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RISK ANALYSIS UNDER CORRELATED, NON-NORMAL PRICE AND YIELD PROBABILITY DISTRIBUTIONS

Octavio Ramirez and Romeo Sosa

No 21888, 2000 Annual meeting, July 30-August 2, Tampa, FL from American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association)

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.

Keywords: Research Methods/ Statistical Methods; Risk and Uncertainty (search for similar items in EconPapers)
Pages: 27
Date: 2000
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Persistent link: https://EconPapers.repec.org/RePEc:ags:aaea00:21888

DOI: 10.22004/ag.econ.21888

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