IDEAS home Printed from https://ideas.repec.org/p/asu/wpaper/2133299.html
   My bibliography  Save this paper

Price Discovery in International Equity Trading

Author

Abstract

This study addresses two questions: where does price discovery occur for internationally-traded firms and how do international stock prices adjust to an exchange rate shock? These questions are answered by analyzing quotes originating in New York and Frankfurt for three large German firms, DaimlerChrysler, Deutsche Telekom, and SAP, during overlapping trading hours. A high-frequency sample of quotes from both locations along with the dollar/euro exchange rate yields evidence of one cointegrating relation among the 3 variables. Vector error correction models are estimated for each firm and the associated vector moving average representations are utilized to infer the share of price discovery coming from the exchange rate, New York, and Frankfurt quotes. The evidence suggests a structure of the international equity market that has the home-market largely determining the random walk component of the international value of a firm along with an independent role for exchange rate shocks to affect prices in the U.S. markets. However, there is a significant information share for New York in the case of DaimlerChrysler and an even bigger role for New York with respect to SAP. Following a shock to the exchange rate, we find that almost all of the adjustment comes through the New York price.

Suggested Citation

  • 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.
    • Handle: RePEc:asu:wpaper:2133299
    as

    Download full text from publisher

    File URL: http://wpcarey.asu.edu/tools/mytools/pubs_admin/FILES/draft2012.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Granger, C. W. J., 1988. "Some recent development in a concept of causality," Journal of Econometrics, Elsevier, vol. 39(1-2), pages 199-211.
    2. Kim, Minho & Szakmary, Andrew C. & Mathur, Ike, 2000. "Price transmission dynamics between ADRs and their underlying foreign securities," Journal of Banking & Finance, Elsevier, vol. 24(8), pages 1359-1382, August.
    3. Chen, Song Xi, 1999. "Beta kernel estimators for density functions," Computational Statistics & Data Analysis, Elsevier, vol. 31(2), pages 131-145, August.
    4. Li, Hongyi & Maddala, G. S., 1997. "Bootstrapping cointegrating regressions," Journal of Econometrics, Elsevier, vol. 80(2), pages 297-318, October.
    5. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    6. Hasbrouck, Joel, 1995. "One Security, Many Markets: Determining the Contributions to Price Discovery," Journal of Finance, American Finance Association, vol. 50(4), pages 1175-1199, September.
    7. 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.
    8. Swanson, N.R. & Granger, C.W.J., 1994. "Impulse Response Functions Based on Causal Approach to Residual Orthogonalization in Vector Autoregressions," Papers 9-94-1, Pennsylvania State - Department of Economics.
    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. Kate Phylaktis & Gikas Manalis, 2005. "Price transmission dynamics between informationally linked securities," Applied Financial Economics, Taylor & Francis Journals, vol. 15(3), pages 187-201.
    2. Chan, Justin S.P. & Hong, Dong & Subrahmanyam, Marti G., 2008. "A tale of two prices: Liquidity and asset prices in multiple markets," Journal of Banking & Finance, Elsevier, vol. 32(6), pages 947-960, June.
    3. Karolyi, G. Andrew, 2003. "DaimlerChrysler AG, the first truly global share," Journal of Corporate Finance, Elsevier, vol. 9(4), pages 409-430, September.
    4. 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.
    5. 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.
    6. Kees G. Koedijk & Mathijs A. Van Dijk, 2004. "The Cost of Capital of Cross‐listed Firms," European Financial Management, European Financial Management Association, vol. 10(3), pages 465-486, September.
    7. Theissen, Erik, 2003. "Organized equity markets in Germany," CFS Working Paper Series 2003/17, Center for Financial Studies (CFS).
    8. Kaltenhäuser, Bernd, 2001. "Explaining the Dollar-Euro rate: Do stock market returns mater?," CFS Working Paper Series 2001/06, Center for Financial Studies (CFS).
    9. Albert J. Menkveld & Siem Jan Koopman & André Lucas, 2003. "Round-the-Clock Price Discovery for Cross-Listed Stocks: US-Dutch Evidence," Tinbergen Institute Discussion Papers 03-037/2, Tinbergen Institute, revised 13 Oct 2003.
    10. Liu, Qingfu & An, Yunbi, 2011. "Information transmission in informationally linked markets: Evidence from US and Chinese commodity futures markets," Journal of International Money and Finance, Elsevier, vol. 30(5), pages 778-795, September.

    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. Grammig, Joachim & Melvin, Michael & Schlag, Christian, 2005. "Internationally cross-listed stock prices during overlapping trading hours: price discovery and exchange rate effects," Journal of Empirical Finance, Elsevier, vol. 12(1), pages 139-164, January.
    2. Qadan, Mahmoud, 2018. "Switches in price discovery: Are U.S. traders more qualified in making valuations?," The North American Journal of Economics and Finance, Elsevier, vol. 44(C), pages 221-234.
    3. Theissen, Erik, 2002. "Price discovery in floor and screen trading systems," Journal of Empirical Finance, Elsevier, vol. 9(4), pages 455-474, November.
    4. Chen, Haiqiang & Choi, Paul Moon Sub & Hong, Yongmiao, 2013. "How smooth is price discovery? Evidence from cross-listed stock trading," Journal of International Money and Finance, Elsevier, vol. 32(C), pages 668-699.
    5. 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.
    6. Kai Liu & Atsushi Koike & Yueying Mu, 2020. "Price Risks and the Lead-Lag Relationship between the Futures and Spot Prices of Soybean, Wheat and Corn," Asian Journal of Economic Modelling, Asian Economic and Social Society, vol. 8(1), pages 76-88, March.
    7. Wesseh, Presley K. & Zoumara, Babette, 2012. "Causal independence between energy consumption and economic growth in Liberia: Evidence from a non-parametric bootstrapped causality test," Energy Policy, Elsevier, vol. 50(C), pages 518-527.
    8. Marques, André M. & Carvalho, André R., 2022. "Testing the neo-fisherian hypothesis in Brazil," The Quarterly Review of Economics and Finance, Elsevier, vol. 86(C), pages 407-419.
    9. Chen, Haiqiang & Choi, Paul Moon Sub & Kim, Hyunseob, 2008. "American depositary receipts: Asia-Pacific evidence on convergence and dynamics," Journal of Multinational Financial Management, Elsevier, vol. 18(4), pages 346-368, October.
    10. Bley, Jorg, 2009. "European stock market integration: Fact or fiction?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(5), pages 759-776, December.
    11. Liu, Qingfu & An, Yunbi, 2011. "Information transmission in informationally linked markets: Evidence from US and Chinese commodity futures markets," Journal of International Money and Finance, Elsevier, vol. 30(5), pages 778-795, September.
    12. Paolo Pagnottoni & Thomas Dimpfl, 2019. "Price discovery on Bitcoin markets," Digital Finance, Springer, vol. 1(1), pages 139-161, November.
    13. repec:wyi:journl:002166 is not listed on IDEAS
    14. Tse, Yiuman & Xiang, Ju, 2005. "Market quality and price discovery: Introduction of the E-mini energy futures," Global Finance Journal, Elsevier, vol. 16(2), pages 164-179, December.
    15. Chen, Haiqiang & Choi, Paul Moon Sub, 2012. "Does information vault Niagara Falls? Cross-listed trading in New York and Toronto," Journal of Empirical Finance, Elsevier, vol. 19(2), pages 175-199.
    16. Lok, Emily & Kalev, Petko S., 2006. "The intraday price behaviour of Australian and New Zealand cross-listed stocks," International Review of Financial Analysis, Elsevier, vol. 15(4-5), pages 377-397.
    17. Taufiq Choudhry & Mohammad Hasan, 2008. "Exchange Rate Regime and Demand for Reserves: Evidence from Kenya, Mexico and Philippines," Open Economies Review, Springer, vol. 19(2), pages 167-181, April.
    18. Mehdi Abid & Rafaa Mraihi, 2015. "Energy Consumption and Industrial Production: Evidence from Tunisia at Both Aggregated and Disaggregated Levels," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 6(4), pages 1123-1137, December.
    19. Korczak, Piotr & Phylaktis, Kate, 2010. "Related securities and price discovery: Evidence from NYSE-listed Non-U.S. stocks," Journal of Empirical Finance, Elsevier, vol. 17(4), pages 566-584, September.
    20. Wilton Bernardino & João B. Amaral & Nelson L. Paes & Raydonal Ospina & José L. Távora, 2022. "A statistical investigation of a stock valuation model," SN Business & Economics, Springer, vol. 2(8), pages 1-25, August.
    21. Roberto Cellini & Tiziana Cuccia, 2013. "Museum and monument attendance and tourism flow: a time series analysis approach," Applied Economics, Taylor & Francis Journals, vol. 45(24), pages 3473-3482, August.

    More about this item

    JEL classification:

    • F30 - International Economics - - International Finance - - - General
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:asu:wpaper:2133299. 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: Steve Salik The email address of this maintainer does not seem to be valid anymore. Please ask Steve Salik to update the entry or send us the correct address (email available below). General contact details of provider: https://edirc.repec.org/data/deasuus.html .

    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.