IDEAS home Printed from https://ideas.repec.org/p/fau/wpaper/wp2020_08.html

ECB Monetary Policy and Commodity Prices

Author

Listed:
  • Shahriyar Aliyev

    (Institute of Economic Studies, Charles University, Opletalova 26, 110 00 Prague, Czech Republic.)

  • Evzen Kocenda

    (Institute of Economic Studies, Charles University, Opletalova 26, 110 00 Prague, Czech Republic; Institute of Information Theory and Automation of the CAS, Prague; CESifo, Munich; IOS Regensburg; and the Euro Area Business Cycle Network.)

Abstract

We analyze the impact of the ECB monetary policies on global aggregate and sectoral commodity prices using monthly data from January 2001 till August 2019. We employ a SVAR model and assess separately period of conventional monetary policy before global financial crisis (GFC) and unconventional monetary policy during post-crisis period. Our key results indicate that contractionary monetary policy shocks have positive effects on the aggregate and sectoral commodity prices during both conventional and unconvetional monetary policy periods. The effect is statistically significant for aggregate commodity prices during post-crisis period. In terms of sectoral impact, the effect is statistically significant for food prices in both periods and for fuel prices during post-crisis period; other commodities display positive but statistically insignificant responses. Further, we demonstrate that the impact of the ECB monetary policy on commodity prices increased remarkably after the GFC. Our results also suggest that the effect of the ECB monetary policy on commodity prices does not transmit directly through market demand and supply expectations channel, but rather through the exchange rate channel that influences the European market demand directly.

Suggested Citation

  • Shahriyar Aliyev & Evzen Kocenda, 2020. "ECB Monetary Policy and Commodity Prices," Working Papers IES 2020/8, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Apr 2020.
    • Handle: RePEc:fau:wpaper:wp2020_08
    as

    Download full text from publisher

    File URL: https://ies.fsv.cuni.cz/en/veda-vyzkum/working-papers/6230
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

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


    Cited by:

    1. is not listed on IDEAS
    2. Chen, Peng & Miao, Xinru, 2024. "Understanding the role of China's factors in international commodity price fluctuations: A perspective of monetary-fiscal policy interaction," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 1464-1483.
    3. Cho, Dooyeon & Jung, Jaehun, 2025. "Machine learning goes beyond: Time-varying monetary policy and oil price pass-through to inflation expectations," Journal of Macroeconomics, Elsevier, vol. 85(C).
    4. Marek Vochozka & Svatopluk Janek & Zuzana Rowland, 2023. "Coffee as an Identifier of Inflation in Selected US Agglomerations," Forecasting, MDPI, vol. 5(1), pages 1-17, January.
    5. Kočenda, Evžen & Moravcová, Michala, 2024. "Frequency volatility connectedness and portfolio hedging of U.S. energy commodities," Research in International Business and Finance, Elsevier, vol. 69(C).
    6. Domonkos, Tomas & Fisera, Boris & Siranova, Maria, 2023. "Income inequality as long-term conditioning factor of monetary transmission to bank rates," Economic Modelling, Elsevier, vol. 128(C).
    7. Giannellis, Nikolaos & Tzanaki, Maria-Anna, 2025. "Macroeconomic responses to financial stress shocks: Evidence from the US and the Eurozone," International Economics, Elsevier, vol. 181(C).
    8. Sophio Togonidze & Evzen Kocenda, 2022. "Macroeconomic Implications of Oil-Price Shocks to Emerging Economies: A Markov Regime-Switching Approach," Working Papers IES 2022/21, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Sep 2022.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • Q02 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Commodity Market

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:fau:wpaper:wp2020_08. 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: Natalie Svarcova (email available below). General contact details of provider: https://edirc.repec.org/data/icunicz.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.