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Trading Nokia: the roles of the Helsinki vs the New York stock exchanges

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  • Jokivuolle, Esa
  • Lanne, Markku

Abstract

We use the Autoregressive Conditional Duration (ACD) framework of Engle and Russell (1998) to study the effect of trading volume on price duration (ie the time lapse between consecutive price changes) of a stock listed both in the domestic and the foreign market.As a case study we use the example of Nokia's share, which is actively traded both in the Helsinki Stock Exchange and the New York Stock Exchange (NYSE).We find asymmetry in the volume-price duration relationship between the two markets.In the NYSE the negative relationship is much stronger and exists both during and outside common trading hours.Outside common trading hours no such relationship is significant in Helsinki.Based on the theory of Easley and O'Hara (1992), these results could be interpreted in that informed investors in Nokia mainly trade in the US market whereas Helsinki is the more liquidity-oriented trading place.

Suggested Citation

  • Jokivuolle, Esa & Lanne, Markku, 2004. "Trading Nokia: the roles of the Helsinki vs the New York stock exchanges," Bank of Finland Research Discussion Papers 26/2004, Bank of Finland.
    • Handle: RePEc:zbw:bofrdp:rdp2004_026
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    1. Doidge, Craig & Karolyi, G. Andrew & Stulz, Rene M., 2004. "Why are foreign firms listed in the U.S. worth more?," Journal of Financial Economics, Elsevier, vol. 71(2), pages 205-238, February.
    2. Jones, Charles M & Kaul, Gautam & Lipson, Marc L, 1994. "Transactions, Volume, and Volatility," The Review of Financial Studies, Society for Financial Studies, vol. 7(4), pages 631-651.
    3. Pascual, Roberto & Pascual-Fuster, Bartolome & Climent, Francisco, 2006. "Cross-listing, price discovery and the informativeness of the trading process," Journal of Financial Markets, Elsevier, vol. 9(2), pages 144-161, May.
    4. 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.
    5. deB. Harris, Frederick H. & McInish, Thomas H. & Wood, Robert A., 2002. "Security price adjustment across exchanges: an investigation of common factor components for Dow stocks," Journal of Financial Markets, Elsevier, vol. 5(3), pages 277-308, July.
    6. Marco Pagano, 1989. "Trading Volume and Asset Liquidity," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 104(2), pages 255-274.
    7. G. Geoffrey Booth & Ji-Chai Lin & Teppo Martikainen & Yiuman Tse, 2002. "Trading and Pricing in Upstairs and Downstairs Stock Markets," The Review of Financial Studies, Society for Financial Studies, vol. 15(4), pages 1111-1135.
    8. Robert F. Engle & Jeffrey R. Russell, 1998. "Autoregressive Conditional Duration: A New Model for Irregularly Spaced Transaction Data," Econometrica, Econometric Society, vol. 66(5), pages 1127-1162, September.
    9. Michael Melvin & Joachim Grammig & Christian Schlag, "undated". "Price Discovery in International Equity Trading," Working Papers 2133299, Department of Economics, W. P. Carey School of Business, Arizona State University.
    10. repec:zbw:bofrdp:2004_002 is not listed on IDEAS
    11. Ding, David K. & Harris, Frederick H. deB. & Lau, Sie Ting & McInish, Thomas H., 1999. "An investigation of price discovery in informationally-linked markets: equity trading in Malaysia and Singapore," Journal of Multinational Financial Management, Elsevier, vol. 9(3-4), pages 317-329, November.
    12. Easley, David & O'Hara, Maureen, 1992. "Time and the Process of Security Price Adjustment," Journal of Finance, American Finance Association, vol. 47(2), pages 576-605, June.
    13. deB. Harris, Frederick H. & McInish, Thomas H. & Shoesmith, Gary L. & Wood, Robert A., 1995. "Cointegration, Error Correction, and Price Discovery on Informationally Linked Security Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 30(4), pages 563-579, December.
    14. Robert F. Engle, 2000. "The Econometrics of Ultra-High Frequency Data," Econometrica, Econometric Society, vol. 68(1), pages 1-22, January.
    15. 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.
    16. Kofman, Paul & Martens, Martin, 1997. "Interaction between stock markets: an analysis of the common trading hours at the London and New York stock exchange," Journal of International Money and Finance, Elsevier, vol. 16(3), pages 387-414, June.
    17. Zhang, Michael Yuanjie & Russell, Jeffrey R. & Tsay, Ruey S., 2001. "A nonlinear autoregressive conditional duration model with applications to financial transaction data," Journal of Econometrics, Elsevier, vol. 104(1), pages 179-207, August.
    18. Mayhew, Stewart & Sarin, Atulya & Shastri, Kuldeep, 1995. "The Allocation of Informed Trading across Related Markets: An Analysis of the Impact of Changes in Equity-Option Margin Requirements," Journal of Finance, American Finance Association, vol. 50(5), pages 1635-1653, December.
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    More about this item

    Keywords

    cross-listing; Autoregressive Conditional Duration; market microstructure;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G19 - Financial Economics - - General Financial Markets - - - Other

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