Madrid. Departamento de Economía.
    4. Pascual, Roberto & Escribano, Alvaro & Tapia, Mikel, 2004. "Adverse selection costs, trading activity and price discovery in the NYSE: An empirical analysis," Journal of Banking & Finance, Elsevier, vol. 28(1), pages 107-128, January.
    5. Madhavan, Ananth, 2000. "Market microstructure: A survey," Journal of Financial Markets, Elsevier, vol. 3(3), pages 205-258, August.
    6. Harrison Hong & Jiang Wang, 2000. "Trading and Returns under Periodic Market Closures," Journal of Finance, American Finance Association, vol. 55(1), pages 297-354, February.
    7. Tse, Yiuman, 1999. "Round-the-clock market efficiency and home bias: Evidence from the international Japanese government bonds futures markets," Journal of Banking & Finance, Elsevier, vol. 23(12), pages 1831-1860, December.
    8. Kaplanski, Guy & Levy, Haim, 2015. "Trading breaks and asymmetric information: The option markets," Journal of Banking & Finance, Elsevier, vol. 58(C), pages 390-404.
    9. Michael J. Fleming & Eli M. Remolona, 1996. "Price formation and liquidity in the U.S. treasuries market: evidence from intraday patterns around announcements," Research Paper 9633, Federal Reserve Bank of New York.
    10. Takatoshi Ito & Richard K. Lyons & Michael T. Melvin, 1996. "Is There Private Information in the FX Market? The Tokyo Experiment," Working Papers _005, University of California at Berkeley, Haas School of Business.
    11. Torben G. Anderson & Tim Bollerslev & Ashish Das, 1998. "Testing for Market Microstructure Effects in Intraday Volatility: A Reassessment of the Tokyo FX Experiment," NBER Working Papers 6666, National Bureau of Economic Research, Inc.
    12. Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2015. "Wave function method to forecast foreign currencies exchange rates at ultra high frequency electronic trading in foreign currencies exchange markets," MPRA Paper 67470, University Library of Munich, Germany.
    13. Chan, Kalok & Chockalingam, Mark & Lai, Kent W. L., 2000. "Overnight information and intraday trading behavior: evidence from NYSE cross-listed stocks and their local market information," Journal of Multinational Financial Management, Elsevier, vol. 10(3-4), pages 495-509, December.
    14. Jones, Charles M. & Kaul, Gautam & Lipson, Marc L., 1994. "Information, trading, and volatility," Journal of Financial Economics, Elsevier, vol. 36(1), pages 127-154, August.
    15. Chelley-Steeley, Patricia & Park, Keebong, 2011. "Intraday patterns in London listed Exchange Traded Funds," International Review of Financial Analysis, Elsevier, vol. 20(5), pages 244-251.
    16. Fan, Yu-Ju & Lai, Hung-Neng, 2006. "The intraday effect and the extension of trading hours for Taiwanese securities," International Review of Financial Analysis, Elsevier, vol. 15(4-5), pages 328-347.
    17. George, Thomas J & Hwang, Chuan-Yang, 2001. "Information Flow and Pricing Errors: A Unified Approach to Estimation and Testing," The Review of Financial Studies, Society for Financial Studies, vol. 14(4), pages 979-1020.
    18. Lang, Larry H. P. & Lee, Yi Tsung, 1999. "Performance of various transaction frequencies under call markets: The case of Taiwan," Pacific-Basin Finance Journal, Elsevier, vol. 7(1), pages 23-39, February.
    19. Chang, Shao-Chi & Chen, Sheng-Syan & Chou, Robin K. & Lin, Yueh-Hsiang, 2008. "Weather and intraday patterns in stock returns and trading activity," Journal of Banking & Finance, Elsevier, vol. 32(9), pages 1754-1766, September.
    20. deB. Harris, Frederick H. & McInish, Thomas H. & Chakravarty, Ranjan R., 1995. "Bids and asks in disequilibrium market microstructure: The case of IBM," Journal of Banking & Finance, Elsevier, vol. 19(2), pages 323-345, May.

    More about this item

    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:eee:jbfina:v:20:y:1996:i:7:p:1161-1187. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jbf .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.