Credit risk models are developed and used to estimate capital requirements for agricultural lenders under the New Basel Capital Accord. The theoretical models combine Merton’s distance-to-default approach with credit value-at-risk methodologies. Two applied models, CreditMetrics and KMV, are illustrated using farm financial data. Expected and unexpected losses for a portfolio of farms are calculated using probability of default, loss given default, and portfolio risk measures. The results show that credit quality and correlations among farms play a significant role in risk pricing for agricultural lenders
This study aims to propose a statistical model for the granting of credits in the agricultural secto...
Farmer Mac is the GSE charged with creating a secondary market in loans backed by agricultural real ...
Pro forma financial performance evaluation of agricultural producers is an important issue for lende...
Credit risk models are developed and used to estimate capital requirements for agricultural lenders ...
is deemed most suitable for agricultural lending. The CreditRisk+ model is modified to overcome its ...
A framework is identified for modeling credit risk in agriculture. A CreditRisk+ type model is deeme...
The New Basel Capital Accord (Basel II) provides added emphasis to the development of portfolio cred...
The study measures farm credit risk by using farm records collected by Farm Business Farm Management...
Credit risks are unanticipated variations in costs and availability of credit that arise from forces...
The study addresses problems in measuring credit risk under the structure model, and then proposes a...
217 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2003.Four explanatory variables: D...
Agricultural credit risk migration is examined using loan records gathered from four agricultural le...
In this paper, we have developed a credit scoring model for agricultural loan portfolio of a large P...
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...
This study aims to propose a statistical model for the granting of credits in the agricultural secto...
Farmer Mac is the GSE charged with creating a secondary market in loans backed by agricultural real ...
Pro forma financial performance evaluation of agricultural producers is an important issue for lende...
Credit risk models are developed and used to estimate capital requirements for agricultural lenders ...
is deemed most suitable for agricultural lending. The CreditRisk+ model is modified to overcome its ...
A framework is identified for modeling credit risk in agriculture. A CreditRisk+ type model is deeme...
The New Basel Capital Accord (Basel II) provides added emphasis to the development of portfolio cred...
The study measures farm credit risk by using farm records collected by Farm Business Farm Management...
Credit risks are unanticipated variations in costs and availability of credit that arise from forces...
The study addresses problems in measuring credit risk under the structure model, and then proposes a...
217 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2003.Four explanatory variables: D...
Agricultural credit risk migration is examined using loan records gathered from four agricultural le...
In this paper, we have developed a credit scoring model for agricultural loan portfolio of a large P...
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...
This study aims to propose a statistical model for the granting of credits in the agricultural secto...
Farmer Mac is the GSE charged with creating a secondary market in loans backed by agricultural real ...
Pro forma financial performance evaluation of agricultural producers is an important issue for lende...