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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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    as
    1. Giot, Pierre & Laurent, Sebastien, 2003. "Market risk in commodity markets: a VaR approach," Energy Economics, Elsevier, vol. 25(5), pages 435-457, September.
    2. Vedenov, Dmitry V., 2008. "Application of Copulas to Estimation of Joint Crop Yield Distributions," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6264, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Wei Sun & Svetlozar Rachev & Frank Fabozzi & Petko Kalev, 2009. "A new approach to modeling co-movement of international equity markets: evidence of unconditional copula-based simulation of tail dependence," Empirical Economics, Springer, vol. 36(1), pages 201-229, February.
    4. Gregory W. Brown & Klaus Bjerre Toft, 2002. "How Firms Should Hedge," The Review of Financial Studies, Society for Financial Studies, vol. 15(4), pages 1283-1324.
    5. Harry Markowitz, 1952. "Portfolio Selection," Journal of Finance, American Finance Association, vol. 7(1), pages 77-91, March.
    6. Sergio H. Lence & Dermot J. Hayes, 1994. "The Empirical Minimum-Variance Hedge," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(1), pages 94-104.
    7. Richard E. Just & Quinn Weninger, 1999. "Are Crop Yields Normally Distributed?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(2), pages 287-304.
    8. Garcia, Philip & Adam, Brian D. & Hauser, Robert J., 1994. "The Use Of Mean-Variance For Commodity Futures And Options Hedging Decisions," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 19(1), pages 1-14, July.
    9. Yong Sakong & Dermot J. Hayes & Arne Hallam, 1993. "Hedging Production Risk With Options," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(2), pages 408-415.
    10. Zylstra, Michael J. & Kilmer, Richard L. & Uryasev, Stanislav, 2003. "Risk Balancing Strategies In The Florida Dairy Industry: An Application Of Conditional Value At Risk," 2003 Annual meeting, July 27-30, Montreal, Canada 22021, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    11. Fernandez, Viviana, 2008. "Copula-based measures of dependence structure in assets returns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(14), pages 3615-3628.
    12. William W. Wilson & William E. Nganje & Cullen R. Hawes, 2007. "Value-at-Risk in Bakery Procurement," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 29(3), pages 581-595.
    13. Harvey Lapan & Giancarlo Moschini, 1994. "Futures Hedging Under Price, Basis, and Production Risk," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(3), pages 465-477.
    14. Alexander, S. & Coleman, T.F. & Li, Y., 2006. "Minimizing CVaR and VaR for a portfolio of derivatives," Journal of Banking & Finance, Elsevier, vol. 30(2), pages 583-605, February.
    15. Alexander, Gordon J. & Baptista, Alexandre M., 2002. "Economic implications of using a mean-VaR model for portfolio selection: A comparison with mean-variance analysis," Journal of Economic Dynamics and Control, Elsevier, vol. 26(7-8), pages 1159-1193, July.
    16. Asim Ghosh, 1993. "Hedging with stock index futures: Estimation and forecasting with error correction model," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 13(7), pages 743-752, October.
    17. Zhu, Ying & Ghosh, Sujit K. & Goodwin, Barry K., 2008. "Modeling Dependence in the Design of Whole Farm---A Copula-Based Model Approach," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6282, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    18. Philippe Artzner & Freddy Delbaen & Jean‐Marc Eber & David Heath, 1999. "Coherent Measures of Risk," Mathematical Finance, Wiley Blackwell, vol. 9(3), pages 203-228, July.
    19. Lorán Chollete & Andréas Heinen & Alfonso Valdesogo, 2009. "Modeling International Financial Returns with a Multivariate Regime-switching Copula," Journal of Financial Econometrics, Oxford University Press, vol. 7(4), pages 437-480, Fall.
    20. Bullock, David W. & Wilson, William W. & Dahl, Bruce L., 2007. "Strategic use of futures and options by commodity processors," International Review of Economics & Finance, Elsevier, vol. 16(4), pages 578-591.
    21. Buch, A. & Dorfleitner, G., 2008. "Coherent risk measures, coherent capital allocations and the gradient allocation principle," Insurance: Mathematics and Economics, Elsevier, vol. 42(1), pages 235-242, February.
    22. Hsiang‐Tai Lee, 2009. "A copula‐based regime‐switching GARCH model for optimal futures hedging," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 29(10), pages 946-972, October.
    23. William W. Wilson & William E. Nganje & Robert Wagner, 2006. "Hedging Strategies for Grain Processors," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 54(2), pages 311-326, June.
    24. Stoica, George, 2006. "Relevant coherent measures of risk," Journal of Mathematical Economics, Elsevier, vol. 42(6), pages 794-806, September.
    25. Mark R. Manfredo & Raymond M. Leuthold, 2001. "Market risk and the cattle feeding margin: An application of Value-at-Risk," Agribusiness, John Wiley & Sons, Ltd., vol. 17(3), pages 333-353.
    26. Ryan Larsen & James W. Mjelde & Danny Klinefelter & Jared Wolfley, 2013. "The use of copulas in explaining crop yield dependence structures for use in geographic diversification," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 73(3), pages 469-492, November.
    27. Rodriguez, Juan Carlos, 2007. "Measuring financial contagion: A Copula approach," Journal of Empirical Finance, Elsevier, vol. 14(3), pages 401-423, June.
    28. Peck, Anne E. & Nahmias, Antoinette M., 1989. "Hedging Your Advice: Do Portfolio Models Explain Hedging?," Food Research Institute Studies, Stanford University, Food Research Institute, vol. 21(2), pages 1-12.
    29. Alexander, Gordon J. & Baptista, Alexandre M. & Yan, Shu, 2007. "Mean-variance portfolio selection with `at-risk' constraints and discrete distributions," Journal of Banking & Finance, Elsevier, vol. 31(12), pages 3761-3781, December.
    30. Rolfo, Jacques, 1980. "Optimal Hedging under Price and Quantity Uncertainty: The Case of a Cocoa Producer," Journal of Political Economy, University of Chicago Press, vol. 88(1), pages 100-116, February.
    31. Sandeep Mohapatra & Rachael E. Goodhue & Colin A. Carter & James A. Chalfant, 2010. "Effects of Forward Sales on Spot Markets: Pre-commitment Sales and Prices for Fresh Strawberries," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(1), pages 152-163.
    32. Manfredo, Mark R. & Garcia, Philip & Leuthold, Raymond M., 2000. "Time-Varying Multiproduct Hedge Ratio Estimation In The Soybean Complex: A Simplified Approach," 2000 Conference, April 17-18 2000, Chicago, Illinois 18933, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    33. Dahlgran, Roger A., 2005. "Transaction Frequency and Hedging in Commodity Processing," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 30(3), pages 1-20, December.
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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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