IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

Is exchange rate – customer order flow relationship linear? Evidence from the Hungarian FX market

  • Yuliya Lovcha

    ()

    (University of Alicante)

  • Alejandro Perez-Laborda

    ()

    (University of Alicante)

over the last decade, the microstructure approach to exchange rates has become very popular. The underlying idea of this approach is that the order flows at different levels of aggregation contain valuable information to explain exchange rate movements. The bulk of empirical literature has focused on evaluating this hypothesis in a linear framework. This paper analyzes nonlinearities in the relation between exchange rates and customer order flows. We show that the relationship evolves over time and that it is different under different market conditions defined by exchange rate volatility. Further, we found that the nonlinearity can be captured successfully by the Threshold regression and Markov Switching models, which provide substantial explanatory power beyond the constant coefficients approach.

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.mnb.hu/letoltes/wp-2010-10.pdf
Download Restriction: no

Paper provided by Magyar Nemzeti Bank (Central Bank of Hungary) in its series MNB Working Papers with number 2010/10.

as
in new window

Length: 35 pages
Date of creation: 2010
Date of revision:
Handle: RePEc:mnb:wpaper:2010/10
Contact details of provider: Web page: http://www.mnb.hu/

More information through EDIRC

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. Andros Kourtellos & Thanasis Stengos & Chih Ming Tan, 2009. "Structural Threshold Regression," Working Papers 0907, University of Guelph, Department of Economics and Finance.
  2. Martin D. D. Evans, 2002. "FX Trading and Exchange Rate Dynamics," Journal of Finance, American Finance Association, vol. 57(6), pages 2405-2447, December.
  3. Engel, Charles & Hamilton, James D, 1990. "Long Swings in the Dollar: Are They in the Data and Do Markets Know It?," American Economic Review, American Economic Association, vol. 80(4), pages 689-713, September.
  4. Andros Kourtellos & Thanasis Stengos & Chih Ming Tan, 2009. "Do Institutions Rule? The Role of Heterogeneity in the Institutions vs. Geography Debate," Working Papers 0910, University of Guelph, Department of Economics and Finance.
  5. Bruce E. Hansen, 2000. "Sample Splitting and Threshold Estimation," Econometrica, Econometric Society, vol. 68(3), pages 575-604, May.
  6. Evans, Martin D. D. & Lyons, Richard K., 2002. "Time-varying liquidity in foreign exchange," Journal of Monetary Economics, Elsevier, vol. 49(5), pages 1025-1051, July.
  7. Sarno, Lucio & Wohar, Mark, 2003. "Monetary Fundamentals and Exchange Rate Dynamics Under Different Nominal Regimes," Computing in Economics and Finance 2003 310, Society for Computational Economics.
  8. Hamilton, James D., 1996. "Specification testing in Markov-switching time-series models," Journal of Econometrics, Elsevier, vol. 70(1), pages 127-157, January.
  9. Michael Froemmel & Ronald Macdonald & Lukas Menkhoff, 2004. "Markov Switching Regimes In A Monetary Exchange Rate Model," Royal Economic Society Annual Conference 2004 119, Royal Economic Society.
  10. Hols, Martien C A B & de Vries, Casper G, 1991. "The Limiting Distribution of Extremal Exchange Rate Returns," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 6(3), pages 287-302, July-Sept.
  11. Engel, Charles, 1994. "Can the Markov switching model forecast exchange rates?," Journal of International Economics, Elsevier, vol. 36(1-2), pages 151-165, February.
  12. Martin D. D. Evans and Richard K. Lyons., 1999. "Order Flow and Exchange Rate Dynamics," Research Program in Finance Working Papers RPF-288, University of California at Berkeley.
  13. 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.
  14. 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.
  15. DeGennaro, Ramon P. & Shrieves, Ronald E., 1997. "Public information releases, private information arrival and volatility in the foreign exchange market," Journal of Empirical Finance, Elsevier, vol. 4(4), pages 295-315, December.
  16. Michael Sager & Mark P. Taylor, 2008. "Commercially Available Order Flow Data and Exchange Rate Movements: "Caveat Emptor"," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(4), pages 583-625, 06.
  17. Bessec, Marie, 2003. "Mean-reversion vs. adjustment to PPP: the two regimes of exchange rate dynamics under the EMS, 1979-1998," Economic Modelling, Elsevier, vol. 20(1), pages 141-164, January.
  18. Boothe, Paul & Glassman, Debra, 1987. "The statistical distribution of exchange rates: Empirical evidence and economic implications," Journal of International Economics, Elsevier, vol. 22(3-4), pages 297-319, May.
  19. repec:dau:papers:123456789/12206 is not listed on IDEAS
  20. Lyons, Richard K., 1995. "Tests of microstructural hypotheses in the foreign exchange market," Journal of Financial Economics, Elsevier, vol. 39(2-3), pages 321-351.
  21. Geir Høidal Bjønnes & Dagfinn Rime & Haakon O. Aa. Solheim, 2004. "Liquidity provision in the overnight foreign exchange market," Discussion Papers 391, Statistics Norway, Research Department.
  22. David W. Berger & Alain P. Chaboud & Sergey V. Chernenko & Edward Howorka & Jonathan H. Wright, 2006. "Order flow and exchange rate dynamics in electronic brokerage system data," International Finance Discussion Papers 830, Board of Governors of the Federal Reserve System (U.S.).
  23. 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.
  24. Clarida, Richard H. & Sarno, Lucio & Taylor, Mark P. & Valente, Giorgio, 2003. "The out-of-sample success of term structure models as exchange rate predictors: a step beyond," Journal of International Economics, Elsevier, vol. 60(1), pages 61-83, May.
  25. Hansen, Bruce E, 1992. "The Likelihood Ratio Test under Nonstandard Conditions: Testing the Markov Switching Model of GNP," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(S), pages S61-82, Suppl. De.
  26. BAUWENS, Luc & BEN OMRANE, Walid & GIOT, Pierre, 2003. "News announcements, market activity and volatility in the Euro/Dollar foreign exchange market," CORE Discussion Papers 2003029, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  27. Viet Hoang Nguyen & Yongcheol Shin, 2011. "Asymmetric Price Impacts of Order Flow on Exchange Rate Dynamics," Melbourne Institute Working Paper Series wp2011n14, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
  28. Thanassis Kazanas & Elias Tzavalis, 2011. "Unveiling the monetary policy rule in euro area," Working Papers 130, Bank of Greece.
  29. Torben G. Andersen & Tim Bollerslev, 1998. "Deutsche Mark-Dollar Volatility: Intraday Activity Patterns, Macroeconomic Announcements, and Longer Run Dependencies," Journal of Finance, American Finance Association, vol. 53(1), pages 219-265, 02.
  30. Subrahmanyam, Avanidhar, 1991. "Risk Aversion, Market Liquidity, and Price Efficiency," Review of Financial Studies, Society for Financial Studies, vol. 4(3), pages 416-41.
  31. M. Frömmel & A. Mende & L. Menkhoff, 2007. "Order Flows, News, and Exchange Rate Volatility," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 07/474, Ghent University, Faculty of Economics and Business Administration.
  32. Manzan, S. & Westerhoff, F., 2002. "Representativeness of News and Exchange Rate Dynamics," CeNDEF Working Papers 02-13, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
  33. Caner, Mehmet & Hansen, Bruce E., 2004. "Instrumental Variable Estimation Of A Threshold Model," Econometric Theory, Cambridge University Press, vol. 20(05), pages 813-843, October.
  34. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-35, November.
  35. 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)

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:mnb:wpaper:2010/10. 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: (Lorant Kaszab)

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.