We applied the migration approach to credit scoring measurement to determine how ratings, focused on farm characteristics such as farm size, age, and farm business type, change across business cycles. The empirical results from analyzing migration matrices using data from FBFM suggest that old, large and grain farms are more likely to upgrade their classes, while young, small, livestock farms are likely to downgrade. The migration matrices for each characteristic across the business cycles show that all farm businesses (except small, livestock farms) have a tendency to deteriorate during the recession cycles regardless of their characteristics
This paper uses FBFM (Illinois Farm Business Farm Management Association) data to analyze several ke...
<div><p>Using migration data of a rating agency, this paper attempts to quantify the impact of macro...
Employing a logit model and farm-level data for Illinois from 1995 to 2004, this study explores the ...
We applied the migration approach to credit scoring measurement to determine how ratings, focused on...
This study examines credit score migration rates of farm businesses. We test whether migration prob...
This study uses the cohort approach to estimate the credit risk migration probability of farm busine...
This study utilizes comparisons and Probit regression analysis to determine the influence of previou...
Probit regression techniques are used to identify factors affecting rates of farm credit migration. ...
This paper examines the relative financial strength and endurance of several paired classes of farme...
Agricultural credit risk migration is examined using loan records gathered from four agricultural le...
Loan records and lender credit risk classifications are used to examine agricultural credit risk mig...
Loan records and lender credit risk classifications are used to examine agricultural credit risk mig...
The objective of this paper is to examine credit migration of individual Kansas farms from 1980-2003...
The objective of this paper is to examine credit migration of individual Kansas farms from 1980-2003...
Pro forma financial performance evaluation of agricultural producers is an important issue for lende...
This paper uses FBFM (Illinois Farm Business Farm Management Association) data to analyze several ke...
<div><p>Using migration data of a rating agency, this paper attempts to quantify the impact of macro...
Employing a logit model and farm-level data for Illinois from 1995 to 2004, this study explores the ...
We applied the migration approach to credit scoring measurement to determine how ratings, focused on...
This study examines credit score migration rates of farm businesses. We test whether migration prob...
This study uses the cohort approach to estimate the credit risk migration probability of farm busine...
This study utilizes comparisons and Probit regression analysis to determine the influence of previou...
Probit regression techniques are used to identify factors affecting rates of farm credit migration. ...
This paper examines the relative financial strength and endurance of several paired classes of farme...
Agricultural credit risk migration is examined using loan records gathered from four agricultural le...
Loan records and lender credit risk classifications are used to examine agricultural credit risk mig...
Loan records and lender credit risk classifications are used to examine agricultural credit risk mig...
The objective of this paper is to examine credit migration of individual Kansas farms from 1980-2003...
The objective of this paper is to examine credit migration of individual Kansas farms from 1980-2003...
Pro forma financial performance evaluation of agricultural producers is an important issue for lende...
This paper uses FBFM (Illinois Farm Business Farm Management Association) data to analyze several ke...
<div><p>Using migration data of a rating agency, this paper attempts to quantify the impact of macro...
Employing a logit model and farm-level data for Illinois from 1995 to 2004, this study explores the ...