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Order Flow and Exchange Rate Dynamics

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Abstract

Macroeconomic models of nominal exchange rates perform poorly. In sample, R2 statistics as high as 10 percent are rare. Out of sample, these models are typically out-forecast by a naïve random walk. This paper presents a model of a new kind. Instead of relying exclusively on macroeconomic determinants, the model includes a determinant from the field of microstructure--order flow. Order flow is the proximate determinant of price in all microstructure models. This is a radically different approach to exchange rate determination. It is also strikingly successful in accounting for realized rates. Our model of daily exchange-rate changes produces R2 statistics above 50 percent. Out of sample, our model produces significantly better short-horizon forecasts than a random walk. For the DM/$ spot market as a whole, we find that $1 billion of net dollar purchases increases the DM price of a dollar by about 0.5 percent.

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  • Martin Evans and David Lyons, 2001. "Order Flow and Exchange Rate Dynamics," Working Papers gueconwpa~01-01-12, Georgetown University, Department of Economics.
  • Handle: RePEc:geo:guwopa:gueconwpa~01-01-12
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    1. Shang-Jin Wei & Jungshik Kim, 1997. "The Big Players in the Foreign Exchange Market: Do They Trade on Information or Noise?," NBER Working Papers 6256, National Bureau of Economic Research, Inc.
    2. Vitale, Paolo, 1998. "Two months in the life of several gilt-edged market makers on the London Stock Exchange," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 8(3-4), pages 299-324, December.
    3. Vogler, Karl-Hubert, 1997. "Risk allocation and inter-dealer trading," European Economic Review, Elsevier, vol. 41(8), pages 1615-1634, August.
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