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Why Is It So Difficult to Beat the Random Walk Forecast of Exchange Rates?

  • Lutz Kilian

    (University of Michigan and the Centre for Economic Policy Research)

  • Mark P. Taylor

    (University of Warwick and the Centre for Economic Policy Research)

We propose a stylized exchange rate model based on diversity and weight of opinion. Our model departs from standard assumptions in that we allow for heterogeneous agents. We show that such a model can explain both the observed volatility and the persistence of real and nominal exchange rate movements and thus in some measure resolves Rogoff’s (1996) purchasing power parity puzzle. Our empirical analysis reconciles the well-known difficulties in beating the random walk forecast model with the statistical evidence of nonlinear mean reversion in deviations from fundamentals. We find strong evidence of long-horizon predictability both in theory and in practice. We also explain why it is difficult to exploit this predictability in out-ofsample forecasts. Our results not only lend support to economists’ beliefs that the exchange rate is inherently predictable, but they also help us to understand the reluctance of applied forecasters to abandon chartists methods in favor of models based on economic fundamentals.

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File URL: http://www.fordschool.umich.edu/rsie/workingpapers/Papers451-475/r464.pdf
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Paper provided by Research Seminar in International Economics, University of Michigan in its series Working Papers with number 464.

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Length: 43 Pages
Date of creation: 2001
Date of revision:
Handle: RePEc:mie:wpaper:464
Contact details of provider: Postal: ANN ARBOR MICHIGAN 48109
Web page: http://fordschool.umich.edu/rsie/
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  14. Peel, David & Sarno, Lucio & Taylor, Mark P, 2001. "Nonlinear Mean-Reversion in Real Exchange Rates: Towards a Solution to the Purchasing Power Parity Puzzles," CEPR Discussion Papers 2658, C.E.P.R. Discussion Papers.
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