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Kondratiev long cycles in metal commodity prices

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  • Marañon, Matias
  • Kumral, Mustafa

Abstract

The hypothesis of cycles in metal and mineral commodity prices has been firmly documented. Studies in the last years, in the context of the unfolding of the supercycle, have been fruitful in the identification of long cycles. However, a less addressed aspect is their eventual connection with the long economic cycle theory or Kondratiev waves. This article presents the outcomes of an empirical inspection of Kondratiev waves in the real prices of the base metals, iron ore and gold for the period 1900–2017. The results indicate an important level of synchronization between metals prices and the Kondratiev waves. Thus, metal and mineral prices would be affected by the dynamics of long economic cycles (45–60 years). It is suggested to corroborate the empirical findings using the band-pass filters and a decomposition that takes into account these long cycles.

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  • Marañon, Matias & Kumral, Mustafa, 2019. "Kondratiev long cycles in metal commodity prices," Resources Policy, Elsevier, vol. 61(C), pages 21-28.
  • Handle: RePEc:eee:jrpoli:v:61:y:2019:i:c:p:21-28
    DOI: 10.1016/j.resourpol.2019.01.008
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    1. Nelson, Charles R & Kang, Heejoon, 1981. "Spurious Periodicity in Inappropriately Detrended Time Series," Econometrica, Econometric Society, vol. 49(3), pages 741-751, May.
    2. Rosenberg, Nathan & Frischtak, Claudio R, 1983. "Long Waves and Economic Growth: A Critical Appraisal," American Economic Review, American Economic Association, vol. 73(2), pages 146-151, May.
    3. 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.
    4. Erten, Bilge & Ocampo, José Antonio, 2013. "Super Cycles of Commodity Prices Since the Mid-Nineteenth Century," World Development, Elsevier, vol. 44(C), pages 14-30.
    5. Svedberg, Peter & Tilton, John E., 2006. "The real, real price of nonrenewable resources: copper 1870-2000," World Development, Elsevier, vol. 34(3), pages 501-519, March.
    6. Fernandez, Viviana, 2015. "Influence in commodity markets: Measuring co‐movement globally," Resources Policy, Elsevier, vol. 45(C), pages 151-164.
    7. Solomou, Solomos, 1986. "Innovation Clusters and Kondratieff Long Waves in Economic Growth," Cambridge Journal of Economics, Oxford University Press, vol. 10(2), pages 101-112, June.
    8. Radetzki, Marian, 2006. "The anatomy of three commodity booms," Resources Policy, Elsevier, vol. 31(1), pages 56-64, March.
    9. Marañon, Matias & Kumral, Mustafa, 2018. "Exploring the Elliott Wave Principle to interpret metal commodity price cycles," Resources Policy, Elsevier, vol. 59(C), pages 125-138.
    10. John T Cuddington & Daniel Jerrett, 2008. "Super Cycles in Real Metals Prices?," IMF Staff Papers, Palgrave Macmillan, vol. 55(4), pages 541-565, December.
    11. François Lescaroux & Valérie Mignon, 2008. "On the Influence of Oil Prices on Economic Activity and Other Macroeconomic and Financial Variables," Working Papers 2008-05, CEPII research center.
    12. Alfred Kleinknecht, 1987. "Innovation Patterns in Crisis and Prosperity," Palgrave Macmillan Books, Palgrave Macmillan, number 978-1-349-18559-7, December.
    13. François Lescaroux & Valérie Mignon, 2008. "On the influence of oil prices on economic activity and other macroeconomic and financial variables ," OPEC Energy Review, Organization of the Petroleum Exporting Countries, vol. 32(4), pages 343-380, December.
    14. Fernandez, Viviana, 2012. "Trends in real commodity prices: How real is real?," Resources Policy, Elsevier, vol. 37(1), pages 30-47.
    15. Sir H. W. Singer, 1998. "Beyond Terms of Trade: Convergence/Divergence and Creative/Uncreative Destruction," Zagreb International Review of Economics and Business, Faculty of Economics and Business, University of Zagreb, vol. 1(1), pages 13-25, May.
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