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The relative volatility of commodity prices: a reappraisal

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  • Rabah Arezki
  • Daniel Lederman
  • Hongyan Zhao

Abstract

This paper studies the volatility of commodity prices on the basis of a large dataset of monthly prices observed in international trade data from the United States over the period 2002 to 2011. The conventional wisdom in academia and policy circles is that primary commodity prices are more volatile than those of manufactured products, although most of the existing evidence does not actually attempt to measure the volatility of prices of individual goods or commodities. The literature tends to focus on trends in the evolution and volatility of ratios of price indexes composed of multiple commodities and products. This approach can be misleading. Indeed, the evidence presented in this paper suggests that on average prices of individual primary commodities are less volatile than those of individual manufactured goods. However, the challenges of managing terms of trade volatility in developing countries with concentrated export baskets remain.

Suggested Citation

  • Rabah Arezki & Daniel Lederman & Hongyan Zhao, 2011. "The relative volatility of commodity prices: a reappraisal," NCID Working Papers 05/2011, Navarra Center for International Development, University of Navarra.
  • Handle: RePEc:nva:unnvaa:wp05-2011
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    References listed on IDEAS

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    Cited by:

    1. Boubakri, Salem & Guillaumin, Cyriac & Silanine, Alexandre, 2019. "Non-linear relationship between real commodity price volatility and real effective exchange rate: The case of commodity-exporting countries," Journal of Macroeconomics, Elsevier, vol. 60(C), pages 212-228.
    2. Jamal Bouoiyour & Refk Selmi, 2014. "Commodity price uncertainty and manufactured exports in Morocco and Tunisia: Some insights from a novel GARCH model," Economics Bulletin, AccessEcon, vol. 34(1), pages 220-233.
    3. Daniel Lederman & Samuel Pienknagura & Diego Rojas, 2021. "Latent Trade Diversification and Its Relevance for Macroeconomic Stability," The World Bank Economic Review, World Bank, vol. 35(1), pages 58-91.
    4. Jamal Bouoiyour & Refk Selmi, 2015. "Exchange volatility and export performance in Egypt: New insights from wavelet decomposition and optimal GARCH model," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 24(2), pages 201-227, March.
    5. Bouoiyour, Jamal & Selmi, Refk, 2014. "How Robust is the Connection between Exchange Rate Uncertainty and Tunisia’s Exports?," MPRA Paper 57505, University Library of Munich, Germany.
    6. Jamal Bouoiyour & Refk Selmi, 2015. "Exchange volatility and trade performance in Morocco and Tunisia: what have we learned so far?," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 8(3), pages 244-274, November.
    7. Hattendorff, Christian, 2014. "Natural resources, export concentration and financial development," Discussion Papers 2014/34, Free University Berlin, School of Business & Economics.
    8. Bouoiyour, Jamal & Selmi, Refk, 2013. "Exchange rate uncertainty and export performance: what meta-analysis reveals?," MPRA Paper 49249, University Library of Munich, Germany, revised Aug 2013.
    9. Nicolas Merener, 2016. "Concentrated Production and Conditional Heavy Tails in Commodity Returns," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 36(1), pages 46-65, January.
    10. Ching-Chun Wei, 2016. "Empirical Analysis of ¡°Volatility Surprise¡± between Dollar Exchange Rate and CRB Commodity Future Markets," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 8(9), pages 117-126, September.
    11. Hui Hu & Weijun Ran & Yuchen Wei & Xiang Li, 2020. "Do Energy Resource Curse and Heterogeneous Curse Exist in Provinces? Evidence from China," Energies, MDPI, vol. 13(17), pages 1-26, August.
    12. Bouoiyour, Jamal & Selmi, Refk, 2014. "Exchange Uncertainty and Export Performance in Egypt: New Insights from Wavelet Decomposition and Optimal GARCH Model," MPRA Paper 59568, University Library of Munich, Germany, revised 2014.
    13. Shuqin Yan & Kolawole Ogundari & Hiroshi Isoda & Shoichi Ito, 2016. "Study on the Relationship between International and Domestic Grain Prices in Developing Countries—An Application of Markov-Switching Autoregressive Model—," American Journal of Economics and Business Administration, Science Publications, vol. 8(2), pages 44-52, July.

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    More about this item

    Keywords

    Interantional commodity prices; volatility; manufactured product prices;
    All these keywords.

    JEL classification:

    • F14 - International Economics - - Trade - - - Empirical Studies of Trade
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation

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