IDEAS home Printed from https://ideas.repec.org/a/tcb/cebare/v16y2016i4p137-142.html
   My bibliography  Save this article

Revisiting super-cycles in commodity prices

Author

Listed:
  • Fatma Pinar Erdem
  • Ibrahim Unalmis

Abstract

It is argued that business cycles have been moderating. However, there are a limited number of studies in the literature analyzing the cyclical behaviour of commodity prices in the last decades. This paper attempts to fill this gap by investigating the super-cycles in oil prices. In addition, interdependence between cycles in GDP and oil prices and co-movements between cycles in oil and other commodity prices are investigated. Results show that super-cycles in oil prices still exist and are not moderating. The last peak in long-term oil price was observed in 2012 and since then it has been on a downward trend.

Suggested Citation

  • Fatma Pinar Erdem & Ibrahim Unalmis, 2016. "Revisiting super-cycles in commodity prices," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 16(4), pages 137-142.
    • Handle: RePEc:tcb:cebare:v:16:y:2016:i:4:p:137-142
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/journal/13030701/16/4
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Malanichev, A., 2018. "Modelling of Economic Oscillations of Shale Oil Production on the Basis of Analytical Solutions of a Differentiation Equation with a Retarded Argument," Journal of the New Economic Association, New Economic Association, vol. 38(2), pages 54-74.
    2. Nan, Yu & Sun, Renjin & Zhen, Zhao & Fangjing, Chu, 2022. "Measurement of international crude oil price cyclical fluctuations and correlation with the world economic cyclical changes," Energy, Elsevier, vol. 260(C).
    3. Vásquez Cordano, Arturo L. & Zellou, Abdel M., 2020. "Super cycles in natural gas prices and their impact on Latin American energy and environmental policies," Resources Policy, Elsevier, vol. 65(C).
    4. Yves Jégourel, 2018. "Tendances et cyclicité du prix des matières premières (partie 2) : le super-cycle des matières premières en question," Policy notes & Policy briefs 1824, Policy Center for the New South.
    5. Oglend, Atle, 2022. "The commodities/equities beta term-structure," Journal of Commodity Markets, Elsevier, vol. 28(C).
    6. Cifuentes, Sebastián & Cortazar, Gonzalo & Ortega, Hector & Schwartz, Eduardo S., 2020. "Expected prices, futures prices and time-varying risk premiums: The case of copper," Resources Policy, Elsevier, vol. 69(C).
    7. Stenvall, David & Hedström, Axel & Yoshino, Naoyuki & Uddin, Gazi Salah & Taghizadeh-Hesary, Farhad, 2022. "Nonlinear tail dependence between the housing and energy markets," Energy Economics, Elsevier, vol. 106(C).
    8. Juan Ignacio Guzmán & Enrique Silva, 2018. "Copper price determination: fundamentals versus non-fundamentals," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 31(3), pages 283-300, October.
    9. Agnello, Luca & Castro, Vítor & Hammoudeh, Shawkat & Sousa, Ricardo M., 2020. "Global factors, uncertainty, weather conditions and energy prices: On the drivers of the duration of commodity price cycle phases," Energy Economics, Elsevier, vol. 90(C).
    10. Hammoudeh, Shawkat & Uddin, Gazi Salah & Sousa, Ricardo M. & Wadström, Christoffer & Sharmi, Rubaiya Zaman, 2022. "Do pandemic, trade policy and world uncertainties affect oil price returns?," Resources Policy, Elsevier, vol. 77(C).
    11. Kakade, Kshitij Abhay & Mishra, Aswini Kumar, 2021. "The impact of macroeconomic and oil shocks on India’s non-ferrous metal prices: A structural-VAR approach," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 63, pages 30-50.

    More about this item

    Keywords

    Super-cycles; Commodity prices; Band-pass filters;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • Q02 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Commodity Market

    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:tcb:cebare:v:16:y:2016:i:4:p:137-142. 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: the person in charge or the person in charge or the person in charge or the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/tcmgvtr.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.