ASSESSING THE FINANCIAL RISKS OF DIVERSIFIED COFFEE PRODUCTION SYSTEMS: AN ALTERNATIVE NONNORMAL CDF ESTIMATION APPROACH

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dc.creatorRamirez, Octavio A.
dc.creatorSosa, Romeo
dc.date2017-04-01T13:55:38Z
dc.date.accessioned2026-07-09T04:10:53Z
dc.descriptionRecently developed techniques are adapted and combined for the modeling and simulation of crop yields and prices that can be mutually correlated, exhibit heteroskedasticity or autocorrelation, and follow nonnormal probability density functions. The techniques are applied to the modeling and simulation of probability distribution functions for the returns of three tropical agroforestry systems for coffee production. The importance of using distribution functions that can more closely reflect the statistical behavior of yields and prices for risk analysis is discussed and illustrated.
dc.identifierdoi:10.22004/ag.econ.30838
dc.identifierhttps://ageconsearch.umn.edu/record/30838/files/25010267.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/30838
dc.identifier.urihttp://hdl.handle.net/123456789/546007
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/30838
dc.titleASSESSING THE FINANCIAL RISKS OF DIVERSIFIED COFFEE PRODUCTION SYSTEMS: AN ALTERNATIVE NONNORMAL CDF ESTIMATION APPROACH
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