78 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2009.Finally, the results illustrate that the methods used in the study can be also applied to agricultural lending using available farm records, which provides a solution to the two major issues in risk assessment for agricultural lending, i.e. lack of long-time loss data and limited information of macroeconomic factors on changes of farm assets.U of I OnlyRestricted to the U of I community idenfinitely during batch ingest of legacy ETD
Agricultural credit risk migration is examined using loan records gathered from four agricultural le...
This study utilizes comparisons and Probit regression analysis to determine the influence of previou...
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...
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 ...
217 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2003.Four explanatory variables: D...
Credit risk models are developed and used to estimate capital requirements for agricultural lenders ...
The study addresses problems in measuring credit risk under the structure model, and then proposes a...
155 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1993.Credit scoring models were de...
A framework is identified for modeling credit risk in agriculture. A CreditRisk+ type model is deeme...
This study analyzes the personal and farm characteristics that influence the use of farm credit, the...
Farmer Mac is the GSE charged with creating a secondary market in loans backed by agricultural real ...
96 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1997.It was concluded, based on sta...
As a consequence of rapid structural change and new investment support scheme agricultural debts hav...
Agricultural credit risk migration is examined using loan records gathered from four agricultural le...
This study utilizes comparisons and Probit regression analysis to determine the influence of previou...
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...
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 ...
217 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2003.Four explanatory variables: D...
Credit risk models are developed and used to estimate capital requirements for agricultural lenders ...
The study addresses problems in measuring credit risk under the structure model, and then proposes a...
155 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1993.Credit scoring models were de...
A framework is identified for modeling credit risk in agriculture. A CreditRisk+ type model is deeme...
This study analyzes the personal and farm characteristics that influence the use of farm credit, the...
Farmer Mac is the GSE charged with creating a secondary market in loans backed by agricultural real ...
96 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1997.It was concluded, based on sta...
As a consequence of rapid structural change and new investment support scheme agricultural debts hav...
Agricultural credit risk migration is examined using loan records gathered from four agricultural le...
This study utilizes comparisons and Probit regression analysis to determine the influence of previou...
This study uses the cohort approach to estimate the credit risk migration probability of farm busine...