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Long Run Trends and Fluctuations In Cotton Prices

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  • MacDonald, Stephen
  • Meyer, Leslie

Abstract

One revelation from the 2008 Global Financial Crisis was the fragility of models and assumptions based on samples too short to include periods of high volatility, and this study attempts to remedy that short-coming for USDA’s development of long run cotton price projections. Real cotton prices have fallen significantly since 1900, but statistical verification of the presence of a long-run downward trend has proven elusive. Cotton price volatility has varied widely over the last 226 years, largely correlated with macroeconomic instability. Cotton’s period of greatest instability—during the U.S. Civil War—was primarily driven by cotton-specific trade and production disruptions, but since the Civil War, cotton volatility has largely coincided with broader commodity price volatility. One of cotton’s most volatility\e episodes since 18th century occurred over 2009-12, and was in part a consequence of nearly unprecedented macroeconomic instability and, in part due to factors specific to cotton markets. Looking ahead, cotton price volatility over 2018-27 is likely to be greater than the volatility experienced during 2016-17, when volatility was unusually low, likely reduced by China’s large sales from its National Reserve.

Suggested Citation

  • MacDonald, Stephen & Meyer, Leslie, 2018. "Long Run Trends and Fluctuations In Cotton Prices," MPRA Paper 84484, University Library of Munich, Germany, revised 10 Feb 2018.
  • Handle: RePEc:pra:mprapa:84484
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    File URL: https://mpra.ub.uni-muenchen.de/84484/1/MPRA_paper_84484.pdf
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    References listed on IDEAS

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    Cited by:

    1. Juvenal, Luciana & Petrella, Ivan, 2019. "Not all Terms of Trade Shocks are Alike," EMF Research Papers 25, Economic Modelling and Forecasting Group.
    2. Xiaoxiao Li & Bo Wang & Lingyan Sun & Honghui Zhu & Ning Lv & Jiaqi Zhang, 2023. "The Transmission Effect Test of China’s Rotation Mechanism on the Cotton Reserve Market," Sustainability, MDPI, vol. 15(5), pages 1-17, February.
    3. Alfeus, Mesias & Nikitopoulos, Christina Sklibosios, 2022. "Forecasting volatility in commodity markets with long-memory models," Journal of Commodity Markets, Elsevier, vol. 28(C).

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    More about this item

    Keywords

    cotton; commodity prices; price volatility; GARCH; China; Bretton Woods; Gold Standard;
    All these keywords.

    JEL classification:

    • D40 - Microeconomics - - Market Structure, Pricing, and Design - - - General
    • D41 - Microeconomics - - Market Structure, Pricing, and Design - - - Perfect Competition
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • N50 - Economic History - - Agriculture, Natural Resources, Environment and Extractive Industries - - - General, International, or Comparative
    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices
    • Q17 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agriculture in International Trade

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