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An Assessment of the Theory of Storage: Has the Relationship between Commodity Price Volatility and Market Fundamentals Changed Over Time?

Author

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  • Giulio Cifarelli

    (DIpartimento Scienze Economiche, Università di Firenze)

  • Paolo Paesani

    (University of Rome “Tor Vergata”)

Abstract

In this paper we investigate the relationship between commodity price volatility and market fundamentals comparing the 1920s with the present decade and focusing on cotton and tin. The theory of storage provides the theoretical reference for the analysis. Our first result is to find that the series have widely different properties which reflect the speedier diffusion of information in the markets today. This emerges both in the order of autocorrelation of the VECMs used to analyze the dynamics of the spot and futures returns and in the structure of the GARCH parameterization. Our second finding is to show that, based on full sample correlations, the theory of storage seems to capture the dynamics of data with the exception of historical tin. Rolling correlations, however, qualify this result and show that dynamic correlation for historical tin largely corroborate the theory of reference while recent inroads of financial agents in commodity markets seem to have affected the cotton market, giving prominence to financial risk factors.

Suggested Citation

  • Giulio Cifarelli & Paolo Paesani, 2012. "An Assessment of the Theory of Storage: Has the Relationship between Commodity Price Volatility and Market Fundamentals Changed Over Time?," Working Papers - Economics wp2012_12.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    • Handle: RePEc:frz:wpaper:wp2012_12.rdf
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    References listed on IDEAS

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    1. Hirshleifer, David, 1989. "Determinants of Hedging and Risk Premia in Commodity Futures Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 24(3), pages 313-331, September.
    2. Williams,Jeffrey C. & Wright,Brian D., 2005. "Storage and Commodity Markets," Cambridge Books, Cambridge University Press, number 9780521023399, October.
    3. Pagan, Adrian R. & Schwert, G. William, 1990. "Alternative models for conditional stock volatility," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 267-290.
    4. Nikolaos T. Milonas & Stavros B. Thomadakis, 1997. "Convenience yields as call options: An empirical analysis," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 17(1), pages 1-15, February.
    5. Nikolaos Milonas & Thomas Henker, 2001. "Price spread and convenience yield behaviour in the international oil market," Applied Financial Economics, Taylor & Francis Journals, vol. 11(1), pages 23-36.
    6. Gibson, Rajna & Schwartz, Eduardo S, 1990. "Stochastic Convenience Yield and the Pricing of Oil Contingent Claims," Journal of Finance, American Finance Association, vol. 45(3), pages 959-976, July.
    7. Unknown, 2005. "Forward," 2005 Conference: Slovenia in the EU - Challenges for Agriculture, Food Science and Rural Affairs, November 10-11, 2005, Moravske Toplice, Slovenia 183804, Slovenian Association of Agricultural Economists (DAES).
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    Cited by:

    1. Guglielmo Maria Caporale & Davide Ciferri & Alessandro Girardi, 2014. "Time-Varying Spot and Futures Oil Price Dynamics," Scottish Journal of Political Economy, Scottish Economic Society, vol. 61(1), pages 78-97, February.

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    More about this item

    Keywords

    Commodities; multivariate GARCH; theory of storage;
    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
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • Q14 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Finance

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