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

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.


Issue Date:
2000
Publication Type:
Conference Paper/ Presentation
PURL Identifier:
http://purl.umn.edu/21888
Total Pages:
27
Series Statement:
Selected Paper




 Record created 2017-04-01, last modified 2017-08-24

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