Agricultural credit risk migration is examined using loan records gathered from four agricultural lenders. Results indicate that lender risk ratings are much more stable than ratings based on credit scores estimated from financial statements, highlighting the importance played by nonfinancial factors such as management capacity, character, and collateral in assessing credit risk. Additionally, the borrower’s risk tier, personal characteristics, and the stage of the business life cycle provide useful information in predicting credit quality downgrades, while the primary agricultural enterprise does not impact the likelihood of a downgrade.Agricultural lending, Credit quality, Credit risk, Credit risk migration
This study uses the cohort approach to estimate the credit risk migration probability of farm busine...
78 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2009.Finally, the results illustrat...
is deemed most suitable for agricultural lending. The CreditRisk+ model is modified to overcome its ...
WP 2004-08 May 2004Loan records and lender credit risk classifications are used to examine agricultu...
Loan records and lender credit risk classifications are used to examine agricultural credit risk mig...
This study utilizes comparisons and Probit regression analysis to determine the influence of previou...
This study examines credit score migration rates of farm businesses. We test whether migration prob...
We applied the migration approach to credit scoring measurement to determine how ratings, focused on...
Credit risk models are developed and used to estimate capital requirements for agricultural lenders ...
Credit risk models are developed and used to estimate capital requirements for agricultural lenders ...
Credit risks are unanticipated variations in costs and availability of credit that arise from forces...
A framework is identified for modeling credit risk in agriculture. A CreditRisk+ type model is deeme...
As a consequence of rapid structural change and new investment support scheme agricultural debts hav...
Probit regression techniques are used to identify factors affecting rates of farm credit migration. ...
Pro forma financial performance evaluation of agricultural producers is an important issue for lende...
This study uses the cohort approach to estimate the credit risk migration probability of farm busine...
78 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2009.Finally, the results illustrat...
is deemed most suitable for agricultural lending. The CreditRisk+ model is modified to overcome its ...
WP 2004-08 May 2004Loan records and lender credit risk classifications are used to examine agricultu...
Loan records and lender credit risk classifications are used to examine agricultural credit risk mig...
This study utilizes comparisons and Probit regression analysis to determine the influence of previou...
This study examines credit score migration rates of farm businesses. We test whether migration prob...
We applied the migration approach to credit scoring measurement to determine how ratings, focused on...
Credit risk models are developed and used to estimate capital requirements for agricultural lenders ...
Credit risk models are developed and used to estimate capital requirements for agricultural lenders ...
Credit risks are unanticipated variations in costs and availability of credit that arise from forces...
A framework is identified for modeling credit risk in agriculture. A CreditRisk+ type model is deeme...
As a consequence of rapid structural change and new investment support scheme agricultural debts hav...
Probit regression techniques are used to identify factors affecting rates of farm credit migration. ...
Pro forma financial performance evaluation of agricultural producers is an important issue for lende...
This study uses the cohort approach to estimate the credit risk migration probability of farm busine...
78 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2009.Finally, the results illustrat...
is deemed most suitable for agricultural lending. The CreditRisk+ model is modified to overcome its ...