Parametric, non-parametric, and semi-parametric approaches are commonly used for modeling correlated distributions. Semi-parametric and non-parametric approaches are used to examine the risk situation for Kansas agriculture. Results from the model indicate that 2000 will be another difficult...

This paper attempts to improve the ability of farm managers and lenders to forecast expected financial performance of farm businesses using a neuro-fuzzy inference system. Ex-ante farm financial performance is examined to identify the farms that are likely to become financially stressed before...

Agricultural lenders in today’s environment face many challenges when evaluating the creditworthiness of farm borrowers. To address these challenges, a survey was conducted with financial institutions in Kansas and Indiana where agricultural lenders were asked for their responses to...

This study investigates the dynamics of agribusiness stock returns and the market return for 22 firms in a switching-regression framework. Threshold levels and regression slopes are estimated and tested. Results indicate how parameters differ for alternative regimes, at what levels dynamic...

Parametric, non-parametric, and semi-parametric approaches are commonly used for modeling correlated distributions. Semi-parametric and non-parametric approaches are used to examine the risk situation for Kansas agriculture. Results from the model indicate that 2000 will be another difficult...

Agricultural lenders in today’s environment face many challenges when evaluating the creditworthiness of farm borrowers. To address these challenges, a survey was conducted with financial institutions in Kansas and Indiana where agricultural lenders were asked for their responses to...