IDEAS home Printed from https://ideas.repec.org/p/asx/nugsbw/2023-04.html

Can Exchange Rates Really Forecast Commodity Prices?

Author

Listed:
  • Lasse Bork

    (Aalborg University)

  • Pablo Rovira Kaltwasser

    (University of Leuven)

  • Piet Sercu

    (University of Leuven)

  • Tom Vinaimont

    (Nazarbayev University, Graduate School of Business)

Abstract

Chen, Rogoff and Rossi (2010) report that, for 'commodity currencies', the exchange rate can predict the country's commodity index but not vice versa, consistent with the Engel-West model where the country's key export prices act as the fundamentals. However, their conclusion is not robust to the test statistic. Out-of-sample, at the 10 percent level, they find ample evidence of predictability 'against a variety of benchmarks' (the random walk, the random walk with drift, and an AR(1) process). As commodity prices in their sample are AR(1), only the latter benchmark is valid, and against that one we find nearly no evidence of predictability. Our findings remain when we use a larger sample suggesting that both commodity and currency prices react immediately to current events and anticipate the future to the extent possible. If both are equally forward-looking, neither should be predictable.

Suggested Citation

  • Lasse Bork & Pablo Rovira Kaltwasser & Piet Sercu & Tom Vinaimont, 2023. "Can Exchange Rates Really Forecast Commodity Prices?," Working Papers 2023/04, Nazarbayev University, Graduate School of Business.
  • Handle: RePEc:asx:nugsbw:2023-04
    as

    Download full text from publisher

    File URL: https://drive.google.com/file/d/1tBFqTPTxGUjQFdHtPzVbwAKBj--sZVQG/view
    File Function: First version, 2022
    Download Restriction: no
    ---><---

    More about this item

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • F47 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Forecasting and Simulation: Models and Applications

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:asx:nugsbw:2023-04. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Aigerim Yergabulova (email available below). General contact details of provider: https://edirc.repec.org/data/gsbnukz.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.