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.
|Date of creation:||2000|
|Date of revision:|
|Contact details of provider:|| Postal: |
Phone: (414) 918-3190
Fax: (414) 276-3349
Web page: http://www.aaea.org
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Bruce A. Babcock & David A. Hennessy, 1996.
"Input Demand under Yield and Revenue Insurance,"
American Journal of Agricultural Economics,
Agricultural and Applied Economics Association, vol. 78(2), pages 416-427.
- 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.
- Babcock, Bruce A. & Hennessy, David A., 1996. "Input Demand Under Yield and Revenue Insurance," Staff General Research Papers 794, Iowa State University, Department of Economics.
- Meyer, Jack, 1977. "Choice among distributions," Journal of Economic Theory, Elsevier, vol. 14(2), pages 326-336, April.
- McDonald, James B., 1989. "Partially adaptive estimation of ARMA time series models," International Journal of Forecasting, Elsevier, vol. 5(2), pages 217-230.
- Anderson, Jock R., 1974. "Simulation: Methodology and Application in Agricultural Economics," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 42(01), March.
When requesting a correction, please mention this item's handle: RePEc:ags:aaea00:21888. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search)
If references are entirely missing, you can add them using this form.