A combination of experimental and simulation procedures identify important factors in an Illinois cash grain farmerÂ’s machinery investment decisions. In an experiment setting, a panel of farmers based investment decisions on their own expectations, farm situations, and varying policy...

The absolute and relative risk aversion characteristics of a large sample of farm operators were estimated from the observed portfolio responses to changes in wealth. Regression estimates suggest that farm operators display decreasing absolute risk aversion. Relative risk aversion varies by type...

Results of comparing updating versus nonupdating modeling assumptions call into question the use of models based on nonupdating strategies as valid representations of actual farmer actions. If farmers are sequential updaters, the results indicate that models assuming no updating are inaccurate....

Mean-variance efficient portfolio analysis is applied to situations where not all assets are perfectly price elastic in demand nor are asset moments known with certainty. Estimation and solution of such a model are based on an agricultural banking example. The distinction and advantages of a...

In light of recent developments in agricultural credit evaluations, this study employs a multiperiod simulation model that endogenizes farm investment decisions, credit evaluations, and loan pricing based on the credit scoring procedures of agricultural lender. Model results show that...

This paper extends finance theory under risk to account for borrowing behavior under financial stress conditions. As the financial stress level for the firm increases, the role of credit or unused borrowing capacity changes. With a strong equity position, credit is valued as a reserve to avoid...

This paper examines farmland investment decisions using a stochastic dynamic programming framework. Consideration is given to the dynamic, stochastic nature of farmland returns, linkages between farmland returns and farmland prices, and the effects of the above dynamic factors on a farmÂ’s...