IDEAS home Printed from
   My bibliography  Save this article

Informational roles of commodity prices for monetary policy: evidence from the Euro area


  • Go Tamakoshi

    () (Kobe University)

  • Shigeyuki Hamori

    () (Kobe University)


This paper examines the linear and nonlinear causal relationships between commodity price indices and macroeconomic variables such as the consumer price index (CPI) and the industrial production index (IP) in the Euro zone. We use monthly time series data from January 1999 to December 2011 and employ a solid nonparametric, nonlinear causality test by Diks and Panchenko (2006) as well as the linear Granger causality test using Lag Augmented Vector Autoregression (LA-VAR) approach. Main findings of the study include: (i) Oil price only linearly Granger-causes the CPI and hence can be seen as a better information variable for the general price level than non-energy commodity price. (ii) There is a significant one-way linear causality from commodity price to IP. (iii) A significant nonlinear relationship between CPI and IP is identified by the nonparametric causality test. Such results are relevant for monetary policy makers who wish to mitigate the possible future inflation by using commodity or oil price indices as information variables.

Suggested Citation

  • Go Tamakoshi & Shigeyuki Hamori, 2012. "Informational roles of commodity prices for monetary policy: evidence from the Euro area," Economics Bulletin, AccessEcon, vol. 32(2), pages 1282-1290.
  • Handle: RePEc:ebl:ecbull:eb-12-00292

    Download full text from publisher

    File URL:
    Download Restriction: no

    References listed on IDEAS

    1. repec:ebl:ecbull:v:5:y:2007:i:13:p:1-7 is not listed on IDEAS
    2. Awokuse, Titus O. & Yang, Jian, 2003. "The informational role of commodity prices in formulating monetary policy: a reexamination," Economics Letters, Elsevier, vol. 79(2), pages 219-224, May.
    3. Hasanov, Mübariz & Araç, Aysen & Telatar, Funda, 2010. "Nonlinearity and structural stability in the Phillips curve: Evidence from Turkey," Economic Modelling, Elsevier, vol. 27(5), pages 1103-1115, September.
    4. Bekiros, Stelios D. & Diks, Cees G.H., 2008. "The relationship between crude oil spot and futures prices: Cointegration, linear and nonlinear causality," Energy Economics, Elsevier, vol. 30(5), pages 2673-2685, September.
    5. Toda, Hiro Y. & Yamamoto, Taku, 1995. "Statistical inference in vector autoregressions with possibly integrated processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 225-250.
    6. Fourcans, Andre & Vranceanu, Radu, 2007. "The ECB monetary policy: Choices and challenges," Journal of Policy Modeling, Elsevier, vol. 29(2), pages 181-194.
    7. Kyrtsou, Catherine & Labys, Walter C., 2006. "Evidence for chaotic dependence between US inflation and commodity prices," Journal of Macroeconomics, Elsevier, vol. 28(1), pages 256-266, March.
    8. Shigeyuki Hamori, 2007. "The information role of commodity prices in formulating monetary policy: some evidence from Japan," Economics Bulletin, AccessEcon, vol. 5(13), pages 1-7.
    9. Diks, Cees & Panchenko, Valentyn, 2006. "A new statistic and practical guidelines for nonparametric Granger causality testing," Journal of Economic Dynamics and Control, Elsevier, vol. 30(9-10), pages 1647-1669.
    Full references (including those not matched with items on IDEAS)


    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.

    Cited by:

    1. Andreasson, Pierre & Bekiros, Stelios & Nguyen, Duc Khuong & Uddin, Gazi Salah, 2016. "Impact of speculation and economic uncertainty on commodity markets," International Review of Financial Analysis, Elsevier, vol. 43(C), pages 115-127.

    More about this item


    Monetary policy; Non-parametric nonlinear Granger test; Lag-augmented VAR; Commodity prices; Oil prices;

    JEL classification:

    • E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit
    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles


    Access and download statistics


    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:ebl:ecbull:eb-12-00292. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (John P. Conley). General contact details of provider: .

    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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.