Assessing The Financial Risks Of Diversified Coffee Production Systems: An Alternative Nonnormal Cdf Estimation Approach
Recently 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.
Volume (Year): 25 (2000)
Issue (Month): 01 (July)
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- McDonald, James B., 1989. "Partially adaptive estimation of ARMA time series models," International Journal of Forecasting, Elsevier, vol. 5(2), pages 217-230.
- Bruce A. Babcock & Joseph A. Herriges, 1994.
"Input Demand Under Yield and Revenue Insurance,"
Center for Agricultural and Rural Development (CARD) Publications
94-wp127, Center for Agricultural and Rural Development (CARD) at Iowa State University.
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