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.

MoreLess

Year of publication:	2000
Authors:	Ramirez, Octavio A. ; Sosa, Romeo
Institutions:	Agricultural and Applied Economics Association - AAEA
Subject:	Research Methods/ Statistical Methods \| Risk and Uncertainty

More details

Extent:	application/pdf
Series:	2000 Annual meeting, July 30-August 2, Tampa, FL.
Type of publication:	Book / Working Paper
Notes:	The text is part of a series 2000 Annual meeting, July 30-August 2, Tampa, FL Number 21888
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005468468