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Microstructure order flow: statistical and economic evaluation of nonlinear forecasts

Listed author(s):
  • 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.

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File URL: http://www.gla.ac.uk/media/media_182842_en.pdf
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Paper provided by Business School - Economics, University of Glasgow in its series Working Papers with number 2010_30.

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Date of creation: Dec 2010
Handle: RePEc:gla:glaewp:2010_30
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Web page: http://www.gla.ac.uk/schools/business/research/

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  2. Killeen, William P. & Lyons, Richard K. & Moore, Michael J., 2006. "Fixed versus flexible: Lessons from EMS order flow," Journal of International Money and Finance, Elsevier, vol. 25(4), pages 551-579, June.
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  18. 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.
  19. 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.
  20. Eric van Wincoop & Philippe Bacchetta, 2003. "Can Information Heterogeneity Explain the Exchange Rate Determination Puzzle?," NBER Working Papers 9498, National Bureau of Economic Research, Inc.
  21. 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.
  22. 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.
  23. Andersen, Torben G. & Bollerslev, Tim & Diebold, Francis X. & Vega, Clara, 2002. "Micro Effects of Macro Announcements: Real-Time Price Discovery in Foreign Exchange," Working Papers 02-16, Duke University, Department of Economics.
  24. 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.
  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. 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.
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  29. 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.
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