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Jumps and volatility dynamics in agricultural commodity spot prices

Author

Listed:
  • Raphael Homayoun Boroumand
  • Stéphane Goutte

    (LPMA - Laboratoire de Probabilités et Modèles Aléatoires - UPMC - Université Pierre et Marie Curie - Paris 6 - UPD7 - Université Paris Diderot - Paris 7 - CNRS - Centre National de la Recherche Scientifique)

  • Simon Porcher

    (LAB IAE Paris - Sorbonne - IAE Paris - Sorbonne Business School)

  • Thomas Porcher

    (CERC - CERC - Centre d'Études et de Recherches Comparatistes - EA 172 - Université Sorbonne Nouvelle - Paris 3)

Abstract

The spot commodities market exhibits both extreme volatility and price spikes, which lead to heavy-tailed distributions of price change and autocorrelation. This article uses various Lévy jump models to capture these features in a panel of agricultural commodities observed between January 1990 and February 2014. The results show that Levy jump models outperform the continuous Gaussian model. Our results prove that assuming a constant volatility or even a deterministic volatility and drift structure of agricultural commodity spot prices is not realistic and is less efficient than the stochastic assumption. The findings demonstrate an interesting correlation between volatility and jumps for a given commodity i, but no relationship between the volatility of commodity i and the probability of jumps of commodity j.

Suggested Citation

  • Raphael Homayoun Boroumand & Stéphane Goutte & Simon Porcher & Thomas Porcher, 2017. "Jumps and volatility dynamics in agricultural commodity spot prices," Post-Print halshs-01656434, HAL.
    • Handle: RePEc:hal:journl:halshs-01656434
    DOI: 10.1080/00036846.2016.1273507
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