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

Microstructure order flow: statistical and economic evaluation of nonlinear forecasts

  • Mario Cerrato
  • Hyunsok Kim
  • Ronald MacDonald

In this paper we propose a novel empirical extension of the standard market microstructure order flow model. The main idea is that heterogeneity of beliefs in the foreign exchange market can cause model instability and such instability has not been fully accounted for in the existing empirical literature. We investigate this issue using two different data sets and focusing on out- of-sample forecasts. Forecasting power is measured using standard statistical tests and, additionally, using an alternative approach based on measuring the economic value of forecasts after building a portfolio of assets. We nd there is a substantial economic value on conditioning on the proposed models.

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.gla.ac.uk/media/media_182842_en.pdf
Download Restriction: no

Paper provided by Business School - Economics, University of Glasgow in its series Working Papers with number 2010_30.

as
in new window

Length:
Date of creation: Dec 2010
Date of revision:
Handle: RePEc:gla:glaewp:2010_30
Contact details of provider: Postal:
Adam Smith Building, Glasgow G12 8RT

Phone: 0141 330 4618
Fax: 0141 330 4940
Web page: http://www.gla.ac.uk/schools/business/research/

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. Love, Ryan & Payne, Richard, 2008. "Macroeconomic News, Order Flows, and Exchange Rates," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 43(02), pages 467-488, June.
  2. Lyons, Richard K., 1996. "Optimal Transparency in a Dealer Market with an Application to Foreign Exchange," Journal of Financial Intermediation, Elsevier, vol. 5(3), pages 225-254, July.
  3. Mario Cerrato & Hyunsok Kim & Ronald Macdonald, 2010. "Three-Regime Asymmetric STAR Modeling and Exchange Rate Reversion," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(7), pages 1447-1467, October.
  4. Pasquale Della Corte & Lucio Sarno & Ilias Tsiakas, 2009. "An Economic Evaluation of Empirical Exchange Rate Models," Review of Financial Studies, Society for Financial Studies, vol. 22(9), pages 3491-3530, September.
  5. Engel, Charles & West, Kenneth D., 2003. "Exchange rates and fundamentals," Working Paper Series 0248, European Central Bank.
  6. 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.
  7. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-35, November.
  8. David I. Harvey & Stephen J. Leybourne, 2007. "Testing for time series linearity," Econometrics Journal, Royal Economic Society, vol. 10(1), pages 149-165, 03.
  9. Evans, Martin D.D. & Lyons, Richard K., 2005. "Do currency markets absorb news quickly?," Journal of International Money and Finance, Elsevier, vol. 24(2), pages 197-217, March.
  10. Kenneth D. West & Hali J. Edison & Dongchul Cho, 1992. "A Utility Based Comparison of Some Models of Exchange Rate Volatility," NBER Technical Working Papers 0128, National Bureau of Economic Research, Inc.
  11. Torben G. Andersen & Tim Bollerslev & Francis X. Diebold & Clara Vega, 2002. "Micro Effects of Macro Announcements: Real-Time Price Discovery in Foreign Exchange?," Center for Financial Institutions Working Papers 02-23, Wharton School Center for Financial Institutions, University of Pennsylvania.
  12. 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.
  13. William P. Killeen & Richard K. Lyons & Michael J. Moore, 2001. "Fixed versus Flexible: Lessons from EMS Order Flow," NBER Working Papers 8491, National Bureau of Economic Research, Inc.
  14. Martin D. D. Evans & Richard K. Lyons, 2005. "Meese-Rogoff Redux: Micro-Based Exchange-Rate Forecasting," American Economic Review, American Economic Association, vol. 95(2), pages 405-414, May.
  15. Jing Yang & Nikola Gradojevic, 2006. "Non-linear, non-parametric, non-fundamental exchange rate forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 25(4), pages 227-245.
  16. Wessel Marquering & Marno Verbeek, 2000. "The Economic Value of Predicting Stock Index Returns and Volatility," Working Papers Department of Economics ces0020, KU Leuven, Faculty of Economics and Business, Department of Economics.
  17. Andrade, Sandro C. & Chang, Charles & Seasholes, Mark S., 2008. "Trading imbalances, predictable reversals, and cross-stock price pressure," Journal of Financial Economics, Elsevier, vol. 88(2), pages 406-423, May.
  18. 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.
  19. Markus K. Brunnermeier & Stefan Nagel & Lasse H. Pedersen, 2008. "Carry Trades and Currency Crashes," NBER Working Papers 14473, National Bureau of Economic Research, Inc.
  20. Dagfinn Rime & Lucio Sarno & Elvira Sojli, 2007. "Exchange rate forecasting, order flow and macroeconomic information," Working Paper 2007/02, Norges Bank.
  21. Bacchetta, Philippe & van Wincoop, Eric, 2003. "Can Information Heterogeneity Explain the Exchange Rate Determination Puzzle?," CEPR Discussion Papers 3808, C.E.P.R. Discussion Papers.
  22. Francis X. Diebold & Robert S. Mariano, 1994. "Comparing Predictive Accuracy," NBER Technical Working Papers 0169, National Bureau of Economic Research, Inc.
  23. Yufeng Han, 2006. "Asset Allocation with a High Dimensional Latent Factor Stochastic Volatility Model," Review of Financial Studies, Society for Financial Studies, vol. 19(1), pages 237-271.
  24. 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.
  25. 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.
  26. Martin Evans and Richard K. Lyons, 2002. "Informational Integration and FX Trading," Working Papers gueconwpa~02-02-11, Georgetown University, Department of Economics.
  27. Jeff Fleming, 2001. "The Economic Value of Volatility Timing," Journal of Finance, American Finance Association, vol. 56(1), pages 329-352, 02.
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:gla:glaewp:2010_30. 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: (Jeanette Findlay)

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.