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Risk Management for Grain Processors and “Copulas”

Author

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  • Songjiao Chen
  • William Wilson
  • Ryan Larsen
  • Bruce Dahl

Abstract

type="main" xml:lang="fr"> L'importance de réajuster les stratégies de couverture des transformateurs s'est accrue principalement en raison de la forte hausse de la volatilité des cours à terme, des prix des produits et des sous-produits. La présente étude vise à analyser, à l'aide des copules, les stratégies de gestion du risque de prix des transformateurs de farine de blé. Bien que cette application touche l'industrie de la fabrication de la farine, elle présente des similarités avec d'autres industries de transformation qui utilisent un ingrédient ou plus, un intrant ou plus et qui concluent des contrats à terme pour un des produits de base ou autres. Nous avons élaboré des modèles de maximisation de l'utilité qui englobent le rendement prévu et le risque. Nous avons aussi évalué des scénarios de rechange. Nous avons utilisé les modèles pour dériver les ratios de couverture optimaux et pour déterminer diverses mesures du risque et du rendement en fonction des scénarios de rechange et de la durée de la couverture. Les résultats de notre étude indiquent que les ratios de couverture sont, en règle générale, inférieurs à 1. Les ratios de couverture du modèle moyenne-VaR-copule augmentent lorsque les périodes sont longues. La variance du modèle moyenne-VaR-copule était, dans la plupart des cas, inférieure aux spécifications du modèle sans copule. Ainsi, les modèles sans copule peuvent surévaluer le risque représenté par la VaR.

Suggested Citation

  • Songjiao Chen & William Wilson & Ryan Larsen & Bruce Dahl, 2016. "Risk Management for Grain Processors and “Copulas”," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 64(2), pages 365-382, June.
  • Handle: RePEc:bla:canjag:v:64:y:2016:i:2:p:365-382
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    1. Sukcharoen, Kunlapath & Leatham, David J., 2017. "Hedging downside risk of oil refineries: A vine copula approach," Energy Economics, Elsevier, vol. 66(C), pages 493-507.

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