One of the more significant changes in the U. S. agricultural industry in recent years has been the increased use of credit to finance production and capital expenditures. Since 1970, outstanding farm debt has more than doubled, rising at an average annual rate of 9.3 percent. However, because net farm income has not increased as fast, the debt burden for farm operators has become relatively higher (Melichar and Waldheger). This increase in debt load has made financial evaluation more difficult for lenders. Narrow profit margins and increased average loan size have made financial institutions more aware of the need to determine, for their loan portfolio, how borrower and agricultural business characteristics relate to debt repayment ability and loan quality.
[1]
Charles P. Bonini,et al.
Statistical Analysis for Business Decisions
,
1973
.
[2]
Robert A. McLean.
Statistical Analysis for Business Decisions
,
1968
.
[3]
Michael R. Anderberg,et al.
Cluster Analysis for Applications
,
1973
.
[4]
Robert A. Eisenbeis,et al.
Discriminant analysis and classification procedures: theory and applications
,
1972
.
[5]
V. Ramadas Pantulu,et al.
Agricultural Finance
,
1944
.
[6]
R. Bruce Johnson,et al.
Agricultural Loan Evaluation with Discriminant Analysis
,
1973,
Journal of Agricultural and Applied Economics.