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The Relative Volatility of Commodity Prices: A Reappraisal

Author

Listed:
  • Rabah Arezki
  • Daniel Lederman
  • Hongyan Zhao

Abstract

This article studies the relative volatility of commodity prices by examining a large dataset of monthly prices observed in international trade data taken from the United States between 2002-2011. The evidence presented here suggests that, on average, prices of individual primary commodities are less volatile than individual manufactured goods prices. Furthermore, robustness tests suggest that these results are not likely to be due to alternative product classification choices, differences in product exit rates, measurement errors in the trade data, or the aggregation level of the trade data at the 10-digit level of the Harmonized System of products classification.

Suggested Citation

  • Rabah Arezki & Daniel Lederman & Hongyan Zhao, 2014. "The Relative Volatility of Commodity Prices: A Reappraisal," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(3), pages 939-951.
  • Handle: RePEc:oup:ajagec:v:96:y:2014:i:3:p:939-951.
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    Cited by:

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    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. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. Hattendorff, Christian, 2014. "Natural resources, export concentration and financial development," Discussion Papers 2014/34, Free University Berlin, School of Business & Economics.
    10. 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.
    11. 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.
    12. 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.
    13. 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.

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    More about this item

    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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