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Order Flow and Exchange Rate Dynamics

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Author Info
Martin Evans (Georgetown University and NBER)
Richard Lyons (Haas School of Business, University of California, Berkeley)

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Abstract

Macroeconomic models of nominal exchange rates perform poorly. In sample, R 2 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 R 2 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 1 pfennig.

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File URL: http://repositories.cdlib.org/cgi/viewcontent.cgi?article=1007&context=iber/finance
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Paper provided by Research Program in Finance, Institute for Business and Economic Research, UC Berkeley in its series Research Program in Finance, Working Paper Series with number 1007.

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Date of creation: 01 Aug 1999
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Handle: RePEc:cdl:rpfina:1007

Note: oai:cdlib1:iber/finance-1007
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Keywords: Order Flow Exchange Rate Microstructure Fundamentals and Forecasting

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References listed on IDEAS
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