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Using climate information to approximate the value at risk of a forward contracted canola crop

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Listed:
  • Wallace, Garry E.
  • Samsul Huda, A.K.

Abstract

In recent decades farmers have used financial instruments such as cash forward contracts to lock-in a price for increasing proportions of their crop through different stages of the production cycle. Given the high variability of the Australian climate this practice has inherent risk with drought induced crop failure being significantly probable. Under failed crop conditions farmers buy themselves out of the contracted position at prevailing prices thereby compounding the financial burden of crop failure. This paper reports on the role of the relatively recent developments in climate prediction, based on the SOI phase system, to develop crop yield probability distributions using regression approximation and to evaluate the Value at Risk of establishing a forward contracted position. Value at Risk is here defined as the 5% interval of the probability distribution of Enterprise Gross Margin and is used to ascertain the capital adequacy of a business in the face of a worst-case scenario.

Suggested Citation

  • Wallace, Garry E. & Samsul Huda, A.K., 2005. "Using climate information to approximate the value at risk of a forward contracted canola crop," AFBM Journal, Australasian Farm Business Management Network, vol. 2(01), pages 1-9.
  • Handle: RePEc:ags:afbmau:123144
    DOI: 10.22004/ag.econ.123144
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    References listed on IDEAS

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    1. Thomas J. Linsmeier & Neil D. Pearson, 1996. "Risk Measurement: An Introduction to Value at Risk," Finance 9609004, University Library of Munich, Germany.
    2. Mark R. Manfredo & Raymond M. Leuthold, 1999. "Value-at-Risk Analysis: A Review and the Potential for Agricultural Applications," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 21(1), pages 99-111.
    3. James W. Mjelde & Steven T. Sonka & Bruce L. Dixon & Peter J. Lamb, 1988. "Valuing Forecast Characteristics in a Dynamic Agricultural Production System," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 70(3), pages 674-684.
    4. Linsmeier, Thomas J. & Pearson, Neil D., 1996. "Risk measurement: an introduction to value at risk," ACE Reports 14796, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics.
    5. Pannell, David J. & Malcolm, Bill & Kingwell, Ross S., 2000. "Are we risking too much? Perspectives on risk in farm modelling," Agricultural Economics, Blackwell, vol. 23(1), pages 69-78, June.
    6. repec:ags:agsaem:288652 is not listed on IDEAS
    7. Anderson, Jock R. & Feder, Gershon, 2007. "Agricultural Extension," Handbook of Agricultural Economics, in: Robert Evenson & Prabhu Pingali (ed.), Handbook of Agricultural Economics, edition 1, volume 3, chapter 44, pages 2343-2378, Elsevier.
    8. Anderson, Jock R. & Dillon, John L. & Hardaker, Brian, 1977. "Agricultural Decision Analysis," Monographs: Applied Economics, AgEcon Search, number 288652.
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