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Enterprise-level risk assessment of geographically diversified commercial farms: a copula approach Author info | Abstract | Publisher info | Download info | Related research | Statistics Larsen, Ryan
Vedenov, Dmitry
Leatham, David
As agriculture becomes more industrialized, the role of risk measures such as value-at-risk (VaR) will become more utilized. In this case it was applied to geographical diversification and also modifying the traditional VaR estimation by incorporating a copula dependence parameter into the VaR estimation. In addition, an alternative risk measure was also calculated, CVaR. The CVaR, unlike VaR, is a coherent risk measure. Thus it does not suffer from many of the shortcomings of the VaR. The land portfolio consisted of Dryland wheat production acres in Texas, Colorado, and Montana. Three series of net returns were calculated for each region. Based on the VaR and the CVaR, the portfolio was optimized based on minimizing the expected loss based on historical net revenues. The results showed that diversification could be reduced by producing in all three areas. â
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Paper provided by Southern Agricultural Economics Association in its series 2009 Annual Meeting, January 31-February 3, 2009, Atlanta, Georgia with number
46763.
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Date of creation: 2009Date of revision:
Handle: RePEc:ags:saeana:46763Contact details of provider: Web page: http://www.saea.org/ More information through EDIRC
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Keywords: Copula ; CVaR ; Risk-Management ; Geographical Diversification ; Agribusiness ; Farm Management ; Risk and Uncertainty ; Other versions of this item:
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References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.: Vedenov, Dmitry, 2008.
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