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Risk Analysis Under Correlated, Non-Normal Price And Yield Probability Distributions

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  • Ramirez, Octavio A.
  • Sosa, Romeo

Abstract

Recently developed techniques are combined for modeling mutually correlated crop yields and prices that exhibit heteroscedasticity and autocorrelation, respectively, and follow non-normal probability density functions (pdf's). The importance rigorously modeling these pdf's for financial risk analysis is illustrated through a case study of tropical agroforestry systems for coffee production.

Suggested Citation

  • Ramirez, Octavio A. & Sosa, Romeo, 2000. "Risk Analysis Under Correlated, Non-Normal Price And Yield Probability Distributions," 2000 Annual meeting, July 30-August 2, Tampa, FL 21888, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea00:21888
    DOI: 10.22004/ag.econ.21888
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    References listed on IDEAS

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