[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/56663.html
   My bibliography  Save this paper

The impact of the Euro area macroeconomy on energy and non-energy global commodity prices

Author

Listed:
  • Papież, Monika
  • Śmiech, Sławomir
  • Dąbrowski, Marek A.
Abstract
The aim of the paper is the analysis of the links between the real and financial processes in the euro area and energy and non-energy commodity prices. Monthly data spanning from 1997:1 to 2013:12 and the structural VAR model are used to analyse the relations between global commodity prices and the euro area economy. The analysis is performed for three sub-periods in order to capture potential changes in these relations in time. The main finding of the study reveals that commodity prices in the euro area do not respond to impulses from production (the economic activity), while commodity prices strongly react to impulses from financial processes, that is, the interest rates in the euro area and the dollar exchange rate to the euro (especially in the period before the global financial crisis). The study also indicates tightening the relations between energy and non-energy commodity prices.

Suggested Citation

  • Papież, Monika & Śmiech, Sławomir & Dąbrowski, Marek A., 2014. "The impact of the Euro area macroeconomy on energy and non-energy global commodity prices," MPRA Paper 56663, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:56663
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/56663/1/MPRA_paper_56663.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Blanchard, Olivier Jean & Quah, Danny, 1989. "The Dynamic Effects of Aggregate Demand and Supply Disturbances," American Economic Review, American Economic Association, vol. 79(4), pages 655-673, September.
    2. Alquist, Ron & Kilian, Lutz & Vigfusson, Robert J., 2013. "Forecasting the Price of Oil," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 427-507, Elsevier.
    3. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    4. Renee Fry & Callum Jones & Christopher Kent, 2010. "Inflation in an Era of Relative Pirce Shocks," CAMA Working Papers 2010-38, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    5. Lutz Kilian, 2010. "Oil Price Shocks, Monetary Policy and Stagflation," RBA Annual Conference Volume (Discontinued), in: Renée Fry & Callum Jones & Christopher Kent (ed.),Inflation in an Era of Relative Price Shocks, Reserve Bank of Australia.
    6. Śmiech, Sławomir & Papież, Monika, 2013. "Fossil fuel prices, exchange rate, and stock market: A dynamic causality analysis on the European market," Economics Letters, Elsevier, vol. 118(1), pages 199-202.
    7. Jeffrey A Frankel & Andrew K Rose, 2010. "Determinants of Agricultural and Mineral Commodity Prices," RBA Annual Conference Volume (Discontinued), in: Renée Fry & Callum Jones & Christopher Kent (ed.),Inflation in an Era of Relative Price Shocks, Reserve Bank of Australia.
    8. Pindyck, Robert S & Rotemberg, Julio J, 1990. "The Excess Co-movement of Commodity Prices," Economic Journal, Royal Economic Society, vol. 100(403), pages 1173-1189, December.
    9. Lutz Kilian, 2009. "Not All Oil Price Shocks Are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market," American Economic Review, American Economic Association, vol. 99(3), pages 1053-1069, June.
    10. Jeffrey A. Frankel, 2008. "The Effect of Monetary Policy on Real Commodity Prices," NBER Chapters, in: Asset Prices and Monetary Policy, pages 291-333, National Bureau of Economic Research, Inc.
    11. John Y. Campbell, 2008. "Asset Prices and Monetary Policy," NBER Books, National Bureau of Economic Research, Inc, number camp06-1.
    12. Arora, Vipin & Tanner, Matthew, 2013. "Do oil prices respond to real interest rates?," Energy Economics, Elsevier, vol. 36(C), pages 546-555.
    13. Sari, Ramazan & Hammoudeh, Shawkat & Soytas, Ugur, 2010. "Dynamics of oil price, precious metal prices, and exchange rate," Energy Economics, Elsevier, vol. 32(2), pages 351-362, March.
    14. Lutz Kilian, 2008. "Exogenous Oil Supply Shocks: How Big Are They and How Much Do They Matter for the U.S. Economy?," The Review of Economics and Statistics, MIT Press, vol. 90(2), pages 216-240, May.
    15. Kaufmann, Robert K., 2011. "The role of market fundamentals and speculation in recent price changes for crude oil," Energy Policy, Elsevier, vol. 39(1), pages 105-115, January.
    16. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    17. Lescaroux, François, 2009. "On the excess co-movement of commodity prices--A note about the role of fundamental factors in short-run dynamics," Energy Policy, Elsevier, vol. 37(10), pages 3906-3913, October.
    18. Akram, Q. Farooq, 2009. "Commodity prices, interest rates and the dollar," Energy Economics, Elsevier, vol. 31(6), pages 838-851, November.
    19. Paul Davidson, 2008. "Crude Oil Prices:," Challenge, Taylor & Francis Journals, vol. 51(4), pages 110-118.
    20. John Parsons, 2010. "Black Gold and Fool’s Gold: Speculation in the Oil Futures Market," Economía Journal, The Latin American and Caribbean Economic Association - LACEA, vol. 0(Spring 20), pages 81-116, January.
    21. Demirbas, Ayhan, 2011. "Competitive liquid biofuels from biomass," Applied Energy, Elsevier, vol. 88(1), pages 17-28, January.
    22. Campbell, John Y. (ed.), 2008. "Asset Prices and Monetary Policy," National Bureau of Economic Research Books, University of Chicago Press, number 9780226092119, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Śmiech, Sławomir & Papież, Monika & Dąbrowski, Marek A., 2015. "Does the euro area macroeconomy affect global commodity prices? Evidence from a SVAR approach," International Review of Economics & Finance, Elsevier, vol. 39(C), pages 485-503.
    2. Papież, Monika & Śmiech, Sławomir, 2015. "Dynamic steam coal market integration: Evidence from rolling cointegration analysis," Energy Economics, Elsevier, vol. 51(C), pages 510-520.
    3. Morana, Claudio, 2013. "Oil price dynamics, macro-finance interactions and the role of financial speculation," Journal of Banking & Finance, Elsevier, vol. 37(1), pages 206-226.
    4. Ratti, Ronald A. & Vespignani, Joaquin L., 2013. "Liquidity and crude oil prices: China's influence over 1996–2011," Economic Modelling, Elsevier, vol. 33(C), pages 517-525.
    5. Kilian, Lutz & Zhou, Xiaoqing, 2022. "Oil prices, exchange rates and interest rates," Journal of International Money and Finance, Elsevier, vol. 126(C).
    6. Stuermer, Martin, 2018. "150 Years Of Boom And Bust: What Drives Mineral Commodity Prices?," Macroeconomic Dynamics, Cambridge University Press, vol. 22(3), pages 702-717, April.
    7. repec:cii:cepiei:2012-q3-131-4 is not listed on IDEAS
    8. Marco Lombardi & Chiara Osbat & Bernd Schnatz, 2012. "Global commodity cycles and linkages: a FAVAR approach," Empirical Economics, Springer, vol. 43(2), pages 651-670, October.
    9. Rossen, Anja, 2015. "What are metal prices like? Co-movement, price cycles and long-run trends," Resources Policy, Elsevier, vol. 45(C), pages 255-276.
    10. Bakas, Dimitrios & Triantafyllou, Athanasios, 2018. "The impact of uncertainty shocks on the volatility of commodity prices," Journal of International Money and Finance, Elsevier, vol. 87(C), pages 96-111.
    11. Vasyl Golosnoy & Anja Rossen, 2018. "Modeling dynamics of metal price series via state space approach with two common factors," Empirical Economics, Springer, vol. 54(4), pages 1477-1501, June.
    12. Byrne, Joseph P. & Fazio, Giorgio & Fiess, Norbert, 2013. "Primary commodity prices: Co-movements, common factors and fundamentals," Journal of Development Economics, Elsevier, vol. 101(C), pages 16-26.
    13. Śmiech, Sławomir, 2014. "Co-movement of commodity prices – results from dynamic time warping classification," MPRA Paper 56546, University Library of Munich, Germany.
    14. Alquist, Ron & Bhattarai, Saroj & Coibion, Olivier, 2020. "Commodity-price comovement and global economic activity," Journal of Monetary Economics, Elsevier, vol. 112(C), pages 41-56.
    15. Mensi, Walid & Rehman, Mobeen Ur & Al-Yahyaee, Khamis Hamed, 2020. "Time-frequency co-movements between oil prices and interest rates: Evidence from a wavelet-based approach," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    16. Ratti, Ronald A. & Vespignani, Joaquin L., 2014. "Oil prices and the economy: A global perspective," MPRA Paper 59407, University Library of Munich, Germany.
    17. Chen, Peng, 2015. "Global oil prices, macroeconomic fundamentals and China's commodity sector comovements," Energy Policy, Elsevier, vol. 87(C), pages 284-294.
    18. Barbaglia, Luca & Wilms, Ines & Croux, Christophe, 2016. "Commodity dynamics: A sparse multi-class approach," Energy Economics, Elsevier, vol. 60(C), pages 62-72.
    19. Drachal, Krzysztof, 2016. "Forecasting spot oil price in a dynamic model averaging framework — Have the determinants changed over time?," Energy Economics, Elsevier, vol. 60(C), pages 35-46.
    20. repec:ipg:wpaper:19 is not listed on IDEAS
    21. Yin, Libo & Ma, Xiyuan, 2018. "Causality between oil shocks and exchange rate: A Bayesian, graph-based VAR approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 434-453.
    22. Ratti, Ronald A. & Vespignani, Joaquin L., 2013. "Crude oil prices and liquidity, the BRIC and G3 countries," Energy Economics, Elsevier, vol. 39(C), pages 28-38.

    More about this item

    Keywords

    commodity prices; real economy; financial market; SVAR;
    All these keywords.

    JEL classification:

    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles
    • E4 - Macroeconomics and Monetary Economics - - Money and Interest Rates
    • Q1 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy

    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:pra:mprapa:56663. 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.

    If CitEc recognized a bibliographic 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.

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