We show that "commodity currency" exchange rates have remarkably robust power in predicting global commodity prices, both in-sample and out-of-sample, and against a variety of alternative benchmarks. This result is of particular interest to policymakers, given the lack of deep forward markets in many individual commodities, and broad aggregate commodity indices in particular. We also explore the reverse relationship (commodity prices forecasting exchange rates) but find it to be notably less robust. We offer a theoretical resolution, based on the fact that exchange rates are strongly forward looking, whereas commodity price fluctuations are typically more sensitive to short-term demand imbalances.
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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number
13901.
Length: Date of creation: Mar 2008 Date of revision: Handle: RePEc:nbr:nberwo:13901
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Find related papers by JEL classification: C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation and Testing C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Other Model Applications F31 - International Economics - - International Finance - - - Foreign Exchange F47 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Forecasting and Simulation
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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.:
Daron Acemoglu & Kenneth Rogoff & Michael Woodford, 2009.
"NBER Macroeconomics Annual 2008,"
NBER Books,
National Bureau of Economic Research, Inc, number acem08-1.
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