IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!) to save this article

Housewives of Tokyo versus the gnomes of Zurich: Measuring price discovery in sequential markets

  • Wang, Jianxin
  • Yang, Minxian

This paper presents two methods to measure market-specific contributions to price discovery in non-overlapping sequential markets: one is a non-parametric approach using high-frequency data and the other is a structural VAR model based on open-to-close returns. The methods complement the existing methodologies for comparing price discovery in parallel markets. Using these methods, we estimate the information shares of four sequential markets for the trading of AUD, JPY, EUR, and GBP against USD over an eight-year period. We find that price discovery in the foreign exchange markets are still dominated by Europe and the United States, particularly the London-New York overlapping trading hours. Asia is losing information shares to Europe in the trading of AUD and JPY. The significance of the "housewives of Tokyo" in currency trading may have been overstated.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.sciencedirect.com/science/article/pii/S1386-4181(10)00034-0
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 under "Related research" (further below) or search for a different version of it.

Article provided by Elsevier in its journal Journal of Financial Markets.

Volume (Year): 14 (2011)
Issue (Month): 1 (February)
Pages: 82-108

as
in new window

Handle: RePEc:eee:finmar:v:14:y:2011:i:1:p:82-108
Contact details of provider: Web page: http://www.elsevier.com/locate/finmar

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Barclay, Michael J. & Hendershott, Terrence, 2008. "A comparison of trading and non-trading mechanisms for price discovery," Journal of Empirical Finance, Elsevier, vol. 15(5), pages 839-849, December.
  2. Martin D.D. Evans & Richard K. Lyons, 2005. "Meese-Rogoff Redux: Micro-Based Exchange Rate Forecasting," NBER Working Papers 11042, National Bureau of Economic Research, Inc.
  3. Yacine Aït-Sahalia, 2005. "How Often to Sample a Continuous-Time Process in the Presence of Market Microstructure Noise," Review of Financial Studies, Society for Financial Studies, vol. 18(2), pages 351-416.
  4. Aït-Sahalia, Yacine & Mancini, Loriano, 2008. "Out of sample forecasts of quadratic variation," Journal of Econometrics, Elsevier, vol. 147(1), pages 17-33, November.
  5. Carpenter, Andrew & Wang, Jianxin, 2007. "Herding and the information content of trades in the Australian dollar market," Pacific-Basin Finance Journal, Elsevier, vol. 15(2), pages 173-194, April.
  6. Gonzalo, J. & Granger, C., 1992. "Estimation of Common Long-Memory Components in Cointegrated Systems," Papers 4, Boston University - Department of Economics.
  7. Gonzalo, Jesús & Figuerola-Ferretti, Isabel, 2008. "Modelling and Measuring Price Discovery in Commodity Markets," DEE - Working Papers. Business Economics. WB 15951, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
  8. Menkveld, Albert J. & Koopman, Siem Jan & Lucas, Andre, 2007. "Modeling Around-the-Clock Price Discovery for Cross-Listed Stocks Using State Space Methods," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 213-225, April.
  9. Evans, Martin D. & Lyons, Richard K., 1999. "Order Flow and Exchange Rate Dynamics," Research Program in Finance, Working Paper Series qt0dh1c16w, Research Program in Finance, Institute for Business and Economic Research, UC Berkeley.
  10. Torben G. Andersen, 2001. "Variance-ratio Statistics and High-frequency Data: Testing for Changes in Intraday Volatility Patterns," Journal of Finance, American Finance Association, vol. 56(1), pages 305-327, 02.
  11. Anderson, Torben G. & Bollerslev, Tim & Diebold, Francis X. & Labys, Paul, 2002. "Modeling and Forecasting Realized Volatility," Working Papers 02-12, Duke University, Department of Economics.
  12. Martin D. D. Evans & Richard K. Lyons, 2003. "How is Macro News Transmitted to Exchange Rates?," NBER Working Papers 9433, National Bureau of Economic Research, Inc.
  13. Lehmann, Bruce N., 2002. "Some desiderata for the measurement of price discovery across markets," Journal of Financial Markets, Elsevier, vol. 5(3), pages 259-276, July.
  14. Agarwal, Sumit & Liu, Chunlin & Rhee, S. Ghon, 2007. "Where does price discovery occur for stocks traded in multiple markets? Evidence from Hong Kong and London," Journal of International Money and Finance, Elsevier, vol. 26(1), pages 46-63, February.
  15. Sugato Chakravarty & Huseyin Gulen & Stewart Mayhew, 2004. "Informed Trading in Stock and Option Markets," Journal of Finance, American Finance Association, vol. 59(3), pages 1235-1258, 06.
  16. Lan Zhang & Per A. Mykland & Yacine Ait-Sahalia, 2003. "A Tale of Two Time Scales: Determining Integrated Volatility with Noisy High Frequency Data," NBER Working Papers 10111, National Bureau of Economic Research, Inc.
  17. Ito, T. & Lyons, R. & Melvin, M.T., 1997. "Is There Private Information on the FX Market? The Tokyo Experiment," Papers 97-04, Economisch Institut voor het Midden en Kleinbedrijf-.
  18. Whitney K. Newey & Kenneth D. West, 1994. "Automatic Lag Selection in Covariance Matrix Estimation," Review of Economic Studies, Oxford University Press, vol. 61(4), pages 631-653.
  19. Hansen, Peter R. & Lunde, Asger, 2006. "Realized Variance and Market Microstructure Noise," Journal of Business & Economic Statistics, American Statistical Association, vol. 24, pages 127-161, April.
  20. Evans, Martin D. D. & Lyons, Richard K., 2002. "Informational integration and FX trading," Journal of International Money and Finance, Elsevier, vol. 21(6), pages 807-831, November.
  21. Davies, Ryan J., 2003. "The Toronto Stock Exchange preopening session," Journal of Financial Markets, Elsevier, vol. 6(4), pages 491-516, August.
  22. David A. Hsieh & Allan W. Kleidon, 1996. "Bid-Ask Spreads in Foreign Exchange Markets: Implications for Models of Asymmetric Information," NBER Chapters, in: The Microstructure of Foreign Exchange Markets, pages 41-72 National Bureau of Economic Research, Inc.
  23. Bartolomé Pascual-Fuster & Francisco Climent & Roberto Pascual, 2003. "Cross-Listing, Price Discovery And The Informativeness Of The Trading Process," Working Papers. Serie EC 2003-21, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
  24. Bandi, Federico M. & Russell, Jeffrey R., 2006. "Separating microstructure noise from volatility," Journal of Financial Economics, Elsevier, vol. 79(3), pages 655-692, March.
  25. Jeremy Berkowitz & Lutz Kilian, 2000. "Recent developments in bootstrapping time series," Econometric Reviews, Taylor & Francis Journals, vol. 19(1), pages 1-48.
  26. Lieberman, Offer & Ben-Zion, Uri & Hauser, Shmuel, 1999. "A characterization of the price behavior of international dual stocks: an error correction approach," Journal of International Money and Finance, Elsevier, vol. 18(2), pages 289-304, February.
  27. Charles Cao & Eric Ghysels & Frank Hatheway, 2000. "Price Discovery without Trading: Evidence from the Nasdaq Preopening," Journal of Finance, American Finance Association, vol. 55(3), pages 1339-1365, 06.
  28. Joachim Grammig & Michael Melvin & Christian Schlag, 2005. "Internationally Cross-Listed Stock Prices During Overlapping Trading Hours: Price Discovery and Exchange Rate Effects," Working Paper Series: Finance and Accounting 78, Department of Finance, Goethe University Frankfurt am Main.
  29. Kiyohiko G. Nishimura, 2007. "Increased Diversity and Deepened Uncertainty: Policy Challenges in a Zero-Inflation Economy," International Finance, Wiley Blackwell, vol. 10(3), pages 281-300, December.
  30. French, Kenneth R., 1980. "Stock returns and the weekend effect," Journal of Financial Economics, Elsevier, vol. 8(1), pages 55-69, March.
  31. Michael J. Barclay, 2003. "Price Discovery and Trading After Hours," Review of Financial Studies, Society for Financial Studies, vol. 16(4), pages 1041-1073.
  32. Fulvio Corsi, 2009. "A Simple Approximate Long-Memory Model of Realized Volatility," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 7(2), pages 174-196, Spring.
  33. Meese, Richard A. & Rogoff, Kenneth, 1983. "Empirical exchange rate models of the seventies : Do they fit out of sample?," Journal of International Economics, Elsevier, vol. 14(1-2), pages 3-24, February.
  34. Hupperets, Erik C. J. & Menkveld, Albert J., 2002. "Intraday analysis of market integration: Dutch blue chips traded in Amsterdam and New York," Journal of Financial Markets, Elsevier, vol. 5(1), pages 57-82, January.
  35. Covrig, Vicentiu & Melvin, Michael, 2002. "Asymmetric information and price discovery in the FX market: does Tokyo know more about the yen?," Journal of Empirical Finance, Elsevier, vol. 9(3), pages 271-285, August.
  36. Geir Hoidal Bjonnes & Dagfinn Rime & Haakon O. Aa. Solheim, 2003. "Volume and Volatility in the FX Market: Does it matter who you are?," Working Paper 2003/7, Norges Bank.
  37. Cai, Jun & Cheung, Yan-Leung & Lee, Raymond S. K. & Melvin, Michael, 2001. "'Once-in-a-generation' yen volatility in 1998: fundamentals, intervention, and order flow," Journal of International Money and Finance, Elsevier, vol. 20(3), pages 327-347, June.
  38. Hasbrouck, Joel, 1995. " One Security, Many Markets: Determining the Contributions to Price Discovery," Journal of Finance, American Finance Association, vol. 50(4), pages 1175-99, September.
  39. Martin D. D. Evans & Richard K. Lyons, 2007. "Exchange Rate Fundamentals and Order Flow," NBER Working Papers 13151, National Bureau of Economic Research, Inc.
  40. 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.
  41. Yan, Bingcheng & Zivot, Eric, 2010. "A structural analysis of price discovery measures," Journal of Financial Markets, Elsevier, vol. 13(1), pages 1-19, February.
  42. Torben G. Andersen & Luca Benzoni, 2008. "Realized volatility," Working Paper Series WP-08-14, Federal Reserve Bank of Chicago.
  43. Michael J. Barclay & Terrence Hendershott, 2004. "Liquidity Externalities and Adverse Selection: Evidence from Trading after Hours," Journal of Finance, American Finance Association, vol. 59(2), pages 681-710, 04.
  44. Bingcheng Yan & Eric Zivot, 2007. "The Dynamics of Price Discovery," Working Papers UWEC-2005-01-R, University of Washington, Department of Economics, revised Mar 2007.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:eee:finmar:v:14:y:2011:i:1:p:82-108. 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: (Zhang, Lei)

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 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.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.